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, develop, and maintain data pipelines and warehouses for business intelligence.
Collaborate with technical users and stakeholders to define data requirements and deliver accurate insights.
Use Python, AWS, and ETL tools to automate, monitor, and optimize data integration jobs.
TaskUs provides outsourced digital services and next-generation customer experience to fast-growing technology companies. With approximately 60,000 employees globally, TaskUs has a People First culture and operates in twenty-three locations across twelve countries.
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, implement, and maintain secure and scalable AWS cloud infrastructure supporting a federal client's architecture.
Develop ETL pipelines and automate deployments using AWS services such as S3, Redshift, Glue, Lake Formation, and Lambda.
Implement CI/CD pipelines, Infrastructure as Code, and data governance within a SAFe Agile environment.
A rapidly growing federal contractor providing secure cloud infrastructure and data solutions for federal clients. They emphasize a collaborative, SAFe Agile culture and support remote work with occasional travel to the DMV area.
Develop cloud-native data products and scalable ETL pipelines using AWS services.
Implement Infrastructure as Code, CI/CD pipelines, and observability for reliable deployments.
Apply Data Mesh principles and data governance across cross-functional data teams.
They build secure, scalable AWS infrastructure and data solutions for federal environments. The team works in a SAFe Agile environment with a focus on data governance, automation, and collaboration.
Design, build, and maintain production-grade, event-based data pipelines capable of processing thousands of events per second in near real-time.
Implement scalable data modeling designs and orchestration logic to transform raw event streams into optimized data models for downstream business consumption.
Extend core data platform toolsets and manage the release, monitoring, and maintenance of production data pipelines.
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, the company provides a modern, high-tech, and fun work environment.
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.
Own AWS data architecture and technical roadmap across ingestion, transformation, storage, and serving.
Build reliable batch and near-real-time pipelines with clear SLAs and observability.
Model ERP supply chain data into a reusable warehouse and lead legacy migration.
Clarium is an AI-powered healthcare supply chain platform that helps hospitals reduce overspending and improve efficiency with its Astra OS. Founded in 2020, Clarium has raised $43M and is trusted by leading health systems, with a collaborative, fast-paced culture.
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.
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.
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.
Own and scale the end-to-end ingestion to catalog to derived pipeline powering InfraSpec datasets across all core domains.
Lead the migration from legacy scripts to a durable platform, including architecting the greenfield graph layer for RouteFinder.
Enforce data contracts, quality gates, and observability to keep pipeline rework under 20%.
Inflect is building a marketplace that transforms how companies buy and sell digital infrastructure—datacenter, cloud, and network services. As a fast-growing startup, we work quickly and collaboratively; full-time employees receive option grants and share ownership.
Design and build production software and data systems for a premier banking client.
Work hands-on with cloud-native technologies and modern architecture on enterprise-scale data movement and transformation.
Collaborate in Agile teams applying strong Python, AWS, and relational database skills to real-time and batch processing.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Our exceptional team thrives in a culture of collaboration, creativity, and continuous learning, with a track record of success spanning over 20 years.
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, 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 the technical vision for complex federal and public sector data pipeline systems.
Drive architectural strategies that prioritize scale, performance, and security compliance.
Write production-ready code and guide mission-critical technical initiatives.
Unstructured builds AI-ready data pipelines for enterprises and governments, transforming PDFs, HTML, Word docs, images, and emails for LLMs and generative AI. It's a well-funded startup with a mission-driven, collaborative culture of smart, low-ego builders.
Design, deploy, and optimize data and AI/ML systems on AWS end-to-end.
Maintain and evolve production platforms, monitoring for drift and improving reliability.
Partner with AWS Professional Services and client teams to align data and AI architecture with business goals.
We are an applied AI engineering firm building AI co-workers that integrate into enterprise operations and deliver measurable client results. Founded in 2009, we are a smaller, senior team with delivery centers in the US, Canada, Eastern Europe, and Latin America, averaging 15+ years of experience.
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.
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.
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.