Senior Customer Data Platform Engineer (Snowflake)

About Us: Founded in 2011, Modus Create is a global leader in digital product engineering, comprising a fully remote team of exceptional technologists. We specialize in collaborating with forward-thinking businesses to design, build, and scale custom solutions that deliver measurable results and drive lasting change. Our partnerships with industry giants such as AWS, GitHub, and Atlassian highlight our commitment to innovation. We embraced remote work long before it became a trend! Our recognition as one of the Inc. 5000 Fastest Growing Private Companies for nine consecutive years and being named a top remote work company by FlexJobs exemplifies our ability to help some of the world's largest brands deliver impactful digital experiences. As an award-winning Atlassian partner, we empower organizations to innovate and tackle complex challenges, and we invite talented individuals to join our journey. Opportunity: The Senior Customer Data Platform (CDP) Engineer will be pivotal in our client’s data engineering team, leading the design, implementation, and optimization of scalable data solutions. This role emphasizes building robust data pipelines and curated data models within Snowflake, utilizing event-driven architectures and modern serverless infrastructure on Amazon Web Services, while facilitating seamless integration with Salesforce Data Cloud. In this role, you will ensure high data quality, governance, and secure access, supporting advanced analytics and activation use cases that drive business growth and strategic decision-making. The ideal candidate will possess extensive expertise in event-driven architectures, serverless integration patterns, modern data engineering practices, and exhibit strong analytical thinking and communication skills. This is a fully remote role with collaboration across distributed teams and daily overlap with the US Eastern Time Zone.

About AssistRxAt AssistRx, we are dedicated to revolutionizing the patient experience through innovative technology. Our platform streamlines access to life-saving therapies, connecting patients, healthcare providers, payers, and manufacturers through secure and scalable data-driven solutions. By facilitating better decision-making, we aim to enhance outcomes across the entire healthcare ecosystem.We invite you to join our team if you are passionate about constructing cutting-edge data platforms, engaging with large-scale cloud data systems, and applying data engineering best practices within a regulated healthcare context.Role OverviewWe are actively seeking a Senior Data Engineer to become an integral part of our Cloud Data Platform (CDP | Architecture) team. This position is highly hands-on and centers on the design, construction, and expansion of our modern data platform, with a particular focus on Snowflake and dbt as essential technologies.Your contributions will be pivotal in shaping AssistRx’s enterprise data architecture, as you will be responsible for transformation logic, performance optimization, and the implementation of data modeling patterns that support analytics, reporting, and downstream products across our organization.This is not an entry-level opportunity; we are looking for a candidate who can immediately contribute in a production Snowflake + dbt environment and establish technical standards for the wider data organization.What You’ll DoCloud Data Platform & ArchitectureDesign, build, and optimize Snowflake-centric data architectures to facilitate enterprise analytics, reporting, and operational use cases.Own dbt transformation layers, including model design, testing, documentation, and deployment best practices.Implement scalable data modeling patterns (star schemas, data vault, dimensional models) aligned with business requirements.Data Engineering & PipelinesDevelop and maintain robust data pipelines integrating sources such as Salesforce, application databases, and external client data.Ensure data integrity through validation, testing, monitoring, and observability frameworks.Optimize Snowflake performance and cost through query tuning, warehouse design, and efficient data modeling.Collaboration & EnablementCollaborate closely with Analytics, BI, Product, and Engineering teams to deliver trusted, analytics-ready datasets.Contribute to establishing architectural standards, code reviews, and best practices across the CDP team.Document data flows, models, and platform decisions to support long-term scalability and knowledge sharing.Governance, Security & ComplianceEnsure data pipelines and models adhere to PHI / PII / HIPAA compliance requirements.Support secure access patterns, role-based permissions, and data governance initiatives.

