Software Engineer - ETL & Data

About Our TeamAt DoorDash, data drives our success. Our Data Engineering team is pivotal in building robust database solutions tailored for diverse applications, including reporting, product analytics, marketing optimization, and financial reporting. By architecting pipelines, data structures, and data warehouse environments, we enable data-driven decision-making across the organization.About the RoleWe are seeking a talented Software Engineer II to join our team as a technical leader, responsible for scaling our data infrastructure, enhancing automation, and developing tools to support our expanding business needs.What You Will DoCollaborate with business partners and stakeholders to gather and understand data requirements.Work alongside engineering, product teams, and external partners to ensure seamless data collection.Design, develop, and implement high-performance data models and pipelines for our Data Lake and Data Warehouse.Establish and execute data quality checks, conduct thorough QA, and implement monitoring routines.Enhance the reliability and scalability of our ETL processes.Manage a suite of data products that deliver accurate and trustworthy data.Support and onboard new engineers as they join our team.What We Are Looking For3+ years of professional experience in data engineering, business intelligence, or a related field.Proficiency in programming languages such as Python and Java.3+ years of experience with ETL orchestration and workflow management tools, including Airflow, Flink, Oozie, and Azkaban, using AWS/GCP platforms.Strong understanding of database fundamentals, SQL, and distributed computing.3+ years of experience with distributed data ecosystems (e.g., Spark, Hive, Druid, Presto) and streaming technologies like Kafka and Flink.Experience with Snowflake, Redshift, PostgreSQL, and/or other database management systems.Excellent communication skills with a proven ability to liaise with both technical and non-technical teams.Familiarity with reporting tools such as Tableau, Superset, and Looker.Able to thrive in a fast-paced and dynamic environment.

Location: San Francisco, CARole: Software Engineer II - Data Management Amplitude is an AI analytics platform trusted by more than 4,700 organizations, such as Atlassian, Burger King, NBCUniversal, and Square. Teams use Amplitude to analyze, test, and improve digital experiences, with AI Agents integrated throughout the product. The company has received top rankings in several categories in G2’s Winter 2026 Report. More information can be found at amplitude.com. Amplitude’s culture centers on humility, ownership, a growth mindset, and a strong focus on customers. Teams work together, learn from both wins and setbacks, and aim to deliver real value. The company is committed to building diverse teams, believing this leads to better products and solutions. Amplitude fosters an inclusive workplace where psychological safety, empathy, and authentic connections help everyone thrive. Role overview The Data Management team at Amplitude develops the Trust Engine, a core part of the platform. This group’s mission is to go beyond basic data entry and build an intelligent, self-healing data ecosystem. What you will do Shape technical direction for how customers define, govern, and trust data at scale. Design and build systems covering the full data lifecycle, from ingestion planning to semantic enrichment and data observability. Work across backend infrastructure, APIs, and interfaces that customers use. Automate and improve data governance, supporting AI-driven features such as 'Ask AI' and Data Assistant. Address challenges related to data integrity, which is essential for analytics. Contribute to a team that iterates quickly, working on projects ranging from new features to scaling the codebase and infrastructure. As a Software Engineer II, you will Deliver features end-to-end. Take ownership of features and improvements that enhance data quality, reliability, and customer experience, from initial idea to launch, with guidance from senior engineers as needed.

Mapbox stands as a premier real-time location platform, empowering a new generation of location-aware businesses. Our platform uniquely provides organizations with a comprehensive suite of tools essential for navigating people, packages, and vehicles across the globe. With over 4 million registered developers choosing Mapbox for its flexibility, security, and privacy compliance, companies leverage our applications, data, SDKs, and APIs to craft tailored and immersive experiences that captivate their customers.About the Search Data TeamThe Search Data team is responsible for providing address, place, and points of interest (POI) data for global searches across various countries. This functionality is critical for our clients’ applications, and our team collaborates closely with the Maps and Navigation divisions at Mapbox. We handle batch data from a multitude of sources, utilizing ETL data pipelines to prepare it for our search engines. This work presents diverse challenges, including algorithm development, scalability, and quality assessment. As a Software Development Engineer on the Search Data team, you will engage with vast datasets—hundreds of millions of records—playing a crucial role in developing sophisticated mapping and navigation software for vehicles, web applications, and mobile devices.With AI increasingly integrated into engineering workflows, we seek engineers who can thoughtfully incorporate AI into design, development, and decision-making. Our interview process will include discussions surrounding your use of AI in engineering.

