Migrate data products and analytical workloads from MS SQL Server to a modern cloud data platform.
Build and maintain scalable batch data pipelines and analytical models, reworking legacy SQL and ETL.
Use GCP, Python, and AI-assisted automation to enhance data engineering workflows and data quality.
Social Discovery Group is a group of social discovery companies solving loneliness and disconnection by creating platforms that connect people globally. The international team of digital nomads works remotely, and the company is a two-time 'Great Place to Work' winner.
Design and build data pipelines for ML use cases, implementing data versioning and orchestration.
Deploy data scientists' scripts and models from notebooks to production, managing Python dependencies and CI/CD.
Optimize data processing jobs for performance and cost on distributed systems and cloud data services.
NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together two industry leaders with unparalleled global reach, operating in 100+ markets.
Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold).
Contribute to Looker dashboards and LookML models, working alongside senior engineers and analysts.
Build and maintain robust Python data pipelines with testing, linting, and CI/CD integration.
Kitman Labs is a performance intelligence company that transforms how the sports industry uses data to unlock athlete potential. With over 2000 teams in 50 leagues across 6 continents, the company has assembled a team of top data scientists, sports performance scientists, and product specialists, fostering an innovative and collaborative culture.
Lead end-to-end architecture of scalable Data Lakehouse solutions on GCP using BigQuery, GCS, and Dataplex.
Collaborate with customers to translate business goals into robust architectural blueprints and actionable plans.
Design and implement data pipelines for real-time and batch ingestion with modern orchestration frameworks.
Egen is a data-first technology company that helps clients drive action and impact through data and insights using advanced platforms like Google Cloud and Salesforce. It is a fast-growing, entrepreneurial company with a culture dedicated to learning, innovation, and solving tough problems.
Support and maintain production GCP data platforms, pipelines, and workflows.
Optimize Airflow DAGs and troubleshoot pipeline failures and performance issues.
Collaborate with cross-functional teams on production issues and enhancements.
Innodata is a global data engineering company that enables the responsible advancement of AI by providing data, evaluation frameworks, and human expertise. With a 36+ year legacy, it delivers high-quality data and outcomes for customers.
Lead the development of the data platform supporting clinical operations, payer reporting, and analytics.
Build and orchestrate ingestion pipelines using Mage, Python, and GCP infrastructure as code.
Ensure security and compliance with PHI, HIPAA, and SOC 2 while collaborating cross-functionally.
Protera Health is a musculoskeletal (MSK) specialty care company that partners with health plans, health systems, and employers to deliver coordinated, measurable MSK care. It is a growing multidisciplinary clinical organization with a technology platform, offering a fully remote, mission-driven culture.
Lead a centralized team of data engineers and applied data scientists to build scalable data infrastructure, machine learning systems, and analytics foundations.
Partner with cross-functional leaders to translate business needs into technical solutions, balancing long-term platform investments with immediate priorities.
Champion data quality, governance, observability, and modern engineering practices across the data ecosystem to drive operational efficiency and AI-powered experiences.
Our partner is a technology company that leverages data and AI to enhance user experiences through scalable data infrastructure and machine learning systems. They foster a collaborative, inclusive, and high-performing culture with a remote-first approach and a focus on professional growth.
Lead and coach a team of data engineers and applied data scientists while fostering team health and high performance.
Partner with cross-functional leaders to translate business needs into technical requirements and prioritize initiatives.
Drive the architecture and delivery of scalable data pipelines, ML models, and algorithmic systems for internal and member-facing experiences.
AllTrails is the app for exploring the outdoors, connecting people to their next adventure. It is home to the world's largest outdoor community, with a team that values positivity, innovation, humility, adaptability, inclusivity, and stewardship.
Design and build data models using SQL, Python, DBT, and GCP tools to transform raw data into actionable metrics and data products.
Collaborate with technical and non-technical teams to define key business metrics, collect requirements, and share best practices for data-driven decisions.
Lead data modeling projects, choose appropriate tools, and ensure scalable solutions for petabyte-scale datasets while improving team processes and documentation.
Upsun is a cloud application platform for hybrid teams, combining human and AI capabilities to build and scale software without backend infrastructure. The company is a remote, global workforce with a multicultural team, committed to open source and fostering a curious, innovative culture.
Design, build, and maintain scalable data pipelines for ingestion and transformation.
Work with Python, SQL, Apache Airflow, and Google Cloud Platform.
Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
Our partner is a technology company focused on AI and data solutions. The team values collaboration, innovation, and continuous learning, and offers a remote work environment.