Please note: This position ideally operates on a hybrid schedule in Charlotte, NC (Tuesday-Thursday in-office). Preference will be given to candidates currently residing in Charlotte, NC, or those willing to relocate.About the RoleLendingTree is excited to welcome a Snowflake & Data Platform Operations Engineer to our dynamic Platform Operations team. In this hands-on role, you will play a critical part in automating, scaling, and supporting our cloud-based data ecosystem utilizing Snowflake, as well as AWS and Azure services. Your focus will be on reducing operational overhead through Continuous Integration/Continuous Deployment (CI/CD), implementing robust monitoring solutions, and employing an automation-first engineering approach.Key ResponsibilitiesSnowflake Administration: Oversee environments, manage security policies (RBAC), and conduct performance tuning to optimize costs and query efficiency.Platform Automation: Design and maintain CI/CD pipelines for database deployments using GitLab along with tools such as Liquibase or Red Gate.Cloud Integration: Facilitate integrations between Snowflake and AWS/Azure services, including object storage, messaging, and serverless functions (Lambda/Azure Functions).Pipeline & Streaming Operations: Sustain batch and streaming architectures (Confluent Kafka), troubleshoot ETL/ELT failures, and ensure data observability.Security & Reliability: Implement logging, auditing, and IAM controls; engage in incident response and root cause analysis (RCA).Collaboration: Work closely with Data Engineering and stakeholders to translate business requirements into scalable technical solutions.

Hybrid work environment (3 days in the office, flexible scheduling).About UsAt DoubleVerify, we lead the industry in providing independent marketing measurement software, data, and analytics that validate the quality and efficacy of digital media for major brands and media platforms around the globe. Our solutions ensure media transparency and accountability, delivering the highest quality impressions for optimal advertising performance. Since our inception in 2008, we have empowered countless Fortune 500 companies to maximize their media investments through cutting-edge solutions across the digital landscape. Discover more at www.doubleverify.com.Role OverviewAs a Senior Data Platforms Engineer on our Data Platforms team, you will play a crucial role in enhancing the development experience for both engineering and product teams by creating robust data platforms. You will be responsible for shaping and optimizing our core data services, with a particular emphasis on data warehouse technologies and platforms that facilitate seamless data movement and governance.Our Mission: To enable secure, self-service data at scale across DoubleVerify via a governed platform.Your Responsibilities:As a Senior Data Platforms Engineer, you will oversee the entire lifecycle of essential data platforms, focusing on technologies such as Snowflake, MongoDB, SQL Server, BigQuery, and CloudSQL, as well as data movement tools like Airbyte. Your goal will be to ensure their reliability, scalability, and alignment with our strategic objectives while empowering teams to handle data independently.

Join our innovative team at dev2 as a Senior Snowflake Administrator/Engineer. In this role, you will play a pivotal role in managing and optimizing our Snowflake data warehouse environment. You will work collaboratively with cross-functional teams to enhance data management practices and ensure data integrity and availability.We are looking for a passionate individual who thrives in a fast-paced environment, embraces challenges, and possesses strong problem-solving skills. Your expertise will help us leverage Snowflake's capabilities to drive our data initiatives forward.

About RevenueBase:At RevenueBase, we are transforming the data infrastructure landscape to empower AI agents with reliability over error-prone systems.Our platform delivers consistently updated, verified B2B data that fuels autonomous AI agents and go-to-market workflows.With a remarkable growth trajectory, we've tripled our growth while achieving 100% gross dollar retention and maintaining positive cash flow.We are proud to support AI agents for industry leaders such as Clay, ZoomInfo, and Dun & Bradstreet, and we are at the forefront of developing the next generation of AI-driven GTM tools.Position OverviewWe are in search of a Senior Data & AI Platform Engineer to design and implement internal tools and services that enhance our large-scale data infrastructure. Your main objective will be to create systems that utilize vector embeddings, LLM APIs, and semantic search to extract value from both structured and unstructured data.This is a hands-on role tailored for an engineer who is passionate about building impactful AI-driven tools and deploying them in a dynamic startup environment.Your ResponsibilitiesCraft and develop data-centric tools that function on extensive datasets housed in S3 and Snowflake.Establish pipelines that:Extract targeted columns or datasets from Snowflake.Create vector embeddings using APIs such as OpenAI.Store and manage these embeddings in vector databases like Pinecone.Facilitate semantic search and similarity-based retrieval.Develop enrichment workflows that:Query structured data efficiently.Leverage LLM APIs to produce new derived columns.Write enriched outcomes back into Snowflake.Create reusable internal services and SDKs for embedding generation, prompt orchestration, and data augmentation.Optimize performance and cost-effectiveness across AWS infrastructure.Collaborate closely with product and data teams to translate use cases into scalable engineering solutions.Guarantee the reliability, observability, and maintainability of AI-powered pipelines.Sample ProjectsDevelop a tool to extract a specific Snowflake column, generate embeddings, push to Pinecone, and provide a semantic search API.

