Signify Health
Senior Data Engineer
Work at Home, Illinois, United States · Senior · Full-time
Sponsorship not specified$83k-$222kDetected 30 days ago
PythonSQLBigQueryAWSGCPAzureCloud PlatformsMachine LearningdbtData EngineeringEpicCommunication
About the role
- You will be part of a dedicated team creating datasets for financial and analytic workloads.
Responsibilities
- Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources.
- Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs.
- Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes.
- Design and architect data infrastructure analytical workloads.
- Understanding of data warehousing concepts, dimensional modeling, and building data marts.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners.
- Data Engineer to design and implement data pipelines that power analytical capabilities.
Requirements
- This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions.
Nice to have
- Knowledge of data governance best practices in a cloud environment.
- Experience with data design in BigQuery Experience working with the Epic data model.
- Our people fuel our future.
- Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful.
- Share best practices and mentor junior data engineers.
- 5+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines.
- Strong proficiency in SQL and experience in developing complex queries.
- Familiarity with pySpark, DBT, or other similar frameworks.
Skills
- Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access.
Compensation
- $83,430.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.
- The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.
- This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
- Our people fuel our future.
- Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
- Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Benefits
- We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience.
- At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do.
- Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.
- Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.
- Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models.
- The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
- Additional details about available benefits are provided during the
- application process and on Benefits Moments.
Company info
- our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people.
- They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.
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This listing is sourced directly from Signify Health's careers page and normalized into a canonical job model.