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 DBT

• Experience 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 AM

Shift End Time:

4:30 PM

Weekends:

Holidays:

No

Call Obligation:

No

Union:

Compensation Range:

$89,523.20 - $134,284.80

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.

It is our policy to afford EEO to all individuals, regardless of race, religion, color, sex, pregnancy, gender identity, national origin, age, disability, family medical history, genetic information, sexual orientation, marital status, military service or veteran status, culture, socio-economic status, status with regard to public assistance, and other factors not related to qualifications, including employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or membership or activity in a local human rights commission, or any other category as defined by law.