Senior Data Engineer - Cloud & Data Warehouse

Hispanic Alliance for Career Enhancement; Des Moines (IA); On-site; USD 65,000 - 173,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a Senior Data Engineer to deliver high-quality data solutions in a fast-paced, collaborative environment. You will design, implement, and optimize data pipelines for our data warehouse, integrating on-prem and cloud workloads while partnering with engineering, analytics, data science and product teams.

The ideal candidate has 4+ years in SQL/RDBMS, 2+ years with cloud platforms (AWS/GCP/Azure) and on-prem databases, plus Python/PySpark coding, strong data modeling and

Qualifications

• 4+ years of experience with SQL and relational DBMS.
• 2+ years of experience with cloud platforms (AWS, GCP, Azure, Databricks, Snowflake).
• 2+ years of experience with on-prem data platforms (SQL Server, Oracle, Teradata).
• Programming in SQL, Python, PySpark for cloud and on-prem warehousing.
• Hands-on dimensional data modeling and data warehousing.
• Hands-on data troubleshooting and issue resolution.
• Willingness to own improvements in a fast-paced, collaborative environment.
• Excellent oral and written communication skills.

Responsibilities

• Deliver high-quality modern data solutions for the Data Warehouse.
• Collaborate with engineering, analysts, data scientists and product teams.
• Design, integrate and implement on-prem and cloud data solutions; support migrations to cloud.

Skills

SQL & RDBMS

Cloud Data Platforms

On-prem Data Platforms

Python / PySpark

Dimensional modeling

Data warehousing

Troubleshooting

Performance tuning

Communication skills

Education

Bachelor's in CS/Engineering

Job description

CVS Health is seeking a Senior Data Engineer to deliver high-quality data solutions in a fast-paced, collaborative environment. You will design, implement, and optimize data pipelines for our data warehouse, integrating on-prem and cloud workloads while partnering with engineering, analytics, data science and product teams.

The ideal candidate has 4+ years in SQL/RDBMS, 2+ years with cloud platforms (AWS/GCP/Azure) and on-prem databases, plus Python/PySpark coding, strong data modeling and