About Egen:Egen is a rapidly expanding company driven by a data-centric philosophy. We unite top engineering talent with cutting-edge technology platforms such as Google Cloud and Salesforce, empowering our clients to leverage data and insights for impactful decision-making. Our commitment to fostering a workplace where exceptional individuals can thrive allows them to harness their engineering and technology skills to innovate how data and platforms can positively transform the world. We emphasize continual learning, relish tackling complex challenges, and are dedicated to driving rapid, effective outcomes. If this resonates with you, we invite you to join our team.Interested in discovering more about life at Egen? Explore these resources alongside the job description.-> Meet Egen -> Life at Egen-> Culture and Values at Egen-> Career Development at EgenNOTE: This is a 6-month contract.

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.

Job Title: Snowflake Developer / Data Engineer (1–3 Years Experience)Employment Type: ContractWork Authorization: US Citizen / Green Card / H4 EADLocation: Open to relocate anywhere within the United StatesJob Description:We are seeking a passionate Snowflake Developer / Data Engineer with 1-3 years of dedicated experience in data engineering and cloud-based data platforms. The ideal candidate will possess hands-on experience with Snowflake, SQL, and various data integration tools to enhance our data warehousing and analytics initiatives.Key Responsibilities:Design, develop, and maintain data pipelines and solutions using Snowflake.Craft efficient SQL queries for data extraction, transformation, and loading (ETL/ELT) processes.Work with structured and semi-structured data in the Snowflake environment.Assist with data warehousing and migration projects.Collaborate with data analysts, developers, and business stakeholders to identify and fulfill data requirements.Optimize data performance, query efficiency, and storage utilization in Snowflake.Support data validation, testing, and troubleshooting of data pipelines.Engage with cloud platforms such as AWS, Azure, or GCP (basic knowledge preferred).

Role Overview The Senior Partner Engineer for the Snowflake Alliance acts as the main technical advisor and advocate for the partnership between Sigma Computing and Snowflake. This role works closely with both internal Sigma teams and external contacts at Snowflake to strengthen collaboration and drive joint success. A deep, current understanding of both Sigma and Snowflake products is essential, with an emphasis on how their combined capabilities benefit shared customers. Key Responsibilities Serve as the primary technical point of contact for the Sigma-Snowflake partnership. Advise and guide internal teams and external partners on technical integration and best practices. Enable technical sales by supporting solution development and field team empowerment. Manage critical technical engagements throughout the partnership lifecycle. Contribute to revenue growth and customer satisfaction by highlighting the unique value of the Sigma-Snowflake integration. Location San Francisco, CA

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.

10x Genomics seeks a Senior Data Platform Engineer to join the Data Platform team at its Pleasanton, California headquarters. This position centers on designing and building the Unified Data Platform (UDP), modernizing data infrastructure, and supporting the move to a scalable event-driven architecture. The work will lay the foundation for advanced AI and machine learning, as well as self-service analytics across the company. Key Responsibilities Lead the architectural design and implementation of the Single Source of Truth (SSOT) within the 10x Intelligent Data Ecosystem. Apply advanced software engineering practices to improve the scalability and reliability of data systems. Develop scalable, maintainable ETL and ELT solutions and data systems in a cloud-native environment. Systematically retire legacy middleware, such as Boomi, to reduce technical debt. Work closely with engineering and business partners to expand AI capabilities and make data more accessible through Natural Language Querying (NLQ). What You Will Work On Architect and implement the canonical data layer and event-driven architecture using tools like Apache Iceberg and Kafka for real-time data flow. Design, build, and optimize high-volume, code-first data pipelines (real-time and batch) for systems including Salesforce, Oracle, and Workday. Establish Amazon S3 as the Single Source of Truth, applying Medallion Architecture principles (Silver and Gold layers) and supporting schema evolution. Develop, test, and maintain ELT pipelines and data models in Snowflake, using features such as Snowpipes, Streams, and Stored Procedures. Create the data presentation layer for self-service analytics, including NLQ interfaces integrated with generative AI technologies like Bedrock. Lead technical migrations of critical business domains from legacy systems to the new platform, addressing integration challenges. Define and enforce data governance, quality, and security standards across the Unified Data Platform. Collaborate with the Architecture Review Board to promote modern practices such as serverless computing and Domain-Driven Design. Oversee the full development lifecycle, from prototyping and design through deployment, monitoring, and operational excellence.

