Software Engineer - Data Platform

Job Overview Lola Blankets is an innovative and rapidly expanding direct-to-consumer brand, renowned for producing some of the most beloved blankets on the internet. Our cutting-edge, open-source data stack—utilizing tools like dbt, Dagster, and Lightdash—facilitates crucial decision-making processes, ensuring our data remains reliable, fast, and actionable. We are seeking a passionate Data Platform Engineer who will bridge the gap between data and engineering. In this role, you will take ownership of our analytics platform foundation while also contributing to the broader engineering roadmap across product development, operations, and integrations. On the data side, you will collaborate with our Analytics Lead to oversee data ingestion, transformation, orchestration, and the semantic layer. If a dashboard's data seems off, you'll diligently trace it through Lightdash, dbt, and pipelines to identify and rectify the issue. From the engineering perspective, you will partner with our Technology & Engineering Lead to work on integrations, event pipelines, and platform infrastructure, applying a DevOps mindset to maintain environments, deployments, and production reliability. We pride ourselves on being a lean, builders’ team: open-source-oriented, agile, and opinionated. Your strong judgment and execution capabilities will be essential in this dynamic environment.

PrizePicks is looking for a Data Platform Engineer to join the team. This position centers on building and maintaining the company's core data infrastructure. Ensuring that data moves reliably and remains accessible throughout the organization is a key part of the job. Role overview Work involves supporting the systems that handle data flow and storage. The engineer will collaborate closely with colleagues from a range of disciplines to make sure data needs are met across different teams. Location The team prefers candidates based in Atlanta, GA, but remote applicants will also be considered.

Experian is seeking a Senior Data Platform Engineer to join the team in a fully remote capacity within the United States. This position centers on building and enhancing data platforms that drive data-informed decisions throughout the company. Key Responsibilities Design and develop scalable data platforms that align with business objectives. Collaborate with cross-functional teams to strengthen data infrastructure. Adjust and evolve systems as business needs change. Remote Work This opportunity is open to candidates located anywhere in the United States. The role is fully remote.

Role Overview trueml is hiring an Engineering Manager for the Data Platform team. This is a fully remote position open to candidates based in the USA. What You Will Do Lead and mentor a team of data engineers Guide the development and improvement of data systems Oversee data architecture and performance optimization Drive strategic projects for the data platform Work closely with other teams to deliver strong data solutions About the Team The Data Platform team at trueml builds and maintains systems that support data-driven decisions across the company.

Join Worth AI, a trailblazer in the computer software sector, as a Data Platform Engineer. Our mission is to transform decision-making through cutting-edge artificial intelligence, fostering collaboration and adaptability to create a significant impact in the tech realm. At Worth AI, we emphasize extreme ownership, unity, and the creation of passionate advocates among both our employees and customers.In this role, you will be responsible for designing, building, and maintaining the core data services that drive our products and analytics. You will manage end-to-end data pipelines and API services that gather, process, and deliver high-quality data to internal teams (such as data science, analytics, and product engineering) and external partners.You will be part of a dynamic, high-impact team that treats our data platform as if it were a product, ensuring strong SLAs and providing reliable self-service capabilities for both internal and external users.

About Reach Security:At Reach Security (reach.security), we are pioneering the future of cybersecurity with our innovative self-driving technology. Our platform employs cutting-edge generative AI to enhance your organization's existing security stack, striving to achieve an unparalleled security posture using the tools you already have.About the Role:We are on the lookout for talented Data Platform Engineers at various experience levels to design, develop, and manage the infrastructure that drives our powerful data pipelines and analytic query engines. You will be instrumental in crafting scalable, high-performance solutions utilizing technologies such as Trino (Presto), Redshift, BigQuery, Apache Iceberg, and other advanced columnar technologies that facilitate sophisticated analytics and reporting.The ideal candidate is a proactive problem solver focused on delivering high-quality solutions and adept at navigating complex challenges. As an early team member, you will take ownership of numerous backend components from day one. Your contributions will be vital in establishing engineering best practices, aligning engineering initiatives with business objectives, and discovering innovative techniques to provide exceptional value to our users. You will leverage your engineering expertise to create superior architectures, offer constructive feedback on technical designs, tackle complex problems, and conduct meticulous code reviews to ensure that our software remains maintainable and reliable.Your Responsibilities:Design, build, and maintain a scalable and dependable data platform infrastructure.Optimize analytic query engines utilizing technologies like Trino (Presto), Redshift, and BigQuery.Develop and support robust data management solutions using Apache Iceberg.Work collaboratively with Data Engineering and Analytics teams to ensure seamless integration, schema detection, and evolution.Create and maintain observability frameworks for monitoring and troubleshooting data pipelines and platform performance.Apply best practices for data modeling, schema design, and pipeline fan-out strategies.Guarantee data integrity, quality, and consistency across Medallion architectures, star schemas, and Lakehouse environments.Proactively identify opportunities to improve platform scalability, efficiency, and reliability.Qualifications:The candidate should have at least 3 years of experience in software engineering or a related field, showcasing proficiency in data platform technologies and practices.

