Data Engineer II

Building Location:
Peerless Building
Department
1007670 ANALYTICS AND ARCHITECTURE - EH SS
Job Description
The Data Engineer II is responsible for designing and optimizing scalable and complex data pipelines and workflows to handle large datasets. They are expected to implement advanced data processing and scheduling techniques using frameworks like Apache spark, ADF and airflow. Ensures data quality, governance, and security through automated testing and monitoring solutions. Collaborate with cross-functional teams to support data-driven decision-making and ensure the scalability and efficiency of data systems.
Education Qualifications
Key Responsibilities:
Designs and optimizes scalable and robust data pipelines and workflows to handle large datasets to meet functional and non-functional business requirement
Implements advanced data processing and scheduling techniques using frameworks like Apache Spark, ADF and Airflow
Write and optimize advanced SQL queries for reporting and applications
Ensures data quality, governance, and security through automated testing and monitoring solutions
Work closely with data scientists, analysts, and other stakeholders to understand data requirements
Provide technical guidance and mentorship to junior data engineers
Develop infrastructure to support real-time and batch processing workflows
Deliver actionable data products and insights for business-critical tools
Education Requirements
Bachelor’s degree in computer science, data analytics, statistics, or related field
Required Qualifications
2-5 years of experience in data engineering or a related role
Proficiency in SQL and experience with database management systems
Strong programming skills in languages such as Python, Java, or Scala
Experience with pipelines using orchestration tools such as Apache Airflow or AWS Glue for seamless data ingestion and delivery
Experience with modern data management technologies (e.g., data lake, lakehouse, data catalogs)
Experience supporting both batch and streaming data, enabling near real-time analytics and reporting
Preferred Qualifications
Familiarity with applying AI and machine learning techniques to data use cases
Experience creating robust data transformation workflows, including metadata management, dependency tracking, and workload orchestration
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills
DBT
Microsoft Fabric
Fte
Licensure/Certification Qualifications:
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
Compensation Range:
$84,364.80 - $126,547.20
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.

Work arrangement
Yes