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.
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.
Execute end-to-end migration of ~1,000 datasets to Snowflake, ensuring reliable data delivery.
Modernize orchestration from Airflow 2 to Airflow 3 and migrate Hive structures to Apache Iceberg.
Optimize pipelines using Python, Spark, PySpark, Kafka, and AWS S3 with a focus on performance.
The company is modernizing legacy data infrastructure to a scalable, high-performance environment, migrating 1,000 datasets to Snowflake. They value technical excellence, autonomy, and efficient delivery in a globally distributed engineering culture.
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.
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.
Operate, monitor, and automate production environments using Terraform and GitLab CI/CD, and support incident response.
In All Media is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. They partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
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.
Design and scale high-performance data pipelines into Snowflake for a large e-commerce platform.
Automate data engineering workflows using agentic systems and AI-native tooling.
Collaborate with analytics, data science, and product teams to deliver end-to-end data solutions.
This partner company operates a large-scale e-commerce and digital platform serving millions of users. It fosters a remote-first culture across the U.S. and Canada, emphasizing innovation, ownership, and practical use of AI.
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, build, and maintain data pipelines and systems for web events into our datalake.
Tackle big data processing challenges using batch and streaming techniques.
Build frameworks for MLOps, data documentation, and AI-powered data analysis tools.
ZipRecruiter is a leading online employment marketplace that connects millions of businesses and job seekers through AI-driven smart matching technology. We have the #1 rated job search app on iOS & Android and a culture focused on innovation and collaboration.
Design and maintain scalable ETL/ELT pipelines in Snowflake
Build and optimize data models and workflows for BI and analytics
Integrate data from APIs and collaborate with cross-functional teams
Software Mind is a multicultural team of engineers who ramp up top-notch companies' projects. They are in constant growth with an excellent work environment certified by Great Place To Work.
Build and maintain Imagine's analytics platform, including AWS infrastructure, data pipelines, and core data models.
Develop and optimize Spark and dbt pipelines processing billions of device events into reliable, cost-effective datasets.
Ensure platform reliability, security, and operational excellence while collaborating with the global Analytics Team.
Imagine Worldwide is a nonprofit providing tablet-based literacy and numeracy learning to marginalized children across Sub-Saharan Africa. Operating as a small, remote team across Africa, the US, and the UK, it values collaboration, innovation, and mission-driven impact.
Design, build, and maintain scalable data pipelines and platform infrastructure on Snowflake, owning the platform end to end.
Champion data quality, governance, and consistency, ensuring high-trust data for all downstream consumers.
Build with AI-native tooling, setting up development environments and establishing team practices for the AI era.
RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform, connecting the pharmacy ecosystem.
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.
Execute end-to-end migration of ~1,000 datasets to Snowflake and upgrade Airflow workflows to Airflow 3.
Modernize legacy data to Apache Iceberg, migrate streaming infrastructure across cloud regions, and optimize SQL performance.
Implement testing strategies and debug complex pipelines to ensure high data quality and reliability.
Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams. They partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
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.
Build, extend, and maintain ELT pipelines from enterprise applications, internal systems, and the GitLab SaaS platform.
Manage data infrastructure including Snowflake, Fivetran, Airflow, and Kubernetes, ensuring reliability and cost-efficiency.
Partner with analytics and data science teams to deliver governed, tested, and documented data ready for AI tools and reporting.
GitLab is the intelligent orchestration platform for DevSecOps, helping organizations increase developer productivity and accelerate digital transformation. With over 50 million registered users and a high-performance, AI-first culture, GitLab is fully remote and values-driven.
Design, build, and operate reliable automated data pipelines for health plan data.
Model complex healthcare data into clear, trustworthy canonical and analytical models.
Bring legacy processes and pipelines into a common platform, extending tooling for partner teams.
Machinify is a leading healthcare intelligence company building AI-powered software that helps health plans pay claims accurately. Deployed by over 85 health plans representing more than 270 million lives, Machinify fosters a flexible, trusting, and remote-first culture.
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.