Senior Data Engineer
Tava Health
full-time
Posted on:
Location Type: Remote
Location: Alabama • Arizona • United States
Visit company websiteExplore more
Job Level
About the role
- Build and maintain robust data pipelines using tools like Airflow, Airbyte, and BigQuery.
- Manage and evolve our data warehouse architecture.
- Integrate third-party platforms including Salesforce, HubSpot, Iterable, ZocDoc, and Metabase.
- Lead the implementation of centralized data governance, defining sources of truth and managing data flow standards.
- Partner with cross-functional teams to implement clean, reporting-ready data models in dbt.
- Write clean, production-grade code in a general-purpose language (e.g., Python).
- Monitor data quality and ensure reliability across systems.
Requirements
- 5+ years of data engineering experience in high-growth or complex environments.
- Proficiency with modern data warehousing tools such as BigQuery or Snowflake.
- Strong SQL and data modeling skills.
- Experience writing production-level code in a general-purpose language.
- Integration experience with tools like Salesforce, HubSpot, or Iterable.
- Outstanding time and backlog management skills; able to manage competing priorities in a fast-paced environment.
- Self-starter who works well independently and cross-functionally with both technical and non-technical stakeholders.
Benefits
- 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata pipelinesdata warehousingSQLdata modelingproduction-level codePythondata governancedbtdata quality
Soft Skills
time managementbacklog managementability to manage competing prioritiesself-startercross-functional collaborationworking independentlycommunication with technical stakeholderscommunication with non-technical stakeholders