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Unite Us

Platform enabling cross-sector health collaboration

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • 6–8+ years of experience designing, building, and operating data warehouses, data lakes, and ETL/ELT pipelines in production environments.
  • Proven experience building, designing, or optimizing data pipelines using Snowflake.
  • Experience using data transformation tools such as dbt.
  • Proven expertise architecting and optimizing batch and streaming data pipelines.
  • Advanced SQL knowledge, including complex query authoring and familiarity with relational databases such as Snowflake, Redshift, and PostgreSQL.
  • Strong proficiency in Python for building, optimizing, and maintaining data pipelines and services.
  • Experience with orchestration frameworks such as Apache Airflow.
  • Exposure to or experience with AWS and cloud services such as S3, ECS, and RDS, including building cloud-native data platforms.
  • Experience with CI/CD pipelines for testing, deployment, and release, such as GitHub Actions and Jenkins.
  • Experience with infrastructure and data tooling including Kubernetes, Terraform, and Docker.
  • Exposure to or experience with Kafka.
  • Experience developing or delivering data platforms or applications for large enterprise clients.
  • Background or previous engagement with healthcare and/or social determinants of health (SDOH) data products, including designing, building, or maintaining pipelines for healthcare claims and clinical data, with an understanding of data quality, scale, sensitivity, and compliance requirements in this space.
  • Experience designing high-performance, reliable systems, including exposure to operational best practices.
  • Exposure to or experience with data quality frameworks.
  • Experience supporting analytics, reporting, or data user tools such as Tableau, Looker, ThoughtSpot, or Sigma.
  • Strong problem-solving and troubleshooting skills, with the ability to identify, investigate, and resolve complex data issues and system failures, and to lead technical investigations.
  • Strong communication skills and the ability to collaborate effectively with cross-functional and non-technical stakeholders.
  • A Bachelor of Science or Bachelor of Arts degree in Computer Science, or equivalent experience.
  • Must pass a background check that includes criminal, employment, and education verification.

Responsibilities

  • Design and implement data architecture and infrastructure aligned with business objectives.
  • Collaborate with Application Engineers, Product Managers, and Solutions Architects to ensure data systems or technical infrastructure support client and product requirements.
  • Develop, create, and maintain ETL processes and data pipeline solutions for efficient loading of data into the data warehouse.
  • Test, monitor, and optimize data pipelines or ETL solutions to ensure reliability, performance, and scalability.
  • Collect and validate high-quality data.
  • Ensure data integrity and maintain strong data governance standards.
  • Champion data democratization and enable or facilitate access to well-documented data for relevant stakeholders.
  • Guide the team or engineering teams on technical or data engineering best practices.
  • Contribute to system or platform architecture.
  • Support operational activities such as onboarding new customers to data products.
  • Participate in team on-call rotations.
  • Partner or engage with cross-functional teams, including Solutions Delivery, Business Intelligence, Predictive Analytics, and Enterprise Services.
  • Address, resolve, or support data-related technical issues or requirements.

About the Company

Unite Us

Platform enabling cross-sector health collaboration

Unite Us connects healthcare providers, health plans, government entities, and nonprofits through a platform that coordinates services across sectors to support whole-person health. It identifies needs, delivers care, and handles payments within a national network spanning 44 states. Revenue comes from client subscriptions to its platform. It differentiates itself by enabling cross-sector collaboration, local delivery of services, and strong data privacy controls for handling sensitive health information, with a focus on improving behavioral health and community health outcomes.

Company size
201-500
Company stage
Grant
Total funding
$380.6M
Headquarters
New York City, New York
Founded
2013

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