Founded in 2007, Airbnb began its journey when two hosts welcomed three guests into their San Francisco home. Today, we boast a thriving community of over 5 million hosts who have welcomed more than 2 billion guest arrivals across nearly every country worldwide. Our hosts provide exceptional stays and unique experiences, enabling guests to connect with local communities in a genuine and meaningful way.Join Our Community:At Airbnb, we prioritize the importance of reliable data across all business sectors to drive insight and innovation. To achieve this, we focus on understanding business needs, securing appropriate data sources, designing effective data models, and establishing robust and dependable data pipelines.We are currently recruiting for the following teams:The Data Stewardship Team: A dedicated group of data enthusiasts with diverse expertise in analytics, data modeling, governance, compliance, and scalable data quality. Our mission is to ensure that Airbnb meets its compliance obligations within our data ecosystem while enabling data consumers to easily find the best data suited for their needs. As part of the overall Data Infrastructure organization, we manage the online and offline data infrastructure and oversee the processes that facilitate data transitions between these environments.The Users and Contextualization Data & AI Team: A crucial component of the Marketplace Data & AI, this team focuses on developing foundational data systems that provide deeper insights into essential domains. Specifically, we concentrate on user data (Guests & Hosts) to create high-quality, well-governed user data and insights. These insights are vital for crafting personalized and context-aware experiences that enhance trip quality both on and off the Airbnb platform, ultimately enabling Airbnb to better understand and serve its users throughout their journey.Your Impact:Data Stewardship: This is integral to Airbnb's operations. High-quality data is imperative for our business decisions and the future of our AI initiatives. We are responsible for the overall strategy regarding data quality, identifying critical data and its provenance, measuring the effectiveness of our internal data products, and collaborating with our core catalog team to provide optimal data solutions.

About Our Organization:Welcome to Scribd Inc. (pronounced “scribbed”), where our passion lies in igniting human curiosity through storytelling and knowledge-sharing. We invite you to join our dynamic team as we work towards democratizing the exchange of ideas and empowering collective expertise with our innovative products: Everand, Scribd, Slideshare, and Fable.This job posting represents an established opportunity within our organization.At Scribd, we cultivate a culture where authenticity and boldness thrive. We value open discussions and commitment as we embrace the unexpected, empowering every employee to take initiative while keeping our customers at the forefront.We believe in a balanced approach to work structure, merging individual flexibility with community engagement. Our Scribd Flex program allows employees, in collaboration with their managers, to choose work styles that best suit their needs. This initiative emphasizes the importance of intentional in-person gatherings to foster collaboration and connection. Thus, occasional in-person attendance is a requirement for all Scribd employees, regardless of their remote status.What do we seek in our new teammates? We prioritize candidates who embody “GRIT” – a blend of passion and perseverance towards long-term goals. At Scribd, we encourage a GRIT-driven approach to work, where the ability to set and achieve Goals, deliver Results, contribute Innovative ideas, and positively impact the Team through collaboration is essential.About the Team:Our ML Data Engineering team is at the forefront of metadata extraction, enrichment, and content understanding across all Scribd products. We manage vast volumes of documents and images, ensuring high-quality metadata that enhances content discovery and builds trust among millions of users around the globe.Our systems function on a massive scale, incorporating diverse datasets like user-generated content, ebooks, audiobooks, and more. We operate at the convergence of machine learning, data engineering, and distributed systems, working closely with applied research and product teams to deploy scalable ML solutions.

