Data Engineer - Cloud & Data Warehouse for Healthcare

Hispanic Alliance for Career Enhancement

Saint Paul (MN)

On-site

USD 65,000 - 173,000

Full time

9 days ago

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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings

Job summary

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions. You will design and implement on-premise data solutions and migrate workloads to the cloud, collaborating with engineering, analytics, data science and product teams.

The role focuses on processing payer files into our Data Warehouse with extensive experience in SQL, Python/PySpark, and dimensional modeling. Strong communication and ownership are essential in a fast-paced environment.

Qualifications

  • 4+ years of experience with SQL and relational DBs.
  • 2+ years in cloud data engineering platforms (AWS, GCP, Azure, Databricks, Snowflake).
  • 2+ years in on-prem data platforms (SQL Server, Oracle, Teradata).
  • Proficient in SQL, Python, and PySpark for cloud and on-prem data warehousing.
  • Hands-on experience with dimensional modeling and data warehousing.
  • Hands-on troubleshooting of data issues.
  • Experience with performance improvement techniques.
  • Strong communication and ownership in a fast-paced, collaborative environment.

Responsibilities

  • Deliver high-quality data solutions in collaboration with engineering, analysts, data scientists, and product teams.
  • Design, integrate, and implement on-premise data solutions and support cloud migrations.
  • Process payer data files into the Data Warehouse.
  • Own responsibilities in a fast-paced, team-based support environment.

Skills

SQL
Cloud platforms
On-prem platforms
Python/PySpark
Dimensional modeling
Data warehousing
Troubleshooting
Performance tuning
Ownership
Communication

Education

Bachelor's degree in Computer Science/Engineering

Tools

Microsoft SQL Server
Oracle
Teradata
Databricks
Snowflake

Job description

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions. You will design and implement on-premise data solutions and migrate workloads to the cloud, collaborating with engineering, analytics, data science and product teams.

The role focuses on processing payer files into our Data Warehouse with extensive experience in SQL, Python/PySpark, and dimensional modeling. Strong communication and ownership are essential in a fast-paced environment.

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