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.
Lead the design and development of enterprise-grade data engineering solutions using Microsoft Fabric and Azure.
Design scalable data pipelines for batch and real-time processing and optimize ETL/ELT processes.
Implement data models, ensure data quality and governance, and provide technical leadership to data engineering teams.
HSO is a global technology company specializing in enterprise data and cloud transformation using Microsoft technologies. It offers a collaborative remote work environment with opportunities to work on international projects and large-scale data platforms.
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.
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 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.
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.
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 maintain scalable data pipelines using Spark, Flink, Kafka, and Airflow.
Architect robust data models and storage strategies for cloud data warehouses and lakes.
Ensure data quality, monitoring, and compliance with security and regulatory standards.
Coinbase is building the future of the global financial system as a leading crypto exchange. We have a remote-first engineering culture with cross-functional collaboration.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, and semantic layers.
Engineer modern data pipelines and models, writing production-ready code in SQL, Python, and Spark with Git and CI/CD best practices.
Aimpoint Digital is a fully remote AI and Data consultancy that partners with clients to design end-to-end analytical solutions and AI-ready data architectures. The company is a dynamic, growing team that blends modern tools with proven principles to deliver optimal data engineering outcomes.
Design, build, and maintain scalable data pipelines to support the Square team's data and feature engineering needs.
Lead feature data preparation, transformation, validation, and monitoring for machine learning and recommendation/search systems.
Collaborate with algorithm, product, and business teams to translate business requirements into reliable data and feature solutions.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in more than 100 countries, it offers a remote-first, results-driven culture with a flat structure.
Set the technical approach for migrating legacy data warehouse data and pipelines onto a cloud lakehouse.
Guide migration teams on patterns, reconciliation, and quality gates to ensure accuracy.
Design reusable migration pipelines using Azure Data Factory and Azure Databricks.
Oddball is a small company that values learning and growth and focuses on bringing quality software to the federal space. They operate as a remote, collaborative team with a culture of making a big impact.
Build and own batch pipelines and cubes behind dashboard analytics and agent insights.
Model shopper, trend, and benchmark data so the agent can find opportunities across the shopping journey.
Own data quality and trust: freshness, monitoring, alerting, and metric definitions.
Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products and enables global e-commerce brands to drive revenue and conversion gains. With a remote team and a culture of growth and collaboration, they offer unlimited vacation, training budgets, and regular offsites.
Design and own end-to-end lakehouse architecture on Databricks using Medallion patterns.
Build and optimize scalable batch and streaming pipelines in PySpark, Spark SQL and Python.
Define data governance, model data for analytics, and mentor junior engineers.
GoFasti is a Talent-as-a-Service that connects world-class developers and designers from Latin America with companies worldwide. The company emphasizes remote work and continuous learning, seeking proactive and detail-oriented professionals.
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 and build scalable data pipelines using PySpark and Databricks.
Collaborate with international teams to translate data needs into technical solutions.
Ensure data quality, monitor performance, and uphold engineering standards.
Our partner is a global technology company that delivers data solutions for leading brands. They offer a collaborative, international engineering culture and are recognized as an award-winning workplace.
Drive data platform migration and modernization initiatives across enterprise environments.
Architect and operate robust data pipelines transitioning legacy Hive to Apache Iceberg.
Manage distributed streaming infrastructure and optimize Snowflake data warehouse performance.
In All Media is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams globally. They partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
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.
Support client engagements as a project team member, translating business and technical requirements into data solutions.
Develop data pipelines and ETL/ELT processes on Snowflake, Databricks, AWS, and Azure for modern data platforms.
Contribute to code reviews, testing, documentation, and data governance while building consulting skills.
We help organizations unlock the full value of their data, turning complexity into clarity and measurable outcomes. FormativGroup is a collaborative team of specialists enabling middle-market companies to take full advantage of technology investments across cloud, AI, and data strategy.