Design, build, and maintain scalable ETL pipelines using PySpark and Databricks.
Optimize data pipelines for performance, cost-efficiency, and data quality best practices.
Collaborate with engineering and business teams to deliver robust data solutions.
Truelogic is a nearshore staff augmentation provider delivering technology solutions to companies of all sizes. With a team of 600+ tech professionals across Latin America, they foster a dynamic culture focused on career growth.
Supporting development, maintenance, and continuous improvement of client data platforms.
Designing ETLs and ELTs, building Lakehouse architectures, and managing data pipelines.
Working with AWS data services, Apache Spark, and DevOps tools in an Agile environment.
Netrix Global provides people, processes, and technology to run and scale modern data-driven businesses. They have a strong, collaborative remote team with opportunities to expand skillsets across the organization.
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.
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.
Design, build, and maintain robust ETL/ELT pipelines for analytics and reporting on AWS and Databricks.
Develop data processing workflows using Python, SQL, and PySpark within Delta Lake lakehouse environments.
Collaborate with architects and analysts to define data integration standards, optimize performance, and support governance.
Attain Talent is a recruitment and staffing firm that places skilled professionals with organizations like the Centers for Medicare & Medicaid Services (CMS). They focus on fair compensation, comprehensive benefits, and professional development opportunities for their employees.
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 and manage AWS cloud data platforms using services like Glue, EMR, Lake Formation, and CloudWatch.
Develop and optimize data pipelines with Python, PySpark, SQL, and open table formats such as Apache Hudi or Iceberg.
Automate infrastructure with Terraform and collaborate with distributed teams to ensure data quality, security, and performance.
The hiring partner company builds scalable AWS cloud data platforms and modern data solutions. It maintains a fully remote, international culture with collaborative engineering teams.
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.
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 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 maintain data pipelines using SparkSQL and Pyspark within a central data lake.
Collaborate with cross-functional teams like Data Science, AI/ML, and other engineers to ensure high-quality data.
Champion Samsara’s cultural principles while building reliable, customer-facing data sets.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for safety, efficiency, and sustainability. As a publicly traded company, it fosters a culture of growth mindset and customer success, supporting a global team.
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 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.
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 using Microsoft Azure Fabric and Databricks.
Build reliable ETL/ELT processes for structured and unstructured data and ensure production-ready integration solutions.
Collaborate with business stakeholders to translate data requirements into technical solutions and take end-to-end ownership.
This company is a technology organization seeking a Senior Data Engineer to build scalable data pipelines on Azure and Databricks. It offers a fully remote, collaborative environment with global stakeholders and a focus on engineering ownership.
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.
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, 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 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 and own scalable data infrastructure for real-time and batch processing, including pipelines handling billions of events daily.
Architect medallion-layer data models in Databricks and build AI-assisted workflows with Claude Code.
Partner with analytics and data science teams to deliver reliable datasets and enable natural-language querying.
Life360 is a family safety and location-sharing platform offering mobile apps, Tile trackers, and Pet GPS with crash detection. It has 102M+ monthly active users and 500+ remote-first employees, with an AI-native, trust-based culture.