Own the data methodology and carry derived data points through development, QA, and production into metrics and categories.
Validate numbers using reconciliation SQL, version-over-version comparisons, and impact analysis before logic changes ship.
Turn feature requests from product and customer teams into delivered analytics by scoping, writing logic, and validating results.
Clarify partners with 60+ health systems to provide healthcare analytics and outcomes by mapping patient journeys and care economics. The company works with 300 million patient journeys and fosters a collaborative, impact-driven culture with a focus on mission and margin alignment.
You will create and implement data and AI governance policies, ensuring alignment with business objectives and regulations like LGPD and GDPR.
You will collaborate with architecture, engineering, legal, and security teams to embed governance practices throughout the data lifecycle.
You will monitor data quality, conduct audits, and drive continuous improvement of governance capabilities across the organization.
The partner company focuses on data and AI governance, ensuring safe, ethical, and compliant use of data across the organization. It offers a fully remote, flexible, and inclusive work environment that values ownership, collaboration, and continuous improvement.
Build and maintain data ingestion and transformation pipelines using Dagster, dbt, and Snowflake through PR-driven development.
Manage production monitoring, backfills, and Airbyte connections to ensure reliable daily data flows.
Collaborate with analytics and product teams on dimensional modeling and data quality, and participate in code review and runbook writing.
PadSplit is at the forefront of solving the affordable housing crisis through its tech-driven platform. They have a growing remote-first team and offer a competitive benefits package including unlimited PTO and paid parental leave.
Analyze, design and develop cutting-edge software for provider data management on a new product.
Work with a global cross-functional team to build cloud-native, large-scale, scalable data pipelines.
Take full ownership of the software development lifecycle, including planning, design, development, test and deployment.
HealthEdge offers AI-powered operational infrastructure for health insurance companies. With strong market momentum and a growing number of health plans choosing them, they are investing in their people to shape the future of healthcare technology.
Lead the overall technical architecture of a graph-based data product, AI services, and developer platform, ensuring scalability, security, and maintainability.
Define the technical direction, align teams across components, and develop the technical roadmap in collaboration with the product team and stakeholders.
Drive the evolution of the data and AI foundation, including knowledge models, data pipelines, and production use of LLMs, RAG, and agentic systems.
Haufe Akademie is a leading provider of professional development solutions in Germany, offering innovative learning technologies and a wide range of formats and topics. As part of the Haufe Group, they are officially certified as a Great Place to Work® and value diversity, tolerance, and fairness.
Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau.
Build and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform, deployed across multiple regions.
Drive work across producer and consumer teams, communicate clearly, and own outcomes end to end.
Horizon3 is a fast-growing cybersecurity company that provides autonomous pentesting and assessment operations via its NodeZero platform. They are a team of former special ops and engineers, committed to a culture of respect, collaboration, ownership, and results.
Build and support batch and real-time data pipelines using Databricks and Azure.
Tune queries over billions of rows and perform root cause analysis for data issues.
Provide consultation and lead implementation of complex data programs with documentation.
Valtech is an experience innovation company that helps brands unlock new value through data, AI, creativity, and technology. They have a global workforce and a culture that fosters creativity, diversity, and autonomy.
Design, build, and productionize ML models for ETA prediction using regression, classification, and time-series forecasting.
Develop NLP/LLM-based extraction pipelines for message-based status updates, including text extraction and entity recognition.
Own models end-to-end from data pipeline to deployment and monitoring, turning noisy logistics data into scalable solutions.
FourKites is the leader in AI-driven supply chain transformation, providing real-time visibility and an Intelligent Control Tower that breaks down enterprise silos. The company processes over 3.2 million supply chain events daily, serving 1,600-plus global brands, and fosters a collaborative culture with a focus on diversity and inclusion.
Develop and maintain our AWS-based data platform for a quickly scaling business.
Build and own our data warehouse and the pipelines that feed it from product, CRM and third-party systems.
Ensure data quality, performance and scalability and own data protection obligations within our pipelines.
OneDome is a UK-based property technology company on a mission to make buying, selling and financing a home simpler and faster. We are a small, quickly scaling company with a distributed team across Ukraine and Azerbaijan.