Source Job

• Own dashboard changes end to end in QuickSight and ThoughtSpot, including new metrics, SPICE refresh, and post-release validation.
• Build and maintain batch and streaming ETL pipelines on AWS using Glue (PySpark), S3, Redshift, and Airflow DAGs.
• Investigate customer-reported analytics discrepancies, root-cause data issues, and communicate findings across teams.

Eltropy is a digital conversations platform for credit unions and community financial institutions in the US. The Data Engineering & Analytics team builds AWS data pipelines and customer-facing dashboards that power analytics; they seek a collaborative engineer who learns fast and works across teams.

• Design, build, and maintain scalable data pipelines and systems using Python, PySpark, and AWS-native services.
• Develop and optimize data platforms on AWS, leveraging technologies like Redshift, Glue, and Athena.
• Mentor junior engineers and collaborate with cross-functional teams in an Agile environment.

Capital Technology Group provides expert consulting services in software development, digital transformation, and data analytics. Recognized as a Top Workplace by The Washington Post, they foster a culture where employees feel trusted and empowered.

• Design, build, and maintain scalable data pipelines and platform capabilities to power analytics, AI/ML, and healthcare products.
• Implement data quality, governance, and security controls, ensuring healthcare data is handled securely and in compliance.
• Provide technical leadership, mentor engineers, and collaborate across teams to translate requirements into scalable data solutions.

Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. They foster a culture of care, growth, and celebration with day-one benefits, career development, and a supportive team environment.

• Design and build batch-oriented data pipelines and ETL workflows using AWS Glue, Lambda, and Step Functions.
• Develop and optimize ingestion pipelines and analytical data models with Athena, Redshift, and ClickHouse.
• Collaborate with backend engineers to integrate data workflows with microservices and ensure data quality and observability.

SavvyMoney is a US-based financial technology company providing integrated credit score and personal finance solutions to over 1,600 bank and credit union partners. It was recognized as a top workplace and Inc. 5000 fastest growing company, with a distributed team across the US, Canada, Europe, and India.

• Design, build, and maintain scalable data pipelines on AWS using S3, Glue, Redshift, Athena, and EMR.
• Provision and manage AWS data infrastructure using Terraform and CloudFormation, and orchestrate workflows with Apache Airflow.
• Implement HIPAA and HITRUST security controls, and collaborate with teams to ensure data quality and compliance.

AspenView Technology Partners specializes in building high-performing nearshore IT teams for North American clients. They are a people-first company with a culture that blends U.S. innovation and Latin American talent, offering flexible work and growth opportunities.

• Design and maintain scalable ETL pipelines for large-scale data migration and integration.
• Build and optimize AWS-based data lake and warehouse solutions using services like Glue, S3, and Redshift.
• Develop Python scripts and database procedures to automate data processing and transformation.

Our partner is a technology company specializing in cloud data engineering and migration solutions. They operate with a high-impact engineering team and foster a culture of innovation and remote collaboration.

• Design and build scalable batch data pipelines using AWS Glue, Lambda, and Step Functions.
• Optimize analytical data models and query layers with Amazon Athena, Redshift, and ClickHouse.
• Collaborate with backend engineers to integrate data workflows with microservices and event-driven architectures.

The company is a technology organization focused on building scalable data platforms and analytics solutions. They operate with a distributed international team and emphasize modern engineering practices.

• Design, build, and maintain scalable data pipelines using modern tools like dbt, Airflow, and Prefect.
• Develop curated data models and products to support analytics, AI workloads, and operational use cases.
• Collaborate with AI, Analytics, and Product teams to deliver high-quality, scalable data solutions.

RemoFirst offers a platform that provides people management tools and employee benefits, enabling companies to hire talent globally. It is one of the fastest-growing private companies in the USA, backed by $40M+ in venture funding, with a fast-paced startup culture.

• Build, maintain, and optimize scalable data infrastructure for AI/ML features.
• Partner with ML Engineers, Data Scientists, and Software Engineers to transform healthcare data into high-quality datasets.
• Contribute to data pipelines, improve data quality, and ensure reliable, performant, and well-governed data for AI systems.

Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout, with a culture that values starting with the customer, keeping it simple, staying entrepreneurial, being better together, and celebrating success.

