Build and maintain BigQuery data models using Dataform, following medallion architecture patterns.
Build robust Python data pipelines with testing, linting, and CI/CD integration.
Support Data Scientists in moving work from notebook to production pipeline.
Kitman Labs is a performance intelligence company disrupting the sports industry by using data to unlock athlete potential. Their team of top data scientists, performance scientists, and engineers serves over 2000 teams in 50 leagues globally, fostering an innovative and world-class culture.
Prepare clean, documented datasets as a product for AI agents and self-service analytics.
Promova redefines language education for the AI-powered era, making learning accessible and personal worldwide. With over 150 teammates, they blend AI innovation with human creativity to connect people and bridge cultures.
Own data end to end, from raw source to analysis that drives decisions for growth, finance, and product.
Build and operate pipelines in BigQuery with Airflow, model in dbt, and deliver analysis in Hex.
Work AI-first, using modern tooling to move faster while staying accountable for production output.
Supabase provides a complete backend platform including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search, built by developers for developers. With 280+ team members across 55+ countries and $500M raised, they are open-source-first and globally distributed.
Build and maintain data models and transformations powering reporting in the Skimmer product using Fivetran, dbt, and Sigma Computing.
Manage and extend data ingestion across growing sources, develop transformations in Python and SQL against Snowflake.
Partner with product and engineering to turn customer needs into reliable, performant reporting experiences.
Skimmer builds a product that helps pool professionals understand and grow their businesses through data models and customer-facing reports. The company has a strong culture with a very high eNPS, emphasizing hard work, celebrating wins, and continuous improvement.
Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI.
Build and optimize ETL pipelines using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems.
Ensure data governance, lineage, and compliance across supply chain datasets while continuously optimizing query performance and pipeline reliability.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With over 36 years of legacy, Innodata delivers high-quality data and outstanding outcomes for generative AI builders and adopters.
Own the transformation layer, including design, build, and maintenance of complex dbt models for internal and customer analytics.
Manage and monitor data ingestion pipelines to ensure high availability and low latency.
Optimise cloud data warehouse performance and build automated testing frameworks to proactively catch data issues.
i6 provides the world’s most advanced end-to-end aviation fuel management technology, enabling operational efficiency, transparency, and sustainability for airlines and fuel suppliers. They are a remote-first company with offices in the UK and recently raised Series B funding.
Assist in building and maintaining data models in Google BigQuery.
Partner with analysts and stakeholders to translate reporting needs into structured tables and Looker dashboards.
Ensure data integrity with validation queries and monitor Python-based Airflow DAGs for pipeline reliability.
Babel Street delivers advanced AI and data analytics solutions for identity intelligence and risk operations, serving government and commercial organizations. The company has offices in the US, Australia, Canada, Israel, Japan, and the UK, with a culture focused on safeguarding lives and protecting critical assets.
Build and maintain dbt models and core datasets supporting Accounting reporting and downstream automation.
Improve platform reliability through testing patterns, alerting, and runbooks.
Own and document data pipelines and lineage, ensuring changes are understandable and auditable.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. The company is remote-first with a focus on people-centric culture and competitive benefits.
Design, configure, and maintain AI agent workflows using Cursor and Claude Code for automated data system architecture.
Build and maintain a RAW → Base → Data Marts pipeline using dbt Core and implement business logic at the transformation layer.
Build comprehensive test suites using Great Expectations and ensure data quality through manual inspection and automation.
BiOptimizers helps people go from baseline health to peak biological performance with science-backed supplements and wellness tools. As a remote-first company, their globally distributed team focuses on clarity, autonomy, and operational excellence.
Design and own the data foundations that power decision-making across product squads, customer success, marketing, and external stakeholders.
Build and maintain scalable semantic layers and self-service analytics systems enabling non-technical stakeholders to access trusted insights.
Partner with product squads to translate operational and product challenges into production-ready data pipelines and analytics assets.
Our partner company is building a fast-scaling product and data ecosystem where analytics is a product itself, supporting healthcare innovation. It is a mission-driven organization offering a remote-first work model with a Paris office and a collaborative culture.
Design and build critical data infrastructure to onboard a new marketing mix modeling and incrementality testing vendor.
Translate external vendor schema into a production-ready data mart, bridging internal DTC data with external ingestion.
Manage full merge request workflow using GitLab, adhering to strict peer review processes before deployment.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions to companies of all sizes. The team of 600+ highly skilled tech professionals based in Latin America drives digital disruption by partnering with U.S. companies on impactful projects.
Design, build, and operate data pipelines processing terabytes of transactional data daily using Airflow, BigQuery, and GCP services.
Own end-to-end data models and transformations powering merchant analytics, operational reporting, and ML features.
Improve data quality, lineage, and observability through testing, alerting, and validation frameworks.
Narvar is building the data infrastructure behind the post-purchase experiences of hundreds of millions of consumers, powering analytics, ML, and merchant-facing products for over 1,500 brand partners. The company serves 125+ million consumers worldwide across 38 countries and 55 languages, fostering a culture of innovation, collaboration, and inclusivity.
Design and build end-to-end data solutions for Core products, including data ingestion, modeling, and semantic layer development.
Develop and maintain analytics-ready data platforms using Snowflake, dbt, and Looker, supporting provider sales and operational metrics.
Mentor junior team members and champion data governance practices to ensure data quality and consistency.
PatientPoint is a digital health company that transforms healthcare by delivering behavior-changing content at critical moments of care. It is the nation's largest digital network in 30,000 physician offices, with a purpose-driven and collaborative culture.
Design, implement, and maintain ETL/ELT pipelines for clean, scalable data flows across multiple systems.
Own data warehouse architecture, including partitioning, access controls, and security in partnership with Security and Infrastructure teams.
Champion data quality and governance, building dashboards and analytics to deliver actionable insights for leadership and cross-functional teams.
CertifID protects life's largest transactions from fraud, helping title companies, law firms, lenders, and consumers safeguard billions of dollars from wire fraud daily. They are a growth-minded team passionate about securing sensitive data and transforming fraud prevention.
Own dbt and the semantic layer that defines how Fora measures its business in code.
Partner closely with the VP of Data & AI, Data Engineering, and Risk & Analytics.
Shape how a $4B+ originator understands its business through data modeling decisions.
Fora Financial is a technology-enabled provider of flexible financing to small and medium-sized businesses. The company has grown to nearly 200 employees and values a collaborative, partner-centric culture.
Build and operate production-grade ingestion pipelines from clinical, operational, and third-party systems into a Databricks lakehouse.
Develop and maintain dbt models to transform raw data into clean, documented, analytics-ready datasets.
Establish data quality, testing, and monitoring practices to ensure pipeline reliability and performance.
Zócalo Health is a tech-enabled, community-oriented primary care organization serving underserved populations with culturally competent care. Founded in 2021, the company is backed by leading healthcare investors and is scaling rapidly with a focus on value-based care.
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.
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.
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.
Support building robust pipelines and data models downstream of backend services (mostly in BigQuery) supporting internal reporting, machine learning, and financial use cases.
Optimize the Data Warehouse, spotting and raising opportunities to reduce complexity and cost.
Help define and manage best practices for the Data Warehouse, including payload design, logical modelling, metadata, and testing standards.
Monzo is a digital bank on a mission to make money work for everyone, offering personal, business, joint, kids accounts, savings, investments, and pensions. They have grown significantly over the last decade and are known for award-winning customer service and innovative products.