Senior Data Engineer - AdTech
Sign up free to see how well your resume matches this role.
What you'll do
- Design, build, robust and scalable solutions to support data-driven applications analytics and business intelligence solutions.
- Partner closely with business stakeholders, analysts, product teams, and fellow engineers to engineer scalable, cloud-native data pipelines.
- Own the full data lifecycle - from data modeling and ETL/ELT development to performance tuning, troubleshooting, and continuous improvement.
What they're looking for
- 3+ years of experience working with SQL and relational database management systems
- 3+ years of experience in Cloud Data Engineering Platforms such as AWS, GCP, Azure, Databricks, Snowflake etc.
- 3+ years of experience in on-prem Data Engineering Platforms such as Microsoft SQL Server, Oracle, Teradata etc.
- Programming and modifying code in languages like SQL, Python, and PySpark to support and implement Cloud based and on-prem data warehousing services.
- Hands-on experience with dimensional data modeling, schema design, and data warehousing
- Hands-on experience with troubleshooting data issues
- Hands-on experience with various performance improvement techniques
- Willingness to identify and implement process improvements, and best practices as well as ability to take ownership to work within a fast-paced, collaborative, and team-based support environment
- Excellent oral and written communication skills
Nice to have
- Experience with data platforms such as BigQuery, Teradata, Snowflake, Azure, AWS, or GCP.
- Experience supporting healthcare, pharmacy benefit management (PBM), or specialty pharmacy data environments.
- Familiarity with real-time data integration, CDC (Change Data Capture), or event-driven data architectures.
- Experience with workflow orchestration and automation tools.
- Exposure to cloud migration initiatives and hybrid data architectures.
- Experience with monitoring, observability, and operational support best practices.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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.
Position Summary
We are seeking a highly skilled Senior Data Engineer to join our Data Engineering team to design, build, robust and scalable solutions to support data-driven applications analytics and business intelligence solutions.
You will partner closely with business stakeholders, analysts, product teams, and fellow engineers to engineer scalable, cloud-native data pipelines. Leveraging the modern GCP data stack you will own the full data lifecycle - from data modeling and ETL/ELT development to performance tuning, troubleshooting, and continuous improvement.
Location: Must work a hybrid work schedule in one of our hub locations (Chicago area, Boston area, New York City, Dallas area, Phoenix area, Hartford CT, or Woonsocket RI).
Required Qualifications
3+ years of experience working with SQL and relational database management systems
3+ years of experience in Cloud Data Engineering Platforms such as AWS, GCP, Azure, Databricks, Snowflake etc.
3+ years of experience in on-prem Data Engineering Platforms such as Microsoft SQL Server, Oracle, Teradata etc.
Programming and modifying code in languages like SQL, Python, and PySpark to support and implement Cloud based and on-prem data warehousing services.
Hands-on experience with dimensional data modeling, schema design, and data warehousing
Hands-on experience with troubleshooting data issues
Hands-on experience with various performance improvement techniques
Willingness to identify and implement process improvements, and best practices as well as ability to take ownership to work within a fast-paced, collaborative, and team-based support environment
Excellent oral and written communication skills
Preferred Qualifications
Experience with data platforms such as BigQuery, Teradata, Snowflake, Azure, AWS, or GCP.
Experience supporting healthcare, pharmacy benefit management (PBM), or specialty pharmacy data environments.
Familiarity with real-time data integration, CDC (Change Data Capture), or event-driven data architectures.
Experience with workflow orchestration and automation tools.
Exposure to cloud migration initiatives and hybrid data architectures.
Experience with monitoring, observability, and operational support best practices.
Education
Bachelor's degree in Computer Science or a related field or equivalent work experience.
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$92,700.00 - $222,480.00This 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.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Company
Company facts come from this company's own listings. We only show what the postings themselves carry.