At Scribd, Inc., we aim to enhance human understanding. Our innovative products—Scribd®, Slideshare®, Everand™, and Fable—empower billions globally to not just access knowledge, but also to apply it and achieve expertise.Company CultureWe foster an environment where our employees can be authentic and courageous, engaging in constructive debates while embracing unexpected challenges. Every team member is encouraged to take initiative, prioritizing customer needs.We understand that optimal performance arises from a mix of personal flexibility and meaningful community interaction. Our Scribd Flex program allows team members to choose their working style and location, while still emphasizing in-person collaborations that enrich our culture. Attendance at occasional in-person events is necessary for all employees, regardless of their location.We seek team members who embody “GRIT”—a blend of passion and perseverance towards long-term objectives. This ethos informs our approach to setting and achieving Goals, delivering impactful Results, fostering Innovation, and enhancing our Team dynamics through collaboration.This posting represents an open position within our organization.About Our Team:Our ML Data Engineering team is responsible for metadata extraction, enrichment, and content comprehension across all Scribd offerings. We handle hundreds of millions of documents and billions of images, providing high-quality metadata to facilitate content discovery and trust for millions of users worldwide.Operating at a massive scale, our systems support diverse datasets, including user-generated content (UGC), ebooks, audiobooks, and more. We collaborate closely with applied research and product teams to deploy scalable machine learning and large language model (LLM)-powered solutions in production.Role Overview:We are looking for a Software Engineer II with robust backend development expertise and a keen interest in addressing complex data challenges at scale. You will design, build, and optimize distributed systems that extract, enrich, and process metadata for a variety of content. This role involves close collaboration with ML engineers, product managers, and cross-functional teams.

About CondorAt Condor, we are transforming the financial infrastructure of clinical development. While substantial investments are made annually to discover and develop new therapies, the processes behind these advancements often remain outdated and disconnected. Our mission is to bridge this gap, creating a cohesive system that integrates clinical operations, vendor activities, and financial data into a real-time intelligence layer. This empowers R&D and finance teams with the insights they need to make informed decisions.Our AI-driven, pharma-native infrastructure is designed to scale industry standards that we have helped shape alongside major partners. We facilitate prediction, control, and execution in some of the most complex R&D environments globally.As we continue to gain the trust of enterprise teams, we are now focused on the critical task of scaling our operations in a high-stakes environment.Condor is a rapidly growing company, backed by leading institutional investors such as Felicis and 645 Ventures, collaborating with top 200 biopharma companies. This is a unique opportunity to contribute to the infrastructure that influences how new therapies reach patients.The RoleWe are seeking a Senior Backend and Data Platform Engineer to play a key role in developing the foundational data infrastructure for Condor’s financial intelligence platform. This position is pivotal in turning complex clinical and financial data into actionable intelligence that enterprise biopharma teams can rely on.In this role, you will be responsible for designing and managing the core data foundations that underpin Condor’s financial engine and AI capabilities. Your work will involve modeling intricate, high-stakes data, constructing reliable data pipelines and services, and ensuring that product features and intelligence workflows function with precision, consistency, and scalability. The systems you develop will directly support critical finance and operational applications.This hands-on, senior engineering position provides you with significant ownership. You will engage with backend services, data pipelines, and APIs, bringing features from concept to production. You will define necessary data schemas, transformations, and architectural patterns that become essential as our platform evolves. Although your primary focus will be on backend and data engineering, you will also be encouraged to work across the stack to ensure seamless integration of data and intelligence.

At Superhuman, we embrace a dynamic hybrid working model, allowing our team members to enjoy focused work time alongside in-person collaboration. This flexible approach fosters trust, innovation, and a vibrant team culture.We are seeking talented individuals based in San Francisco or Seattle for this role.About UsSuperhuman, an innovative AI productivity platform, aims to unlock the superhuman potential within everyone. We integrate AI seamlessly into the workflows of over 40 million people and 50,000 organizations worldwide, offering tools like Grammarly’s writing assistant, Coda’s collaborative workspaces, and our proactive AI assistant Go. Founded in 2009, we are committed to eliminating busywork, enabling our users to focus on what truly matters. Discover more at superhuman.com and learn about our core values here.Join Our TeamWe are on the lookout for a Senior Software Engineer to enhance our Data Enablement team and develop a world-class data platform. Your expertise will be crucial as we manage over 70 billion daily events, driving product enhancements through our systems. This role offers a unique opportunity to engage in every facet of complex software system development, from strategy formulation to architecture design and production deployment.Our engineers and researchers are encouraged to innovate and contribute to significant breakthroughs, shaping the trajectory of our product suite. As we scale our operations, we face increasingly complex technical challenges, providing fertile ground for growth and development. To gain further insights into our work, check out our technical blog.