Join FloQast as a Senior Staff Engineer, Data, and become an integral part of our technical leadership team. In this role, you will spearhead the design, implementation, and continuous enhancement of FloQast’s core data platform. You will set the standards for data ingestion, governance, storage, processing, and access that empower our product and analytics systems. Your contributions will establish a robust, scalable, and secure data foundation that enables our engineering, product, and business operations teams to thrive.Note: Visa sponsorship is not available at this time.

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.

We are seeking a highly skilled Manager of Data Engineering to lead our data engineering projects at dev2. This is a unique opportunity to work in a hybrid environment where you can collaborate with a talented team while having the flexibility to work remotely. You will be responsible for designing, building, and maintaining our data architecture using technologies such as Python, AWS, Airflow, and Snowflake. Your leadership will guide the successful execution of data strategies and ensure the availability of high-quality data for analysis and decision making.

dev2 is seeking an experienced and innovative Data Engineering Manager to lead our data engineering team in a hybrid work environment. In this role, you will be responsible for overseeing the design, development, and implementation of scalable data pipelines and architecture using technologies such as Python, AWS, Airflow, and Snowflake. Your leadership will drive the data strategy and empower the team to enhance data availability and quality.

Join dev2 as a Manager of Data Engineering, where you will lead a talented team in designing and implementing data solutions using cutting-edge technologies such as Python, AWS, Airflow, and Snowflake. This hybrid role allows you to enjoy a flexible work environment while collaborating closely with stakeholders to drive data initiatives that enhance business operations.Your expertise will help shape data strategies that promote efficiency and innovation within our organization. If you're passionate about data engineering and leadership, we want to hear from you!

At Genius Sports, we are pioneering a new era in sports engagement by combining advanced technology with the highest quality live data. Our goal is to create immersive, interactive, and personalized experiences for sports fans around the globe. Learn more about us here. geniussports.com.Position Overview - Senior Software Engineer, Data PlatformWe are seeking a Senior Data Platform Engineer to architect and scale the core systems that underpin our data ecosystem. In this pivotal role, you will lead the design and modernization of our data infrastructure, empowering teams throughout the organization to swiftly, reliably, and securely access and utilize data. You will spearhead significant platform initiatives from inception to production, carefully navigate architectural decisions, and closely collaborate with product teams and cross-functional stakeholders to drive engineering strategy.This role is perfect for a technically adept leader with extensive experience in distributed systems, modern data lakehouse and streaming architectures, and large-scale data operations. A strong passion for mentorship, technical excellence, and creating systems that yield substantial business impact is essential.Key ResponsibilitiesDesign, construct, and oversee the foundational systems and features of the Data Platform, facilitating internal teams' ability to access and utilize data efficiently and securely.Lead the modernization of our data infrastructure while managing technical complexities and making informed architectural decisions to enhance our foundation and boost organizational productivity.Act as a technical leader for extensive Data Platform initiatives, influencing architectural choices and engineering direction in collaboration with product and cross-functional teams.Mentor junior and mid-level engineers, enhancing their skills and preparing them for greater responsibilities.Stay informed on emerging technologies and industry advancements in data systems and platform development.

Are you ready to make a significant impact in the world of data engineering?West Monroe is seeking a talented Senior Data Engineer to join our dynamic team. In this pivotal role, you will collaborate with clients to address their technology challenges, leveraging your expertise in Databricks and/or Snowflake. This is an exciting opportunity to contribute to our Technology and Experience practice and project teams, driving meaningful outcomes for our clients through innovative data engineering and cloud solutions.

Join our dynamic team at haus as a Senior Software Engineer specializing in Data Platforms. In this pivotal role, you will be at the forefront of developing and optimizing our data infrastructure, enabling us to harness the power of data-driven insights. As part of a forward-thinking company, you will collaborate with cross-functional teams to design, implement, and maintain robust data solutions that support our strategic goals.