Support deployment of scalable infrastructure and tooling (e.g., Snowflake, dbt, AWS, Sigma) to support analytics and reporting.
Drive high-impact analyses across claims, EHR, and real-time patient activity data, translating complex data into clear insights.
Build and scale robust data pipelines and governance practices to ensure data integrity, availability, and compliance.
Daymark Health is a value-based oncology company redefining the cancer care experience for patients, providers, and health plans. The company is backed by several venture firms and led by CEO Dr. Justin Bekelman, a pioneer in transforming cancer care.
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 implement scalable data architectures to meet business needs.
Develop and optimize data pipelines for ingesting and processing large volumes of data.
Provide technical leadership and mentorship to junior engineers.
Oportun is a mission-driven financial services company that provides affordable credit and financial tools. Since inception, it has provided over $21.3 billion in credit and saved members $2.5 billion, and fosters a diverse, inclusive culture.
Implement and maintain metadata management and data quality platforms in a cloud-native AWS ecosystem.
Automate metadata ingestion, data lineage, and data quality monitoring using Python and SQL.
Collaborate with Data Engineering, Data Governance, and AI teams to drive data standards adoption.
Software Mind develops solutions that make an impact for companies around the globe. They build cross-functional engineering teams and their culture embraces openness, respect, grit, and enjoyment.
Design and build data infrastructure for autonomy, including data lakes, ingestion pipelines, and storage systems.
Develop tooling for dataset curation, labeling workflows, and data visualization to support perception and planning teams.
Collaborate cross-functionally to establish data contracts and evolve data engineering standards.
Torc is an autonomous vehicle technology company developing software for automated trucks, with over a decade of experience in the field. As part of the Daimler family, they are a collaborative, energetic, and team-focused company.
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.
Develop and refine strategies for acquiring research data from scientific laboratory instruments.
Engineer and operationalize custom file parsers to handle diverse instrument output formats.
Architect and implement robust data models, scalable data pipelines, and comprehensive tests.
3Pillar Global is an AI transformation partner that helps enterprises build AI-native products and intelligent agents. With teams across North America, Europe, Latin America, and Asia, they work with ambitious companies in financial services, healthcare, media, and technology, fostering a remote-first, globally collaborative culture.
Design and implement end-to-end document intelligence pipelines on AWS, including ML model development for document classification and field extraction.
Build scalable data processing systems handling PDFs up to 2000 pages, and own features from research through production deployment and monitoring.
Collaborate with subject matter experts to refine requirements, establish evaluation frameworks, and ensure extraction accuracy.
Exadel is an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients including HBO, Microsoft, Google, and Starbucks. Our culture is defined by ambitious, collaborative, and constantly evolving people who lead with trust, respect, and purpose.
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.
Own the end-to-end data science engine for a priority vertical, driving measurable revenue and media efficiency.
Focus on Insurance and Advertiser Quality, with scope broadening over time.
Deliver buying models that maintain positive ROAS and drive lead quality improvements across the portfolio.
Launch Potato is a discovery and conversion company that reaches tens of millions of people monthly through its brands. They are a profitable, bootstrapped company with a remote-first team across 18 countries.