Superhuman embraces a vibrant hybrid work model, offering team members a blend of focused work and collaborative in-person interactions that cultivate trust, innovation, and a robust company culture. Team members in this role should be located in San Francisco or New York City. About SuperhumanSuperhuman, home to Grammarly, is an innovative AI productivity platform dedicated to unlocking the extraordinary potential in everyone. Our suite of applications seamlessly integrates with over one million tools and websites, featuring Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that delivers contextual help automatically. Founded in 2009, Superhuman empowers over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally, helping them eliminate busywork and focus on what truly matters. Discover more at superhuman.com and learn about our values here.The OpportunityWe are on the lookout for a Senior Engineer to join our Data Platform team, tasked with constructing an exceptional data platform. Superhuman’s success hinges on our capacity to efficiently process 60 to 70 billion daily events, utilizing our systems to enhance our product. This role offers a unique chance to engage in all facets of developing complex software systems, including shaping strategy, defining architecture, and executing deployments to production.Our engineers and researchers enjoy the freedom to innovate and make impactful contributions to our product roadmap. As we scale our interfaces, algorithms, and infrastructure, the complexity of our technical challenges is rapidly increasing. Dive deeper into our team's insights on our technical blog.OverviewAs a Software Engineer on the Data Platform team, you will be instrumental in defining the architecture and technical strategy for our data platform, ensuring scalability, security, and efficiency across our data engineering systems. You will design and spearhead the implementation of robust, scalable, and dependable systems that manage high volumes of data, facilitating both product features and data-driven decision making across the organization. Your responsibilities will encompass areas such as real-time data processing and ETL (Extract, Transform, Load).

Join SoFi as a Senior Software Engineer in our Data Foundations team, where you will play a pivotal role in shaping our data architecture and enhancing our data-driven capabilities. You will work closely with cross-functional teams to develop robust data solutions that empower our business decisions and improve customer experiences.As a Senior Software Engineer, you will leverage your expertise in data engineering, software development, and cloud technologies to build scalable data pipelines and maintain high-quality data infrastructure. Your contributions will directly impact our ability to deliver innovative financial solutions.

Join DoorDash, a leader in the on-demand delivery industry, as we harness the power of data to drive transformative business and product decisions. Our Core Data Platform team is at the forefront of building an operationally efficient analytical data stack that supports our rapid growth.About Our TeamAt DoorDash, we pride ourselves on being a data-centric organization. The Core Data Platform team is responsible for developing the infrastructure that enables us to leverage timely and accurate data for critical insights. We design and operate scalable compute and ingestion frameworks powered by cutting-edge technologies like Spark, Flink, Kafka, Airflow, and innovative lakehouse solutions.About the RoleThis role offers a unique opportunity to contribute to a high-impact team that shapes the future of data at DoorDash. As a Software Engineer, you'll help design and implement frameworks that facilitate data mobility, ingestion, and governance. You'll also play a vital role in setting and maintaining data quality and compliance standards, ensuring that our analytics remain trustworthy and effective. If you're passionate about building systems that drive real-time insights and personalization, we want to hear from you!Your Excitement for This OpportunityLead the vision and strategy for developing scalable frameworks to meet the demands of our growing business.Enhance our analytical platform to handle increasing data volumes and diverse use cases.Utilize your expertise in building and operating high-scale systems with a focus on reliability, scalability, and cost efficiency.Collaborate with stakeholders to create innovative solutions on top of our platform.Contribute to a positive and inclusive work culture, mentoring and uplifting your peers.Your QualificationsB.S., M.S., or PhD in Computer Science or a related field.2+ years of experience at the I4 level, or 5+ years at the I5 level in software engineering.Proven experience in big data technologies (streaming, batch processing, data lakes, OLAP) and promoting real-time data insights.

