• Job Description

  Req#: R072752

  Building Location:

  Peerless Building

  Department:

  1007670 ANALYTICS AND ARCHITECTURE - EH SS

  Job Description:

  The Sr Data Engineer is responsible for designing complex, large-scale data solutions, including data lakes, lakehouses, and real-time streaming platforms. They are expected to lead the development and deployment of data pipelines and provide mentorship junior engineers, define best practices for data engineering, and contributes to strategic planning for data initiatives.

  Education Qualifications:

  Key Responsibilities:

  • Defines best practices for data engineering and contributes to strategic planning for data initiatives
  • Understands, articulates and applies principles of the defined strategy to routine business problems
  • Leads the development and deployment of cloud-based, hybrid or on prem data infrastructure using platforms like AWS, Azure, SQLServer, Postgres etc.
  • Develop and maintain data storage solutions, ensuring high availability and performance
  • Architects complex, large-scale data solutions, including data lakes, warehouses, and real-time streaming platforms
  • Implement and enforce data security best practices
  • Manage automated unit and integration test suites
  • Stay updated with the latest industry trends and technologies
  • Drive the adoption of best practices in data engineering
  • Mentor junior engineers and serves as team lead for data engineering team

  Required Qualifications:

  • 5-8 years of experience in data engineering or a related role
  • Expertise in SQL and database management systems
  • Strong programming skills in languages such as Python, Scala or Java
  • Experience using APIs to push and pull data from various data systems and platforms
  • Expertise in integration tools like Airflow
  • Extensive experience with modern data technologies (e.g., data lake, lakehouses, data catalogs).
  • In-depth Knowledge of data concepts and tools (e.g., Hadoop, Hive, Iceberg, Snowflake, DBT, Fabric)

  Preferred Qualifications:

  • Experience with applying AI and machine learning techniques to data use cases
  • You have experience running pilot programs, innovating, and iterating on feedback
  • Experience with monitoring and logging tools to ensure platform reliability
  • Strong leadership abilities
  • Excellent problem-solving skills and attention to detail
  • Strong communication and collaboration skills

  Licensure/Certification Qualifications:

  Education Requirements:

  • Bachelor’s degree in computer science, data analytics, statistics, or related field

  FTE:

  1

  Possible Remote/Hybrid Option:

  Remote

  Shift Rotation:

  Day Rotation (United States of America)

  Shift Start Time:

  8:00 AM

  Shift End Time:

  4:30 PM

  Weekends:

  Holidays:

  No

  Call Obligation:

  No

  Union:

  Union Posting Deadline:

  Compensation Range:

  $102,668.80 - $154,003.20

  Employee Benefits at Essentia Health: At Essentia Health, we’re committed to supporting your well-being, growth, and work-life balance. Our comprehensive benefits include medical, dental, vision, life, and disability insurance, along with supplemental options to fit your needs. We offer a 401(k) plan with employer contributions to help you plan for the future, and we invest in your professional development through training, tuition reimbursement, and educational programs. To help you thrive both at work and at home, we provide flexible scheduling, generous time off, and wellness resources focused on your physical, mental, and emotional health. Please note that benefit eligibility may vary. For full details, refer to your benefit summary or contact our HR Service Center at (218) 576-0000.

• About the company

  We're called to make a healthy difference in people's lives. 71 clinics/outpatient locations and 14 hospitals across Minnesota, North Dakota, Wisconsin, and Idaho.

Notice