Analyze, develop, and deliver business intelligence solutions using the Microsoft Analytics stack.
Work directly with clients to understand business problems and translate them into scalable data solutions.
Build and maintain databases, data pipelines, and data lakes while ensuring data quality and reliability.
NRI is a consulting firm specializing in data analytics and business intelligence solutions. They offer a collaborative, team-oriented environment with opportunities for growth and development.
Collaborate with cross-functional teams to design and deliver scalable data solutions for the Unified Data Platform on Azure Fabric.
Build and optimize data pipelines, ETL/ELT processes, and ensure data quality and compliance with HIPAA and governance standards.
Work directly with researchers to translate requirements into technical designs and contribute to the evaluation of emerging technologies.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate and prepare leaders for the future. It is a large academic institution with a collaborative culture focused on research, education, and community impact.
Lead the design and implementation of Azure-based cloud integration solutions for a federal healthcare modernization project.
Develop and maintain enterprise data pipelines using Azure Data Factory, Databricks, and Data Lake Storage Gen2.
Collaborate with cross-functional teams to ensure secure interoperability with Department of Defense systems and adherence to DevSecOps practices.
VetsEZ provides technology solutions for government healthcare modernization, currently supporting a large federal healthcare project for the Department of Veterans Affairs. The company fosters a collaborative culture and offers remote opportunities with a focus on secure, scalable cloud integration.
Design and build scalable data pipelines for high-impact data products across multiple business domains.
Drive cloud data migration initiatives and modernize existing platforms using Azure-based solutions.
Collaborate with Data Analysts, ML Engineers, and business stakeholders to deliver robust end-to-end data solutions.
Redcare Pharmacy is Europe's No.1 e-pharmacy, driven by innovation and passionate teams to achieve the vision of global health. They foster a collaborative culture where every employee feels valued and inspired.
Work cross-functionally with Product and experts to conceptualize, prototype, and build data solutions
Build and maintain data engineering systems and high-quality data models from multi-source healthcare datasets
Develop and test data pipelines and draft internal and external technical documentation
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, and others, we are a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.
Design, build, and maintain scalable data pipelines and services using Python and modern data engineering frameworks.
Architect and implement data solutions on cloud platforms (AWS, Azure, or GCP) and optimize database performance.
Serve as a technical leader, mentoring junior engineers and collaborating with cross-functional teams to deliver data-driven solutions.
Sagent powers servicers and consumers by transforming the mortgage servicing industry with modern technology. We're a growing joint venture combining Fiserv's fintech expertise with Warburg Pincus, hiring innovators to disrupt the lending space.
Design, build, and maintain robust, scalable ELT/ETL data pipelines from various source systems into cloud data platforms.
Perform data modeling, including dimensional modeling, and build transformation layers using dbt to create analytics-ready datasets.
Support operational reliability, monitor data pipelines, and ensure SLAs for timeliness, freshness, and accuracy.
Troveo builds the data platform that AI labs and model builders need to train the next generation of models. Backed by top investors, we’re a small, high-impact team solving one of the biggest bottlenecks in AI development.
Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes.
Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives.
Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks.
CI&T helps large enterprises transform AI potential into business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.
Design, develop, and maintain scalable data pipelines to ingest, transform, validate, and store data from multiple internal and external systems.
Optimize data models and schemas for reporting and dashboarding, supporting enterprise analytics platforms.
Collaborate with data strategists, analysts, and solutions developers to enable analytics use cases and ensure compliance with federal security and regulatory requirements.
Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, the company supports over a dozen federal agencies and has over 300 employees nationwide.
Act as the technical point of contact for external and internal stakeholders during onboarding and implementation.
Manage data integration and tech implementation projects, including EMR integrations, API connections, and SFTP data feeds.
Translate clinical and operational requirements into technical configurations and maintain integration documentation.
Guidehealth is a data-powered, performance-driven healthcare company dedicated to operational excellence. Operating as a physician-led organization with a fully remote team, we foster a culture of collaboration, continuous learning, and innovation.
Design, build, and maintain scalable data pipelines and ETL processes using Microsoft Fabric.
Integrate data from multiple sources, ensuring quality and reliability across medallion architecture.
Develop data models and transformations using dbt in the Fabric lakehouse.
Hone is an online medical clinic transforming healthcare and enhancing longevity using scientific advancements. The company is a remote-first employer with a focus on empowering people to take control of their health.
Design, build, and maintain scalable data pipelines and analytics infrastructure on Azure Databricks.
Develop and optimize ETL/ELT processes to ingest and transform data from multiple sources.
Collaborate with cross-functional teams to deliver trusted, analytics-ready datasets for business intelligence.
Indigenous Pact is a technology company specializing in data platform and analytics solutions, with a focus on healthcare and indigenous communities. They foster a culture of empathy, wisdom, bravery, and transformation, and offer a remote-first work environment.
Design, develop, and maintain data pipelines using Azure Databricks.
Build and optimize data transformations using PySpark and SQL in Databricks.
Implement and maintain Lakehouse architectures using Delta Lake.
Miratech helps visionaries change the world. We are a global IT services and consulting company with nearly 1000 full-time professionals and a culture of Relentless Performance.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion through to analytics enablement.
Improve monitoring, alerting, and data quality across key pipelines.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. Over 400,000 players have joined, and the team operates with high ownership and fast iteration in a scale-up environment.
Lead the design and development of enterprise data architecture for an integrated care platform.
Architect scalable data platforms and leverage AI to enhance operational efficiency.
Establish data governance, integration patterns, and cloud-based solutions using Azure services.
Our client is an award-winning HealthTech IT services company providing digital health and AI development solutions for enterprises from startups to Fortune 20 companies. They have designed systems for over 100 companies, including Penn Medicine and Merck, and have won multiple awards like Fast Company World Changing Ideas and Daveys Gold.
Design and maintain scalable data pipelines using Microsoft Fabric, Databricks, and Azure services.
Optimize ETL/ELT processes for performance and cost efficiency.
Collaborate with cross-functional teams to transform data requirements into robust solutions.
The company builds modern cloud-based data platforms to power enterprise analytics and decision-making. It offers a fully remote, collaborative environment with global stakeholder interaction and opportunities for professional growth.
Design, build, and maintain scalable data pipelines for ingestion and transformation.
Work with Python, SQL, Apache Airflow, and Google Cloud Platform.
Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
Our partner is a technology company focused on AI and data solutions. The team values collaboration, innovation, and continuous learning, and offers a remote work environment.
Build and maintain batch data pipelines ingesting from Workday and legacy systems into a medallion lakehouse on Azure Databricks and Microsoft Fabric.
Develop transformation logic across Bronze/Silver/Gold layers using Spark, Python, and SQL, and implement data-quality checks.
Work within a federated architecture and Unity Catalog security model, contributing to documentation and code reviews.
CampusWorks is a consulting firm that helps higher education institutions leverage technology and managed services to drive transformation and student success. Founded in 1999, it is a large, virtual company with a culture that values work-life balance and employee appreciation.
Design, develop, and maintain scalable data pipelines that transform complex customer data into actionable business value.
Work across the full data lifecycle, from ingestion and transformation to activation and analytics.
Use modern cloud technologies and AI-assisted development workflows to create reliable, high-performing data solutions.
Jobgether uses an AI-powered matching process to help candidates find roles and connects top-fitting applicants directly with hiring companies. The company fosters a remote, collaborative environment with a focus on efficient recruitment.
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.