About Probably GeneticProbably Genetic is revolutionizing the lives of patients with severe and complex diseases. Our advanced data platform empowers drug developers and patient advocacy organizations to create and launch innovative treatments. By leveraging cutting-edge technology, we identify undiagnosed patients online, analyze their conditions using machine learning and home testing, and facilitate compliant communication with them. Our mission is to ensure that patients gain access to diagnoses, clinical trials, and treatments at the earliest opportunity.We are a dedicated team of passionate problem solvers, driven by a purpose that transcends individual interests. By prioritizing patient welfare, we are developing groundbreaking solutions in healthcare, with a roadmap full of innovations in bioinformatics, AI, and drug development. We invite you to join our lean, talented team and contribute to our vision.Probably Genetic has secured multiple funding rounds from top-tier Silicon Valley investors, including Threshold, Khosla, and Y Combinator. We offer competitive salaries, comprehensive benefits, and meaningful equity opportunities for early-stage team members.About the RoleWe are seeking a founding Data Engineer who is enthusiastic about shaping the future of data utilization to enhance patient outcomes. In this pivotal role, you will establish our data engineering architecture and construct the pipelines that drive internal insights and commercial data products. Your contributions will be instrumental in fostering clarity, impact, and growth throughout our organization.What You Will DoCollaborate closely with the Head of Engineering and Head of Product to transform complex data challenges into elegant, scalable solutions.Build reliable, maintainable infrastructure on AWS using Terraform to accommodate our expanding data requirements.Design data tables and pipelines tailored to the specific needs of our customers and internal teams.Implement state-of-the-art data pipelines with built-in observability from day one.Analyze and visualize data using BI tools to facilitate informed business decisions and provide customized insights to clients.Communicate your work and its impact across teams — presenting findings, receiving feedback, and continuously enhancing processes.Who You AreWe are eager to connect with candidates from diverse backgrounds who are committed to learning, growth, and making a meaningful impact. Here are a few attributes that will enable you to thrive in this role:Proficiency in data engineering principles and practices.Experience with cloud platforms, particularly AWS.Strong analytical skills and familiarity with data visualization tools.Ability to collaborate effectively in a team environment.

At Ripple, we’re transforming the way value is transferred globally, making it as seamless and instantaneous as information sharing. Our innovative crypto solutions empower financial institutions, businesses, governments, and developers to enhance the global financial landscape. By joining our talented team, you’ll not only take part in this significant change but also cultivate your career in a supportive environment where collaboration is key.If you’re eager to make a tangible impact and explore remarkable career advancement opportunities, we invite you to join us in creating real-world value.The Role:As a Software Engineer II, you will be a pivotal member of Ripple’s Data Engineering team. Your responsibilities will include the implementation of data ingestion and transformation processes that enable analytics, machine learning, and various business functions. You’ll have a keen eye for identifying system bottlenecks and will constantly seek improvements to enhance cost and performance efficiency. Your hands-on approach will drive crucial technical decisions, ensuring that quality outcomes are achieved while maximizing customer value. Collaboration across various functions—including data science, product management, application engineering, compliance, and finance—will be key to your success in this role.

Join Discord, a platform that connects over 200 million users monthly, primarily through gaming. With over 90% of our users engaging in gaming activities, they spend a staggering 1.5 billion hours playing unique titles every month. Discord is pivotal in shaping the future of gaming, enabling seamless interactions before, during, and after gameplay.Every day, countless gamers gather on Discord to strategize, celebrate victories, and foster communities around their favorite games. Behind our voice channels and streaming sessions lies vast amounts of data, capturing the essence of gaming connections.We are in search of an enthusiastic Software Engineer eager to construct data infrastructure at an enormous scale, with a genuine passion for supporting gaming communities. You will play a crucial role in developing the next-generation Data Platform that drives insightful decisions on one of the most vibrant platforms globally.If you are a Software Engineer who thrives on discussing distributed systems, prioritizes user privacy, and seeks to make data-driven decisions that impact millions of gamers worldwide, we would love to hear from you.For more insights into Discord's Data Platform, check out our engineering blog, including how we built our modern data stack leveraging open-source tools!

Join Pinterest as a Staff Software Engineer specializing in Conversion Data Privacy. In this pivotal role, you will lead the development of innovative solutions that enhance user privacy while supporting our conversion processes. You will collaborate with cross-functional teams to design, implement, and maintain systems that ensure compliance with data privacy regulations and foster user trust.As a key member of our engineering team, you will leverage your expertise in software development and data management to drive projects that have a significant impact on Pinterest's growth and user engagement.

Join Hilbert, a pioneering scalable data science platform driving growth for B2C teams with predictive insights into user behavior and revenue sources. Our innovative technology condenses decision-making timelines from months to mere minutes.Trusted by Fortune 10 companies and cherished brands like FreshDirect, Blank Street, and Levain Bakery, Hilbert empowers operators to enhance their growth strategies. We are also collaborating with leading AI firms to co-develop advanced solutions.We seek an innovative Head of Engineering to spearhead our technical division. You will manage two key departments: Data Engineering and Software/Platform Engineering, growing a team of 15-20 exceptional engineers by the end of the year. This is not a maintenance position; you will cultivate a high-performance system capable of handling 40+ simultaneous mid-market integrations while deploying tailored enterprise-grade AI environments.While you won't be writing all the pull requests, your expertise must shine during high-stakes enterprise architecture discussions, positioning you as the technological ambassador for Hilbert to our major clients.

