Architect and implement scalable, secure, and reliable data pipelines using modern platforms like Spark, Databricks, and Airflow.
Develop ETL/ELT processes to ingest data from various structured and unstructured sources, and perform exploratory data analysis.
Collaborate with cross-functional teams to design data models, write clean Python code, and deliver end-to-end features.
Netomi is a leading agentic AI platform for enterprise customer experience, working with global brands like Delta and MetLife. Backed by WndrCo, Y Combinator, and Index Ventures, the company is a well-funded startup with a collaborative culture.
Gather and understand requirements for data migration and transformation.
Design, build, and maintain performant, resilient, and maintainable data pipelines.
Ensure data quality, integrity, and availability with upstream and downstream systems.
Zeal is an AI-enabled software consultancy for Fortune 1000 companies, now part of Livefront. They are a values-driven technology company grounded in kindness, generosity, and integrity.
Build and maintain scalable data products that deliver insight across finance systems.
Design and optimize ETL processes to ensure data integrity and performance.
Collaborate with engineers, analysts, and business teams to define and deliver data solutions.
EDF is a leading energy company driving the transition to a low-carbon future, focusing on electricity generation and supply. They are a large organization with a collaborative culture, emphasizing personal growth and flexible working.
Design and optimize scalable data platforms, pipelines, and governance frameworks.
Lead data strategy and collaborate with leadership, engineering, and AI teams.
Mentor engineers and drive platform modernization with an AI-forward mindset.
Robots & Pencils is an applied AI engineering firm building AI co-workers for enterprise operations. Founded in 2009 with delivery centers in Canada, US, Eastern Europe, and Latin America, the company is a nimble alternative to traditional system integrators with teams averaging 15+ years of experience.
Design and ship data infrastructure at the core of modern data platforms, scalable pipelines, and reporting layers.
Work directly with the CEO and a small senior team, owning results from day one.
Build client-facing systems, translating business problems into architecture and delivering results.
Paradox Machines is a data and AI company that helps businesses make their data actually usable. They are a venture-backed company with a small, senior team that values ownership and impact.
Design, build, and maintain scalable data pipelines for analytics and operational use cases.
Develop dbt models, manage Airflow orchestration, and drive data quality and observability.
Lead technical design reviews, mentor engineers, and champion self-service analytics.
PENN Entertainment is a leading provider of integrated entertainment, sports content, and casino gaming experiences. With locations throughout North America, we support career growth and challenge conventions in gaming.
Build and maintain reliable data pipelines and ETL/ELT workflows.
Develop and optimize data models for analytics and internal tools.
Support core data platform tools like Spark and AWS, and monitor pipeline quality and performance.
Sonatype is the software supply chain security company, providing end-to-end software supply chain security solutions. Over 2,000 organizations, including 70% of the Fortune 100, and 15 million software developers rely on Sonatype to optimize their software supply chains.
Own core data pipelines end to end, building and operating ELT pipelines that move data from product and third-party systems into Snowflake.
Build the data foundation for AIDE's AI initiatives, making governed data available for agentic AI tooling.
Own data governance and pipeline health, including access controls, data quality, and warehouse cost management.
Benchling is an AI platform for biotech R&D that enables scientists to design experiments, capture structured data, and run AI agents in their workflows. Over 200,000 scientists worldwide trust Benchling, and the company emphasizes AI fluency and innovation in its culture.
Build and maintain Bronze-to-Gold pipelines in Databricks with Unity Catalog and metric views.
Extend automated data quality checks across gold-layer tables and validate against Power BI reports.
Establish documented pipelines, access models, and a working intake process for cross-department data requests.
CoreView empowers organizations to master Microsoft 365 complexity through robust security and governance. They serve over 23 million users worldwide and foster a collaborative, innovative culture.
Own and continuously improve the systems for collecting job opportunities from thousands of companies.
Design scalable data architectures and operate reliable ETL/ELT pipelines.
Collaborate with product and AI/ML teams to enhance matching quality and data foundations.
Jobgether is building a job search platform for experienced professionals in the global remote job market. They aggregate and enrich job data from around the world. We are a fully remote, international team focused on accountability and outcomes.
Design, build, and improve systems to reliably and efficiently process data at the scale of tens of terabytes per day.
Evaluate new technologies and set best-practice standards with Data Engineering and Data Platform Engineering.
Drive cross-functional projects with stakeholders across Mozilla and mentor teammates to develop engineering best practices.
Mozilla Corporation is a non-profit-backed technology company that makes pioneering brands like Firefox, the privacy-minded web browser, and works on diverse areas including AI, social media, security. The company is wholly owned by the non-profit Mozilla Foundation, with over 225 million monthly users, and focuses on making the internet better for people.
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.
Build and maintain ingestion pipelines from production source systems.
Write transformation models that turn raw data into reliable datasets.
Apply dimensional and medallion modelling patterns for the warehouse.
PerfectServe provides clinical communication and physician scheduling solutions for healthcare. Founded in 1997, the company has 400+ employees, 30,000+ customers, and $100M+ annual revenue, fostering a collaborative and innovative culture.
Design, build, and maintain scalable data pipelines and integrations across AWS and Microsoft technologies.
Develop and enhance data models and warehouse structures that support analytics, reporting, and business intelligence use cases.
Partner with engineering, product, and analytics teams to translate business needs into well-designed technical solutions.
VERSANT is a media and entertainment company that owns iconic brands across news, sports, and entertainment, including CNBC, Golf Channel, and Fandango. It operates across multiple markets with a culture emphasizing trust, teamwork, transparency, agility, and an entrepreneurial spirit.
Design production data pipelines using Databricks Lakeflow, Autoloader, and Structured Streaming with CI/CD.
Architect Lakehouse solutions including medallion architecture and Unity Catalog for analytics and AI.
Collaborate with product and backend engineers to design data models and APIs that serve the product.
Livefront helps companies design and build world-class digital products. They have worked with major brands and startups, fostering a culture built on respect, mutual trust, and egoless collaboration.
Define and execute the long-term data engineering strategy, designing scalable ecosystems and driving engineering excellence.
Deliver major systems reliably, align with business goals, and manage data quality and governance.
Influence cross-functionally, mentor engineers, and champion organizational change through executive communication.
SmithRx is a rapidly growing, venture-backed Health-Tech company disrupting the Pharmacy Benefit Management sector with a next-generation drug acquisition platform. Since 2016, they have onboarded hundreds of thousands of members and foster a mission-driven, collaborative culture guided by integrity, courage, and togetherness.
Build and operate reliable data infrastructure supporting marketing, payments, and product analytics.
Design and maintain data pipelines using Databricks and Apache Airflow to ensure accurate and timely reporting.
Collaborate with cross-functional teams to translate business needs into scalable data solutions.
Our partner company builds digital products for the mobile app industry, focusing on data-driven marketing and analytics. They offer a collaborative, international environment with a remote-first culture and emphasize continuous learning and professional growth.
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.
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.