Design and maintain production-grade ETL/ELT pipelines in a multi-hundred terabyte Snowflake environment.
Translate client loyalty program requirements into dimensional models and platform tables.
Build reliable, event-driven data architecture to support AI-powered loyalty products.
Kobie is a leader in loyalty solutions, helping brands build lasting emotional connections with consumers. Named a Top Workplace in the USA, the company fosters a collaborative, growth-focused culture with a diverse suite of benefits and flexible work arrangements.
Partner with the Director of Data to translate platform vision into engineering execution.
Lead the design and implementation of Kimball-style dimensional models and star schema architectures.
Design, build, and maintain production-grade data pipelines with a focus on reliability and scalability.
BlueLabs is an analytics services and technology company that helps organizations use data for social and commercial impact. With over 400 clients and a diverse team of analysts, scientists, engineers, and strategists, they foster a supportive, collaborative, and mission-driven culture.
Build and optimize scalable data pipelines using Python and dbt.
Design and maintain Snowflake warehouse structures, database tables, and performant data models.
Develop reliable ETL/ELT workflows for extracting, transforming, loading, and validating data from multiple sources.
We are seeking a Senior Data Engineer to support core marketplace analytics data products and platform work. Enterprise experience is strongly preferred.
Lead the design and evolution of the data platform architecture, establishing patterns and standards the team builds on.
Build and operate production-grade data pipelines that ingest and transform high-variance, real-world clinical data reliably and at scale.
Contribute to quarterly data product releases, working closely with product, clinical, and customer success teams to meet commitments.
Verantos is the market leader in high-accuracy real-world evidence (RWE) generation. The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for regulatory and reimbursement use, serving some of the largest biopharma companies globally.
Build, maintain, and scale data pipelines integrating internal and external data into the warehouse.
Partner with internal stakeholders and engineering teams to understand analysis needs and improve data logging.
Participate in architectural decisions and evangelize data engineering best practices.
OXIO is the world’s first telecom-as-a-service platform, democratizing telecom for brands and enterprises to own proprietary mobile networks. The company is a rapidly growing startup with a diverse and inclusive team.
Architect and optimize Snowflake architecture for enterprise scalability and future data product commercialization.
Drive agentic engineering using tools like Snowflake Cortex, Cursor, and UiPath to automate workflows and deploy AI agents.
Establish data observability frameworks and operationalize MLOps pipelines for robust ML model lifecycle management.
Versapay automates accounts receivable, removing barriers to collecting and reconciling B2B payments. With over 10,000 customers and 5M+ companies transacting on the platform, they process over 110M transactions and $257B annually.
Architect and lead the design of data systems serving both operational business stakeholders and product/engineering teams.
Extend internal AI platform and bring software engineering rigor to data work including testing, CI/CD, and code review.
Build and own data models, partner with product engineering, and mentor teammates to raise the technical bar.
ZipRecruiter is a leading online employment marketplace powered by AI-driven intelligent matching technology. The company has the #1 rated job search app on iOS & Android and connects job seekers with millions of businesses.
Own and maintain data pipeline architectures, ensuring reliability and monitoring.
Manage and evolve data modeling environments for analysts and engineers.
Implement observability for data systems, detecting issues early and continuously monitoring data quality.
Voltus unlocks the full value of distributed energy resources for customers and the grid. They are a fast-growing climate-tech company with a bright, gritty, and good team that values innovation, impact, and integrity.
Lead design and ownership of scalable data pipelines using SQL, Python, dbt, and cloud-native tools on Snowflake.
Architect and optimize Snowflake environments, including cost governance, performance tuning, and cloud integration.
Enforce data governance frameworks, security protocols, and data quality standards across the platform.
BlueCloud is a Snowflake Elite Partner and 2026 CoCo Catalyst Partner of the Year, helping enterprises migrate to AI-ready Snowflake platforms. With 450+ consultants and 200+ transformations, they deliver data solutions 40–50% faster across multiple industries.
Deliver high impact code to create pipelines, visualizations, and dashboards that enable informed decision-making at scale.
Operate as a senior technical expert in data and analytics engineering, leading architecture discussions and implementing robust, scalable data models.
Collaborate cross-functionally with Product Managers, Engineers, and Business Stakeholders to capture requirements and translate them into technical solutions.
Lovevery is a fast-growing digitally native brand co-founded by successful serial entrepreneurs and based in Boise, Idaho, taking a science-based approach to help parents give their children meaningful development experiences. Named one of Fast Company's 10 most innovative companies of 2024, Lovevery has received awards from TIME, Red Dot, Good Housekeeping and Forbes.
