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.
Design, build, and maintain scalable data pipelines supporting the modernization of U.S. Army financial systems.
Develop Python-based workflows and cloud-native solutions using AWS services like Glue, Lambda, S3, and CloudWatch.
Collaborate with cross-functional teams to translate business and mission requirements into reliable, secure data solutions.
540 is a forward-thinking technology company that builds impactful solutions for government clients, including modernizing legacy systems for the U.S. Army. The culture is self-starting, innovative, and focused on breaking down barriers to get things done.
Design robust Python data ingestion processes from diverse sources using AWS tools like Athena, Glue, Lambda, and Redshift.
Provision AWS infrastructure with Infrastructure-as-Code and embed observability to ensure high data reliability.
Partner with analysts and business teams to deliver seamless data and champion data quality and testing standards.
Reach is Britain and Ireland's largest commercial news publisher, home to over 120 brands including the Mirror and Daily Star. We reach 70% of the UK's online population and foster an inclusive, growth-oriented culture.
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.
Build and maintain reliable data pipelines and ETL/ELT workflows.
Develop and optimize data models for analytics and internal tools.
Monitor data pipelines for quality, performance, and reliability.
Sonatype is the software supply chain security company, providing end-to-end software supply chain security solutions and enterprise-grade SBOM management. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million developers, rely on Sonatype, and the company values clarity, learning, and autonomy.
Own the middle layer of the data pipeline, integrating Quantum interaction data with account, device, and operational data sources.
Build and maintain ETL workflows, develop AWS processing resources, and prepare reliable datasets for Tableau.
Investigate data discrepancies, troubleshoot pipeline issues, and collaborate with engineering leads and product owners as data complexity grows.
Blend is a premier AI services provider that partners with clients to create meaningful impact through data science, AI, technology, and people. The company fosters a culture of innovation and collaboration, dedicated to developing world-class talent and delivering data-driven strategy.
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 launch high-quality big data solutions on cloud platforms like AWS.
Solve complex data integration problems using ETL patterns, frameworks, and query techniques.
Collaborate with data analysts and scientists to drive profitable growth through data insights.
Mercury Insurance provides auto, home, and business insurance, helping people manage risk for over 60 years. A Forbes-recognized Best Midsize Employer, it values an inclusive, collaborative culture where team members grow and succeed.
Design, build, test, deploy, and maintain scalable cloud-based data pipelines that ingest and transform data from product, operational, and third-party systems.
Own data-pipeline architecture, including orchestration, monitoring, reliability, performance, and data quality.
Develop workflows, transformations, and data models that transform raw data into useful, trusted, and actionable information.
Karat is the world's largest interviewing company, providing a powerful system for technical leaders at companies like PayPal, Atlassian, and Citi to control how they hire top engineers. The company values data-driven insights, inclusivity, and a diverse workforce.
Own data workflows end to end, including ingestion, storage, orchestration, transformation, validation, and delivery.
Develop and maintain ETL and ELT pipelines using workflow orchestration and event-driven processing.
Partner with cross-functional teams to clarify requirements, investigate discrepancies, and communicate technical constraints.
GoFasti is a Talent-as-a-Service company that bridges world-class developers and designers from Latin America with first-class companies globally. We are a growing team focused on making remote work remarkable, connecting top talent to opportunities.
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.
Own customer data integrations for hospital systems from discovery to production
Design and build reliable data pipelines ingesting ERP and operational data
Troubleshoot integration failures and build reusable connectors for scale
Clarium is an AI-powered healthcare supply chain platform reducing hospital overspending through its Astra OS. Founded in 2020, it has raised $43M and is trusted by top health systems, with a high-growth, collaborative culture.
Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and data integration processes for enterprise reporting and analytics.
Build and optimize data transformation solutions using Python and SQL, integrating data from multiple sources while ensuring quality, lineage, and reliability.
Support cloud-based data solutions on Azure and contribute to platform modernization initiatives including Microsoft Fabric and Lakehouse architectures.
Marlabs is a global AI and Digital Solutions Consulting firm that delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with major healthcare, life sciences, financial services, and government organizations worldwide, and we foster an innovative, dynamic team.
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.
Lead and oversee complex data engineering projects, bridging technical gaps and navigating ambiguous conditions.
Collaborate across teams to align data engineering efforts and translate technical concepts for less technical colleagues.
Mentor data team members and ensure large engineering projects deliver business outcomes.
Velir is an established mid-sized digital agency serving clients from non-profits to Fortune 500 brands, and acquired Brooklyn Data Company, a data and analytics consultancy. The company is remote-first with a culture built on trust, collaboration, and continuous improvement, offering competitive pay and benefits.
Build and scale data pipelines for ingestion into Snowflake, focusing on reliability and performance across a $750M+ e-commerce business.
Design and ship agentic systems that automate data engineering work, including pipeline generation, testing, and maintenance.
Collaborate with analysts, data scientists, and product teams to deliver end-to-end data solutions, from ingestion to advanced analytics and AI.
Babylist is the leading platform for expecting and new families, offering a universal registry, shop, health, and more. With over 10 million users and $750M revenue in 2025, Babylist is a remote-first, AI-forward company that values focus, intention, and recharging.
Design, build and maintain reliable data pipelines in Python on AWS.
Build and maintain backend services and APIs using Django and FastAPI.
Take end-to-end ownership of assigned work, including design, testing, code reviews, releases and production support.
Smart Working connects skilled professionals with global teams for full-time remote roles, aiming to break down geographic barriers. It fosters a remote-first community focused on growth and well-being, and is rated highly on Glassdoor.
Build and modify high-complexity ETL and data pipelines for large-scale datasets.
Develop monitoring and alerting systems to proactively identify data and infrastructure issues.
Lead end-to-end data engineering initiatives across cross-functional teams, including planning and system design.
ItD is a new generation consulting and software development company that blends diversity, innovation, and integrity. It is a woman- and minority-led firm with a global community, offering opportunities with Fortune 500 companies and high-performance teams.
Translate business and stakeholder needs into scalable data engineering and data science solutions.
Partner with cross-functional teams to understand requirements, prioritize opportunities, and deliver data-driven outcomes.
Build and maintain ETL pipelines, data integrations, and technical documentation for data assets.
Stryker is a leading medical technology company driven to make healthcare better, offering innovative products in orthopaedics, medical and surgical, and neurotechnology. Named one of the World's Best Workplaces, it is a large global organization focused on improving patient and hospital outcomes.
Design and build scalable data architectures across warehouses, data lakes, and lakehouse environments.
Develop, maintain, and optimize ETL/ELT workflows and reliable data pipelines using dbt, Prefect, and AWS.
Collaborate with cross-functional teams to translate business needs into effective data models and solutions.
We are a technology-driven company building scalable data infrastructure to support strategic decision-making. Our culture emphasizes collaboration, engineering excellence, and continuous improvement.