Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
CVS Health

Software Engineer – Workforce Insights

CVS Health

. Design, implement, test, and maintain software features across Python, SQL, and workflow code .

Posted 10/15/2026full-timeUnited StatesMid-LevelSenior💰 $83,430 - $222,480 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python, SQL, and data workflows, with a strong focus on building and maintaining production software and cloud data platforms. Proficient in implementing automated tests, managing data transformations, and collaborating with cross-functional teams to deliver insights and solutions.

Highest-signal resume keywords
Python DevelopmentSQL ExpertiseAirflow for ETLBigQuery TransformationsAPI Integration

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

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

Hard Skills
PythonSQLAPI DevelopmentData TransformationsAutomated TestingCloud Data PlatformsDimensional ModelingData QualityIncident ManagementTechnical Documentation
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
BigQueryApache AirflowGitHub ActionsApache SupersetGoogle Cloud Platform
Certifications & Qualifications
Google Cloud Professional Data Engineer
Industry Keywords
Workforce InsightsHR AnalyticsData LineageCI/CD PracticesData Security

Tech Stack

Tools & technologies
AirflowApacheBigQueryCloudETLGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact
  • Design, implement, test, and maintain software features across Python, SQL, and workflow code
  • Translate product and operational requirements into technical tasks and acceptance criteria
  • Collaborate with data engineers, analysts, and HR partners
  • Participate in code reviews and write automated tests for business logic, data contracts, and integrations
  • Build and maintain BigQuery transformations and models
  • Implement approved workforce metric definitions and reconcile outputs
  • Contribute to Superset datasets and dashboard integrations
  • Develop and maintain Airflow workflows, Python automation, SQL assets, and deployment code
  • Use GitHub Actions releases across development, pdev, and production environments
  • Diagnose defects, contribute fixes and monitoring, and support incident processes
  • Maintain technical documentation, data lineage, and operational procedures
  • Modernize the Workforce Insights stack through refactoring and migration validation
  • Maintain Apache Superset deployments and integrations, assess upgrades, and track security advisories
  • Share technical context and explain tradeoffs and metric behavior to technical and non-technical partners

Requirements

What you’ll need
  • 3+ years of professional software development experience, or equivalent experience building and supporting production software
  • 3+ years of experience with Python or a comparable general-purpose language, including readable, maintainable code and automated tests
  • 3+ years of experience building or integrating APIs, services, data workflows, or other production systems
  • 3+ years of experience across application code, data transformations, and operational tooling
  • 2+ years of advanced SQL expertise, preferably in BigQuery
  • 2+ years of Kimball dimensional modeling experience
  • 2+ years of production experience with Airflow or Cloud Composer and Python for ETL, automation, data quality, and troubleshooting
  • 2+ years of hands-on experience with cloud data platforms; GCP strongly preferred
  • Working knowledge of BigQuery, Cloud Storage, IAM, service accounts, Secret Manager, and related security concepts
  • 1+ year of experience with an enterprise semantic or BI layer such as Superset, ThoughtSpot, Looker, Tableau, Power BI, or similar
  • 1+ year of experience with Git, code review, and CI/CD practices
  • 1+ year of experience tracing data or metric discrepancies to root cause and explaining findings to technical and non-technical audiences
  • Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience
  • Ability to follow access-control, policy-tag, row-level security, and small-cell suppression patterns
  • Preferred: HR or people-analytics knowledge, sensitive employee data experience, REST API automation, open-source software maintenance, Google Cloud Professional Data Engineer certification, or a Master’s degree

Benefits

Comp & perks
  • CVS Health bonus, commission or short-term incentive program in addition to base pay
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • Other resources supporting physical, emotional, and financial well-being