Team Development: Lead, mentor, and manage a team of Data Engineers, fostering a culture of ownership, continuous improvement, and technical excellence.
Cross-Functional Partnering: Serve as the primary liaison between the Data Engineering team and other departments (Client Success, Partnerships, Product, Engineering, Clinical, and Business Intelligence) to translate business needs into technical requirements and roadmaps.
Project Management: Work with leadership, stakeholders, and product managers to coordinate roadmap commitments, keep projects on track, and communicate and roll with changes as they inevitably occur.
Process Improvement: Drive the adoption of DevOps and DataOps methodologies, automating workflows, improving deployment processes, and reducing manual operational burden.
Operational Excellence: Oversee daily data operations of our Data Platform, including monitoring, incident response, and performance tuning of data pipelines and databases to ensure high uptime and meet defined SLAs.
Data Quality & Governance: Implement proactive data quality checks and monitoring frameworks. Partner with stakeholders to establish and enforce data governance policies.
HIPAA & Compliance: Ensure all data operations and infrastructure adhere strictly to healthcare regulatory requirements, including HIPAA and other relevant data privacy standards.
Disaster Recovery: Develop and maintain robust backup, recovery, and business continuity plans for critical data assets.
Architect and Build: Lead the design and implementation of scalable, reliable, and performant ETL/ELT data pipelines and data warehouse solutions that meet the demands of a growing organization.
Multi-Cloud Infrastructure: Own and optimize the data infrastructure across AWS and Azure cloud environments, ensuring interoperability, cost efficiency, and robust security.
Technology Expertise: Drive the selection and adoption of best-in-class data technologies, including modern data warehouses (e.g., Snowflake, Azure Synapse), orchestration tools (e.g., AWS Glue, Azure Data Factory), and real-time streaming solutions.
Code Quality: Set and enforce standards for code quality, testing, version control (Git), and documentation for all data engineering projects.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field (Master’s preferred).
10+ years of experience in Data Engineering, with at least 2 years in a management or technical leadership role.
Strong, hands-on experience with both AWS and Azure cloud platforms and their respective data services (e.g., AWS S3, EMR, Redshift, Lambda; Azure Data Lake, Azure Synapse, Data Factory).
Expert proficiency in SQL, Python, and experience with modern data warehousing/data lake concepts.
You are AI-native: You champion AI developer productivity tools (e.g., Cursor, GitHub Copilot) daily to accelerate your workflow and mentor the team on effective AI-assisted development.
Demonstrable experience working with sensitive healthcare data (e.g., PHI, EMR/EHR, Claims data) and ensuring HIPAA compliance.
Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and CI/CD pipelines.
Experience with a major orchestration tool like Apache Airflow or similar.
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Excellent communication, organizational, and problem-solving skills with the ability to manage competing priorities in a fast-paced environment.

Benefits

Stock option plan
Flexible schedules and remote work
Chicago and San Francisco offices available
Self-managed vacation days, within reason
Paid parental leave
Health, vision, and dental insurance
401K retirement plan

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

Data EngineeringETLELTSQLPythonInfrastructure as CodeCI/CDData WarehousingData LakeData Governance

Soft skills

LeadershipMentoringCommunicationOrganizationalProblem-solvingCross-functional collaborationProject ManagementContinuous ImprovementAdaptabilityTechnical Excellence

Certifications

Bachelor's degree in Computer ScienceMaster's degree in related field