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

Experience with DBTExperience with Microsoft Fabric Excellent problem-solving skills and attention to detail

Strong communication and collaboration skills

Licensure/Certification

Qualifications:

FTE:1

Possible Remote/Hybrid Option:

Remote Shift Rotation:

Day Rotation (United States of America)
Shift Start Time:8:00 AMShift End Time:4:30 PM Weekends:

Holidays:

No

Call Obligation:

No

Union:

Union Posting Deadline:

Compensation Range:$89,523.20 - $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 .Summary

Location:

Duluth, MNType:
Full time