Role overview Upstart Network, Inc. is hiring a Senior Data Platform Engineer to help build and refine the company’s data architecture. This fully remote position is open to candidates based in the United States. What you will do Work closely with teams across the company to design and improve data platform capabilities Develop solutions that support efficient data processing and analytics workflows Contribute to high-performance, scalable data infrastructure that supports business growth Support data-driven decision-making by ensuring reliable and accessible data systems Who we’re looking for Experience building and maintaining data platforms or large-scale data systems Strong collaboration skills and comfort working with cross-functional teams Proactive, self-motivated approach to solving technical challenges Interest in both data and technology, with a drive to make a measurable impact Work environment This is a remote role within the United States. Upstart values initiative and teamwork in a setting where priorities can shift quickly.

About UsSamsara (NYSE: IOT) is at the forefront of the Connected Operations™ Cloud, empowering organizations reliant on physical operations to harness IoT data for actionable insights and operational enhancements. Our mission is to improve the safety, efficiency, and sustainability of critical industries that contribute over 40% of the global GDP, such as agriculture, construction, field services, transportation, and manufacturing. Join us as we digitally transform these vital operations on a global scale.At Samsara, you will have the opportunity to influence the future of physical operations and collaborate with a dynamic team on innovative product solutions, including Video-Based Safety, Vehicle Telematics, Applications, and Driver Workflows, as well as Equipment Monitoring. As a recently public company, we offer you the autonomy and support needed to make a significant impact as we build for the future.Role OverviewThe Integrations, Data Engineering and AI (IDEA) team within Samsara’s Business Technology organization is seeking a Senior Data Platform Engineer. This role will enable various teams at Samsara to utilize GenAI and data effectively, fostering data-driven decision-making through the delivery of a robust data platform and reliable analytics. Our team is passionate about leveraging quality data and AI to enhance customer experiences, and we promote an agile, collaborative work environment that values diverse perspectives, innovative design, and experimentation.Note: This position is open to candidates residing in the US, excluding the San Francisco Bay Area and New York Metro Area.

Join us at Reflow, a cutting-edge workforce and workflow intelligence platform designed to empower teams with profound insights into their work processes. As we continue to expand, the complexity and richness of our data grow, and we are on the lookout for a skilled Full-Stack Data Platform Engineer to architect and manage the systems that convert this data into actionable intelligence, driving analytics, workflow insights, and economic modeling.Key ResponsibilitiesDesign, implement, and maintain a robust and scalable data warehouse using platforms such as BigQuery, Snowflake, or Redshift.Develop and enhance ETL pipelines for efficient data ingestion from APIs and internal systems.Model and manage datasets to facilitate dynamic analytics and product features.Collaborate with the engineering team to optimize data mining and analytics performance.Create and maintain dashboards and visualization tools (e.g., Metabase, Tableau, Power BI) for internal and external reporting.Ensure data reliability, cost efficiency, and performance optimization across various environments.Implement event-driven pipelines for real-time analytics and reporting.Contribute to best practices in data governance, privacy, and security.Who You AreProficient in data warehouse architecture and scalable analytics infrastructure.Strong command of SQL, data modeling, and optimizing pipeline performance.Hands-on experience with ETL tools, data ingestion frameworks, and cloud-based data operations.Able to balance technical depth with real-world application—creating systems that are user-friendly.Comfortable navigating the trade-offs between cost, scalability, and complexity.Curious about the translation of data into insights, decisions, and automation.Preferred QualificationsExperience with Python for analytics and data manipulation.Familiarity with AI/ML-driven analytics or predictive modeling.Knowledge of real-time or streaming data architectures.Understanding of data governance, compliance, and secure cloud operations.Why You Should Join UsBe part of a transformative journey at Reflow, where you will have the opportunity to shape the future of workforce intelligence and analytics.

