Senior Data Engineer/Analytics
Vitable Health
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
Amazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformJavaNoSQLPythonSQL
About the role
- Work closely with Product, Engineering, Clinical, Operations, and Finance teams to understand data requirements and translate them into scalable solutions
- Assess our current data environment, identify gaps, and recommend improvements to support long-term growth.
- Design, develop, and maintain reliable, scalable ETL/ELT pipelines across ingestion, transformation, storage, and consumption layers.
- Build and manage our data models and transformations using dbt with strong testing and documentation practices.
- Implement best-in-class data governance, quality checks, lineage, and observability.
- Write production-grade Python/SQL, debug complex issues, improve pipeline performance, and ensure data accuracy and reliability.
- Work across multiple data sources and systems, integrating internal and external data as needed.
- Contribute to architectural decisions, technology selection, and data engineering standards.
- Help mentor and support future data team members as we scale.
- Advocate for data-driven decision making across the organization.
- Build metrics and dashboards that support critical business needs, including operational insights, clinical analytics, funnel conversion, cost modeling, and financial reporting.
- Ensure data requirements are incorporated early into product and operations workflows to reduce rework and improve adoption.
- Partner with Security/Compliance to ensure data processes meet SOC2 and HIPAA-adjacent requirements.
Requirements
- 5+ years of data engineering or analytics engineering experience designing and maintaining scalable, reliable data solutions.
- Strong proficiency with dbt and modern ELT workflows.
- Extensive experience with ETL/ELT techniques (batch + streaming).
- Expertise with cloud platforms such as AWS (S3, Redshift, Glue, Lambda), GCP (BigQuery, Dataflow, Cloud Storage), or Azure.
- Strong programming skills in Python (preferred) or Java.
- Deep SQL proficiency across relational and NoSQL systems.
Benefits
- 100% Silver Plan + Full Medical Coverage
- Dental and Vision Coverage
- 401(k) and Life Insurance
- Access to Vitable’s Primary Care membership
- Unlimited PTO
- Remote-first culture with a supportive team
- MacBook and any other gear you need
- Mentorship opportunities through First Round Capital
- Home office setup stipend
- Competitive equity package
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringanalytics engineeringETLELTdbtPythonSQLNoSQLcloud platformsdata modeling
Soft skills
collaborationmentoringadvocacyproblem-solvingcommunication