Aetna

Data Engineer

Work at Home, Illinois, United States · Full-time

Sponsorship not specified$65k-$173kDetected 70 days ago

PythonSQLBigQueryAWSGCPAzureCloud PlatformsMachine LearningData EngineeringData ScienceCommunication

About the role

You will be part of a dedicated team creating datasets for analytic and data science workloads.
You will work with other Data Engineers and Sr.
Data Engineers on designing, implementing, and testing data pipelines.

Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources.
Implement best practices for performance tuning, partitioning, and clustering to optimize data queries.
Collaborate with data scientists and analysts to design data solutions that integrate with
We're seeking a Data Engineer to design and implement data pipelines that power analytical capabilities.
Your key responsibilities are: Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources.
Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries.
Position Summary We're seeking a Data Engineer to design and implement data pipelines that power analytical capabilities.

This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions.

Our people fuel our future.
Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful.

Preferred Qualifications Experience working with healthcare data, especially Epic.
Experience using GCP's BigQuery Knowledge of data governance best practices in a cloud environment.
Experience working with Machine Learning processes.
Education College degree or certification in related fields Anticipated Weekly
follow data quality standards, data governance frameworks, and security policies for data storage and access.
Data Quality & Governance: follow data quality standards, data governance frameworks, and security policies for data storage and access.

$64,890.00 - $173,040.00 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.
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.

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.
Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.
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.

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.

This listing is sourced directly from Aetna's careers page and normalized into a canonical job model.