Join our dynamic team at Multimedia LLC as an Engineering Manager for our Data Platform. In this remote role, you will lead innovative projects that leverage cutting-edge technology to enhance our data infrastructure. You will collaborate with cross-functional teams to design scalable solutions that drive business success and improve data accessibility.Your leadership will foster a culture of continuous improvement, guiding your team in implementing best practices and ensuring high standards of quality in software development. We are looking for a visionary who is passionate about data engineering and is eager to make an impact in a fast-paced environment.

Jobgether is looking for a Staff Data Engineer to join the Platform Engineering team. This position centers on designing and building data processing systems that support the company’s growth. Role overview The Staff Data Engineer will take the lead in developing systems that handle large volumes of data. The main goal is to improve scalability and performance throughout the Jobgether platform. This work is essential to ensure that data flows efficiently and reliably as the business expands. Collaboration Expect to work closely with teams from different areas of the company. The role involves implementing data-driven solutions that help shape key business outcomes and support decision-making across Jobgether. Key focus areas Design and develop data processing systems Enhance platform scalability and performance Collaborate with cross-functional teams to deliver impactful solutions

Join our innovative team at Caribou as an Engineering Manager focused on Data and Platform Engineering. In this pivotal role, you will lead a talented team of engineers, driving the development of robust data platforms and engineering solutions that propel our business forward. You will collaborate with cross-functional teams to ensure the successful delivery of high-quality products and services that meet the evolving needs of our customers.

Role Overview Zocdoc is looking for a Staff Data Platform Engineer to help build and maintain the foundation of our data systems. This role can be based in Silicon Valley, CA or fully remote within the United States. What You Will Do Design and implement scalable data infrastructure to support a range of business needs. Collaborate with engineering, analytics, and product teams to deliver reliable data solutions. Ensure data is accurate, accessible, and secure for teams across the company. Support the development of insights that improve our healthcare platform.

M9 Solutions is committed to delivering exceptional IT services and solutions to the Federal Government. By mobilizing the right talent, skills, clearance levels, and technologies, we aid organizations striving for enhanced performance and sustainable change. Having successfully supported over 30 Federal Agencies and various commercial clients across the nation, M9 Solutions excels in digital transformation, software development, cloud migration, applications & infrastructure, cybersecurity, data delivery & analytics, and IT talent solutions.M9 Solutions is currently searching for a Field Data Platform Engineer to join our remote team in support of a government contract for a client in Washington, DC. An active Secret clearance is mandatory for this position.Key ResponsibilitiesConfigure and ensure the reliability of data feeds from source systems into a data platform.Manage data connections, pipelines, and synchronization between source systems and data assets.Design and implement data transformations and derived datasets using both code-based and code-less tooling available on the platform, including Spark-based transformations and Contour.Model operational data, defining objects, relationships, and actions that accurately reflect real-world entities and workflows.Develop applications (e.g., Workshop, Slate, Object Explorer, and other Ontology-backed apps) to address specific operational inquiries.Utilize AI-driven capabilities to automate workflows, uncover insights, and assist in user decision-making.Oversee build pipelines and Ontology-backed applications, diagnose failures or performance issues, and drive necessary fixes across the stack.Collaborate with subject matter experts in an iterative process to prototype, test, and refine data-driven applications and workflows.Engage with central platform/product teams to troubleshoot complex issues, grasp platform behavior, and contribute field insights to product development.

Apptronik seeks a Data Platform Engineer to shape and enhance the data architecture supporting our robotics products. This role involves close collaboration with teams across the company to ensure our data systems are robust and effective. Key responsibilities Design and build data systems that power robotic technologies Collaborate with engineers and other groups to align data architecture with project requirements Improve data pipelines and infrastructure for better performance and reliability Work location This position is based in Austin, TX.

