Build, maintain, and optimize scalable data pipelines using SQL, Python, and Spark to support direct mail and digital marketing clients.
Own daily monitoring and maintenance of Databricks workflows, AWS jobs, and related data tools, resolving pipeline failures and schema changes.
Collaborate with analytics, campaign, and account teams to ensure data accuracy, security, and seamless campaign delivery.
Our partner is a growing, data-driven company that builds and maintains data infrastructure for client marketing campaigns. They offer a collaborative environment within a performance-driven team working with modern technologies like SQL, Python, Spark, Databricks, and AWS.
Own and operate data pipelines ensuring accurate data delivery to Snowflake.
Improve pipeline performance and scalability by reducing latency and optimizing costs.
Drive reliability and data quality through SLOs, monitoring, and automated checks.
Tala is an AI-native credit infrastructure connecting global capital to borrowers in emerging markets. With over $9 billion distributed to 14+ million customers, it has a global remote-first team with offices on four continents.
Design, build, and maintain reliable data pipelines and platforms for ICA, a trusted advisor to federal agencies.
Transform structured and unstructured data into dependable datasets for analytics, applications, and AI initiatives.
Collaborate with data scientists, analysts, and software engineers using Python, SQL, and AWS.
ICA assists government clients with evaluating and achieving objectives through research, data analysis, advanced data science, and strategic services. It is a small, rapidly growing company with a collaborative 'one team' culture that prioritizes work-life balance.
Design, build, and maintain scalable data pipelines that ingest, reconcile, transform, and publish data for AirCover products and operations.
Develop analytics-ready data models and metrics supporting executive reporting, claims, experimentation, financial reconciliation, and self-serve analysis.
Partner cross-functionally with engineering, product, finance, analytics, and data science to translate business needs into trustworthy data assets.
Airbnb is an online marketplace that connects hosts with guests for unique stays and experiences. It has grown to over 5 million hosts and 2 billion guest arrivals, with an inclusive culture that values diversity and belonging.
Lead enterprise-wide data architecture and define long-term platform design principles.
Design and optimize ETL pipelines using Airflow, dbt, Python, Snowflake, and Spark.
Build streaming data pipelines with Kafka and CI/CD automation for reliable large-scale systems.
The company is building scalable, reliable data platforms and shaping enterprise-wide data architecture. They value technical leadership, data governance, and collaboration across business and analytics teams.
Design, build, and maintain scalable ETL/ELT pipelines using Snowflake and Apache Airflow.
Optimize data processing, ensure data quality, and support reliable delivery of data solutions.
Collaborate with engineers, analysts, and stakeholders to turn requirements into effective data engineering.
Element Solutions is a digital transformation partner that builds modern digital solutions for government and commercial customers. It is a remote-first, HUBZone-certified company based in Washington, DC, with a vibrant team focused on impactful work.
Build, maintain, and optimize data pipelines using Snowflake, Google BigQuery, SQL, and Python.
Develop reusable data models and transformation workflows using SQL, dbt, and established engineering practices.
Collaborate with data architects, analytics teams, and stakeholders to deliver trusted, analytics-ready datasets.
Unlock Health is a full-service marketing communication agency, grounded in technology, built for healthcare. The company integrates brand, marketing, technology, and revenue strategy to help healthcare organizations attract and retain patients, grow brand equity, and protect margins.
Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow across batch, streaming, and real-time workloads.
Drive data platform evolution including data lake, event instrumentation, data quality, and governance for systems like Kafka, Airflow, Druid, and EMR on EKS.
Implement data governance and privacy solutions, and build agent harnesses that encode engineering standards into AI tools.
Webflow is an agentic web marketing platform that helps marketing teams build, manage, and optimize high-performing web experiences. The company values grit, speed, and craft, and fosters a culture of ownership and reinvention.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion to analytics enablement.
Work closely with Product, Analytics, and Engineering to improve data quality and monitoring.
We are a next-generation sports betting and gaming platform built for a new wave of players. With over 400,000 players, we’re a high-performance team operating at pace with high ownership and constant iteration.