At Plaid, we believe in the power of data-driven decision-making. Our data culture demands robust and scalable data systems that ensure accuracy and completeness. As a Senior Software Engineer focusing on Data Infrastructure, you will play a pivotal role in empowering teams across engineering, product, and business sectors to swiftly and securely extract valuable data insights. Your work will directly enhance our ability to serve customers effectively. You will be responsible for building and optimizing our data and machine learning infrastructure, allowing Plaid engineers to innovate and iterate on products built on consumer-permissioned financial data. Our Data Infrastructure engineers are experts in Data Warehousing, Data Lakehouse architecture, Spark, Workflow Orchestration, and Streaming technologies. You will enhance our existing data pipelines for performance and cost efficiency while creating intuitive abstractions that simplify the development process for other engineers at Plaid.

Jordan Park Group is a premier investment management firm dedicated to providing tailored financial advice to a unique clientele of individuals, families, and institutions. Our clients are distinguished leaders in business, philanthropy, government, and society. Our diverse team embodies empathy and expertise, tackling complexity and challenges to empower clients in achieving their financial aspirations.Our mission is to enhance lives and legacies through strategic financial management.Associate Software Engineer - Data PlatformSan Francisco, CaliforniaYour OpportunityWe are looking for a motivated Technology & Data Engineering Associate to elevate our data platform and enhance data quality initiatives. This role sits at the dynamic intersection of data engineering, analytics, data quality management, and AI integration.The Associate will be responsible for designing, building, and maintaining production-grade data systems, collaborating closely with executives, investment teams, operations, and client services to achieve significant business outcomes. This is a hands-on technical position that offers substantial ownership and visibility within the organization.Your RoleData PlatformDesign, build, and maintain robust SQL data pipelines (e.g., dbt + Snowflake + Python)Develop and manage orchestration workflows (Airflow or equivalent)Create data ingestion processes and API integrationsMonitor pipeline reliability and performance; proactively resolve issuesData Quality & ControlsDevelop deep expertise in the firm’s data, systems, and processesDesign reconciliation frameworks across systems and automate data validation and exception reportingPerform detailed variance analysis and root cause investigationsCollaborate with operations and finance teams to ensure reporting accuracyAnalytics & Business IntelligenceArchitect and maintain Tableau dashboards utilized across the firmTrain and support internal stakeholders on self-service analyticsPython Development & AutomationDevelop Python-based tools for API integrations, data transformations, and ad-hoc analysis

Employee Applicant Privacy NoticeWho We Are:Join us in shaping a brighter financial future.At SoFi, we are revolutionizing the way individuals engage with personal finance, leveraging innovative, mobile-first technologies to empower millions of members in achieving their financial goals. We pride ourselves on being at the forefront of an unprecedented transformation in the financial services sector. Our core values guide our actions every day, and we invite you to invest in your career and the financial landscape with us.SoFi is looking for a dynamic and skilled Staff Software Engineer to join our Data Platform team within the Data Enablement division. Our mission is to harness data across SoFi, facilitating the development of personalized and engaging experiences for our customers.As a Staff Software Engineer, you will play a pivotal role in realizing our vision and strategy by developing foundational data platform products that are extensively utilized across SoFi for analytics, reporting, and AI/ML applications. Your work will empower teams to conduct self-service analytics, derive insights, and enhance data-driven decision-making across all SoFi products.About the Role:We are seeking a talented, enthusiastic, detail-oriented Software Engineer with a proven history of tackling significant challenges in an agile environment.You will be at the core of SoFi’s data platform, acting as a leader and force multiplier for key initiatives involving Semantic Layer, BI analytics, AI use cases, and operational enhancements, thereby expanding team knowledge.As a subject matter expert, you will leverage data platform capabilities across SoFi for analytical, reporting, and ML/AI self-service applications.This role requires collaboration at the intersection of data and software engineering, working closely with Product, Design, and Engineering teams throughout the entire product lifecycle, from ideation to deployment and continuous improvement.The ideal candidate is proactive, hands-on, and possesses a strong sense of ownership and accountability for delivering results.You will mentor team members in best practices for technologies such as Snowflake, Databricks, Airflow, dbt, and AWS.