About Dataiku Dataiku provides a platform for building, deploying, and managing AI and analytics at scale. The company helps organizations design and operate analytics, machine learning, and AI agents with transparency and control. Dataiku connects the enterprise AI stack, supporting centralized governance and multi-vendor environments. Learn more on the Dataiku blog, LinkedIn, X, and YouTube. Role Overview Dataiku is hiring a Data Engineer II for the Enterprise Data and Analytics (EDA) team. This role focuses on delivering reliable data to drive analytics, AI, and insights for teams across the company. The Data Engineer II will play a central part in supporting the Data Platform, which serves centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users. What You Will Do Contribute technical expertise to the Data Platform, working with Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL, with DataOps processes integrated into GitHub Actions and Dataiku. Collaborate with engineers from other teams to deliver solutions across various technical domains. Promote engineering best practices within the EDA team and the broader Analytics Community. Support analytics and AI initiatives for a wide range of stakeholders. What We Look For Experience with Snowflake, Dataiku, GitHub, Python, and SQL. Understanding of the software development lifecycle and DataOps methodologies. Strong collaboration skills and the ability to work across teams. Clear verbal and written communication. Analytical mindset and curiosity. Locations This position is open to candidates in the Netherlands (remote), Spain (remote), United Kingdom (remote), and the following US cities: Atlanta, Boston, Charlotte, Chicago, Cincinnati, Miami, Milwaukee, Minneapolis, Philadelphia, Raleigh, St. Louis, and Tampa.

Kraken is a remote-first company specializing in cryptocurrency and blockchain technology. With operations in more than 70 countries and a team fluent in over 50 languages, Kraken works to broaden access to digital assets and create more inclusive financial systems. Kraken’s products serve a wide range of users, from experienced traders and institutions to those new to crypto. The company places a strong emphasis on security, education, and responsive client support. Platforms include Kraken Pro, Desktop, Wallet, and Kraken Futures. For more on their approach, see details about security, education, and client support. Role overview The Data Platform Engineering Manager position is fully remote within the United States. This role leads engineering efforts that drive Kraken’s data platforms and infrastructure, joining a team focused on shaping the future of crypto technology. The manager will guide technical direction, foster innovation, and support the team’s growth as they build and maintain secure, scalable systems. Who thrives in this role Engineers who take pride in building secure and reliable systems Leaders who prioritize collaboration across diverse, global teams Individuals interested in tackling the challenges of scaling data platforms in a rapidly changing industry Learn more Explore Kraken’s values and team culture on the Kraken Culture page. For a step-by-step guide to getting started with the platform, visit the account creation instructions here.

In the U.S., the healthcare system is a leading cause of personal bankruptcy. Annually, over 50 million Americans face adverse financial impacts from seeking care, leading to lower credit scores and garnished wages. This issue is escalating as high-deductible health plans become increasingly prevalent.Cedar's mission is to harness data science and innovative product design to enhance the affordability and accessibility of healthcare. Unlike traditional healthcare providers who often engage consumers with a generic approach, Cedar aims to deliver a tailored experience by integrating best consumer practices.The RoleThe Data & Integration Platforms team at Cedar is responsible for building the data infrastructure, pipelines, and tools that fuel our products, analytics, and financial operations. We are in search of a Senior Data Engineer to help transition our data ecosystem from custom ETL scripts to a modern, scalable stack utilizing tools such as dbt, Airflow, and Snowflake.In this pivotal role, you will design and manage critical data pipelines (such as client billing, product analytics, and platform data services), enhance data quality and observability, and establish patterns and standards for Cedar's data product development. This position offers significant autonomy and technical ownership, along with cross-functional collaboration opportunities.

Role overview Trulioo seeks a Data Platform Engineer based in San Diego. This position centers on enhancing and maintaining the data infrastructure that powers global identity verification services. Key responsibilities Collaborate with teams throughout the company to design and implement scalable data solutions. Maintain and refine data processing pipelines, focusing on reliability and efficiency. Help uphold the quality and integrity of data relied on by various stakeholders. Impact Work in this role directly supports Trulioo's ability to deliver accurate, high-quality data for identity verification around the world.