Design, develop, and maintain scalable data pipelines and ETL/ELT processes using cloud-native technologies.
Support implementation of modern data platforms, data lakes, and warehouses, while ensuring data quality and performance.
Collaborate with cross-functional teams and clients to translate business needs into technical data solutions.
FormativGroup operates within the critical middle layer of business technology, connecting applications and systems to infrastructure and business processes. They are experts helping the middle market with cloud architecture, system integration, AI, and data strategy, and are growing with a collaborative culture.
Apply machine learning and AI to analyze large datasets and improve user experiences for new and returning users.
Lead data projects, providing insights and recommendations for data-driven decisions that drive recommendation systems.
Collaborate with cross-functional teams to build pipelines, tools, and evaluate experimental designs for business impact.
Tubi is a free streaming service that offers Hollywood movies, TV shows, and original content, entertaining over 100 million monthly active users. Headquartered in San Francisco and founded in 2014, it is part of Tubi Media Group, a division of Fox Corporation, with a culture focused on innovation and inclusivity.
Lead the analytical strategy to improve member and provider experiences within Spring Practice, leveraging AI and predictive modeling.
Drive rapid experimentation with a focus on quasi-experimental methods, validate improvements, and provide clear recommendations.
Act as an embedded technical leader, partnering with product and design teams to define success metrics and ensure data-driven decision-making.
Spring Health is a global mental health company on a mission to eliminate every barrier to mental health, offering an AI-native platform for personalized care. The company reaches over 170 million people worldwide and fosters a culture of innovation, inclusivity, and data-driven collaboration.
Design, develop, and deploy advanced machine learning and statistical models that optimize the global supply chain, including demand forecasting and supplier risk modeling.
Own the full ML stack from modeling and MLOps to deployment and monitoring, building production systems that drive real business decisions.
Partner cross-functionally with teams in Planning, Procurement, Fulfillment, Finance, Sales, Engineering, and executive leadership to align on data requirements and drive adoption.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations that depend on physical operations to harness IoT data for actionable insights and improved efficiency. As a recently public company, Samsara fosters a culture of ownership and long-term impact, with a flexible remote model and comprehensive benefits for its diverse team.
Lead the design, development, and optimization of scalable ETL/ELT pipelines and the Snowflake data warehouse.
Establish engineering standards for code quality, testing, and deployment while mentoring team members.
Partner with stakeholders to translate data needs into a prioritized roadmap and deliver trusted data solutions.
Magna Legal Services is a trusted nationwide partner delivering comprehensive legal support to law firms, corporations, insurance carriers, and government agencies. The company fosters a culture where talented people can do meaningful work and grow their careers.
Collaborates with researchers and cross-functional teams to design and deliver scalable data solutions on Azure Fabric.
Develops and maintains data pipelines, ETL/ELT processes, and ensures data quality and HIPAA compliance.
Evaluates emerging technologies and creates technical documentation for complex datasets and workflows.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community, offering a collaborative and inclusive culture.
Design scalable cloud-native data architectures on Databricks or MS Fabric.
Implement data models, schemas, and storage patterns like lakehouse, Delta, and Parquet.
Collaborate with data architects, analysts, and business stakeholders to ensure data-driven decision making.
Deutsche Telekom IT Solutions, a subsidiary of the Deutsche Telekom Group, provides comprehensive IT and telecommunications services with over 5,300 employees. The company has won awards for educational cooperation and ethical business practices, and it continuously develops its locations in Budapest, Debrecen, Pécs, and Szeged.
Analyze the performance of e-commerce products and full user journeys from ad exposure to purchase.
Define and monitor key metrics to identify conversion barriers and revenue opportunities.
Build dashboards, reports, and A/B tests to support product optimization and business recommendations.
Software Mind develops impactful solutions for companies worldwide, working with tech giants and unicorns on transformative projects. The company builds cross-functional engineering teams and fosters a culture of openness, respect, grit, and enjoyment.
Design and implement data solutions using cloud-native technologies like AWS, Databricks, and Snowflake.
Develop and optimize complex SQL queries and manage data migration at enterprise scale.
Collaborate with Agile teams to drive software and data engineering for a premier banking client.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Our team thrives in a culture of collaboration, creativity, and continuous learning, with over 20 years of success.
Design, build, and own ETL/ELT pipelines that bring data from multiple sources into Snowflake.
Model data in Snowflake to be clean, trustworthy, and easy to use for analytics and product.
Work directly with product and business leaders to turn vague questions into concrete data solutions.
Katapult is an AI-first engineering studio connecting senior LATAM talent with startups and companies in the US. We are a close-knit team where every member represents Katapult, co-creates product, and owns the outcome directly without managerial layers.