Collaborate with stakeholders to gather reporting and data infrastructure requirements.
Design, build, and maintain automated dashboards and scalable analytics infrastructure.
Develop, optimize, and maintain large-scale ETL pipelines for campaign reporting and analytics.
ItD blends diversity, innovation, and integrity with real business results as a woman- and minority-led firm. They reject any strong hierarchy, empowering them to deliver excellent results and thrive in a dynamic environment with empowerment and recognition.
Lead and manage a global data engineering team building large-scale data pipelines and production datasets for the Public Investor business.
Collaborate with product, research, and operations teams to translate roadmap priorities into scalable technical plans and customer-facing data feeds.
Drive operational excellence through data quality frameworks, observability, and AI-assisted development practices.
YipitData is the leading market research and analytics firm for the disruptive economy, providing actionable insights from alternative data. With over $475M raised and offices globally, it has a people-centric culture recognized as a Best Workplace for three consecutive years.
Own data pipeline development. Build and maintain reliable pipelines that ingest, transform, and deliver healthcare data across the organization.
Design warehouse data models. Create scalable schemas and data structures that support analytics, reporting, and evidence generation.
Lead data transformation strategy. Establish frameworks and standards that improve consistency, maintainability, and performance.
Pivotal Health builds a technology platform to help healthcare providers get paid fairly in complex reimbursement landscapes. The company is a collaborative, low-ego team on a mission to make healthcare reimbursement fairer.
Own and ensure end-to-end reliability of PostgreSQL database systems in a fintech environment.
Design scalable and resilient data infrastructure while optimizing performance and availability.
Collaborate with engineering and product teams to influence data architecture and drive automation.
Jobgether uses AI-powered matching to connect candidates with hiring companies. They focus on efficient, fair review processes and support flexible work arrangements.
Play a crucial role in helping client organizations transform raw data into reliable, well-modeled assets that drive business decisions.
Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform.
Collaborate with data engineers, analysts, and clients on end-to-end data requirements and project delivery.
Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. Our culture is built on a foundation of trust, collaboration, and continued improvement, and we are a remote first company that offers competitive pay and excellent benefits.
Lead a team of data engineers, own the technical roadmap for our cloud data stack (Snowflake, Azure, dbt), and partner closely with stakeholders.
Establish and enforce organization-wide ETL/ELT best practices, naming conventions, and code review standards.
Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, they offer strategic advantages to their clients by offering legal support services at every stage of their legal proceedings.
Design and build ETL processes in collaboration with software and model development teams.
Create and maintain scalable data infrastructure.
Own full pipeline and infrastructure lifecycle including performance monitoring and optimization.
OpenTeams builds AI that empowers, with models that are energy-efficient, cost-effective, and fully yours. They are proponents of open source, reinvesting 3% of profits back into the open-source community and value freedom, teamwork, accountability, and uncompromising quality.
Design, develop, and maintain robust, scalable ETL/ELT data pipelines using Python, SQL, and data processing frameworks.
Implement data quality checks, monitoring, and alerting across all data pipelines to ensure data integrity and reliability.
Work closely with data analysts, data scientists, and business intelligence engineers to understand their data requirements and deliver reliable, high-quality data access.
InStride Health delivers specialty anxiety and OCD care. They focus on expanding access to insurance-based care, increasing engagement, and improving treatment outcomes by combining clinical care and innovative technology. They are a mission-driven company.
Lead industrialization and automation initiatives across development and deployment processes.
Design, maintain, and evolve internal development and deployment tooling around dbt, Airflow, and Snowflake.
Implement monitoring, alerting, and observability capabilities to maximize platform stability and operational efficiency.
Talan is an international advisory group focused on innovation and transformation through technology. They have 5000 employees and a turnover of 600M€, offering services to support organizations' transformation through consulting, data & technology, cloud & application services, and service centers of excellence.
Audit the current state of the three DMP servers and produce a prioritized remediation plan for performance, stability, and maintainability.
Diagnose and resolve accumulated issues: index bloat, missing/redundant indexes, parameter sniffing, lock contention, fragmented statistics, runaway jobs, and storage pressure.
Work with our senior services Architect on our multi-phase long-term platform implementation, translating application and business requirements into scalable and well-thought-out Clickhouse structures.
Linqd powers growth for some of the biggest names in the building products industry, helping them connect with more customers, expand market share, and achieve measurable results. They are a 100% virtual organization built on relationships, accountability, and performance that invests in its people.