• Design and maintain data pipelines on AWS using Spark, Python, and SQL.
• Orchestrate workflows with Airflow, containerize with Docker and ECS.
• Collaborate within agile teams to deliver high-quality data solutions.

Devoteam is a leading European consulting firm focused on digital strategy, technology platforms, cybersecurity, and business transformation through technology. With over 10,000 employees across 20 countries in Europe, the Middle East, and Africa, they foster a close-knit professional culture.

• Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
• Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
• Mentor junior engineers and drive architectural improvements, supporting data governance and automation.

Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.

• Design, build, and maintain scalable data pipelines using Python and AWS DynamoDB.
• Develop and optimize DynamoDB data models and indexing strategies for high throughput.
• Establish data validation, monitoring, and alerting mechanisms to ensure pipeline reliability.

Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. With a team that thrives in a culture of collaboration and creativity, the company offers competitive compensation and professional development opportunities.

• Own the Airflow codebase end-to-end, building reusable templates and enforcing standards.
• Build and extend large-scale Spark pipelines on AWS Glue and support migration to Databricks.
• Drive data model improvements around commercial pharma data with focus on structure and lineage.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, it surpassed $3B in revenue and values doing the right thing, customer success, employee success, and speed.

• Build and own data pipelines, models, and infrastructure that turn raw labor market data into systems connecting people to jobs.
• Shape data modeling in the warehouse, ensure trustworthy analytics and reporting, and build pipelines for matching and recommendation models.
• Partner closely with Engineering, Product, and VP of Data & AI to decide how the platform is built.

FutureFit AI is an AI-powered platform that helps people get better jobs faster, focusing on those facing barriers to opportunity. The company has 30-50 employees across the US and Canada, with a culture of high trust, high impact, and a will to win.

• Design and implement AWS data engineering components including Lambda, S3, and database integrations with Snowflake.
• Build and operate end-to-end data pipelines, data marts, warehouses, and lakes, along with Snowflake AI features such as Cortex.
• Collaborate with architects and stakeholders, independently producing initial architecture drafts for review.

Resilient Co. provides data engineering and cloud solutions, specializing in AWS and Snowflake platforms to meet enterprise data integration and analytics needs. They operate with a nearshore delivery model, focusing on cost efficiency and senior-level expertise.

• Build and maintain scalable data pipelines using Python, dbt, and Snowflake-native tooling on AWS.
• Develop and maintain Snowflake semantic views to support analytics and reporting needs.
• Implement data access controls and ensure pipelines meet enterprise data governance standards.

The Enterprise Analytics Center of Excellence is building a next-generation analytics stack centered on Snowflake, AWS, and Sigma. The team focuses on collaboration, continuous improvement, and enabling analytics teams with reliable data.

• 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, and ETL/ELT pipelines.
• Engineer modern ELT/ETL pipelines and data models using SQL, Python, and tools like Snowflake, Databricks, and dbt.

Aimpoint Digital is a fully remote data and analytics consultancy that partners with innovative software providers to solve complex business problems. The team is dynamic and collaborative, working independently on client engagements across industries.

• Own the reliability of data pipelines, proactively identifying and fixing issues.
• Design and optimize dimensional data models using dbt for scalable analytics.
• Partner with technical and business teams to ensure data accuracy and usability.

Homeward creates financial products to simplify homebuying, giving buyers and sellers certainty. It is a remote-first real estate startup with a diverse team across multiple countries, grounded in values of empathy, focus, and teamwork.

• Design and implement data pipelines and analytic infrastructures with the latest technologies.
• Build data warehouses, create dashboards, and develop self-service data exploration capabilities.
• Leverage AI tools to enhance client and internal capabilities, including AI agents and agentic infrastructure.

Fractal River is a consulting firm that helps companies scale faster by building robust technical and operational infrastructure. They work with a diverse range of clients, from startups to established organizations, fostering a culture of continuous learning and AI integration.

• Design, develop, and maintain scalable data models for enterprise reporting and analytics.
• Build and optimize ETL/ELT pipelines using modern data transformation frameworks like DBT.
• Partner with business stakeholders to translate needs into scalable analytical solutions.

Agilon health is a healthcare company focused on transforming the delivery of care for Medicare Advantage and value-based care models. The company fosters a collaborative culture with a passion for improving healthcare through data and analytics.