Lead the architecture and development of scalable data pipelines using AWS Glue, EMR, S3, Python, and PySpark.
Drive enterprise data integration and ETL/ELT workflows while optimizing performance and data quality.
Mentor data engineering teams, establish engineering standards, and collaborate with architecture and business stakeholders.
A partner company of Jobgether is seeking a Data Engineering Lead to drive cloud-based data transformation. It offers a remote-first, flexible, and inclusive working environment with opportunities for professional growth.
Design, build, and maintain scalable ELT/ETL data pipelines and dimensional models for analytics.
Write optimized SQL and Python for data exploration, reporting, and troubleshooting.
Monitor data deliveries, implement quality checks, and collaborate with engineering and business stakeholders.
Troveo builds a data platform for AI labs and model builders, providing the world's largest licensed dataset of proprietary video, audio, text, and business workflow data. Backed by top investors, it's a small, high-impact team focused on solving bottlenecks in AI development with a high-trust, low-ego culture.
Design scalable data models and reliable pipelines to turn complex real estate information into actionable insights.
Collaborate with Data Science and Product teams to deliver customer-facing data products for rental operations.
Set engineering standards, influence architecture, and drive data reliability within a quality-focused team.
An innovative AI-native technology company transforming how businesses buy, manage, and sell single-family rental properties through high-quality market intelligence. It is a small, quality-focused engineering team that values technical leadership, ownership, and collaboration.
Building core infrastructure software (pipelines, APIs, data modelling) as part of a client's data platform team.
Instrumenting systems for performance and ensuring secure data offerings to internal and external stakeholders.
Choosing and implementing the appropriate technologies for scaling data access patterns, batch processing, and streaming.
YLD is a software engineering and design consultancy that empowers clients to build lasting digital capabilities. They have offices in London, Lisbon, and Porto and are built on attracting, inspiring, developing, and retaining extraordinary people.
Architect and maintain robust data ingestion pipelines that feed both application and analytics.
Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data.
Build reliable, automated pipelines with data quality tests, monitoring, and safe reprocessing.
GoFasti is a Talent-as-a-Service company that bridges world-class developers and designers from Latin America with first-class companies globally. They focus on remote work and building high-performing, autonomous teams.
Build, maintain, and support ETL/ELT pipelines and data transformations using Python, SQL, and Spark/PySpark.
Troubleshoot pipeline failures and data quality issues to ensure reliable delivery of healthcare data products.
Collaborate with engineering, product, and data consumers to clarify requirements and deliver high-quality data changes.
Definitive Healthcare turns healthcare data, analytics, and expertise into actionable intelligence that helps customers shape the future of healthcare. Founded in 2011, the company supports over 2,400 clients globally and fosters a collaborative, inclusive culture recognized with multiple workplace honors.
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 and build reliable data pipelines that process large volumes of customer warehouse data
Build and run machine learning operations infrastructure from training to production
Own data quality and data modeling to ensure accurate and trustworthy data
Keebo automatically optimizes cloud data warehouses for Snowflake and Databricks to control compute costs without hurting query performance. The company is venture-backed, built on years of database and ML research, and operates fully remotely.
Build and maintain scalable ETL/ELT data pipelines for Microsoft SQL Server and PostgreSQL.
Support AI data preparation workflows including document ingestion and embeddings for RAG systems.
Orchestrate data jobs using Airflow, Azure Data Factory, and SQL Server Agent.
CodeRoad is a technology execution partner that engineers, modernizes, and scales technology for North American companies since 2002. They offer a collaborative, high-trust environment with long-term opportunities and engineering autonomy.
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.
Own the data platform from architecture through production, handling high-volume ingestion from APIs, webhooks, files, and scraping.
Implement concurrent processing, event-driven intake, and orchestrated batch workflows using tools like Airflow, dbt, and GCP.
Ensure data correctness through idempotent upserts, safe retries, and automated quality checks.
Fundable is a startup data platform that helps investors and teams discover and research companies. It is a small engineering team with broad ownership and a focus on building reliable data infrastructure.