Data Engineer II
Artificial Intelligence
Big Data
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Integration Tools
Data Lakes
Data Pipeline
Data Platform
Data Processing
Data Science
Data Warehouse
Database
Databases
ETL
Informatica
Information Technology (IT)
Programming Language
Programming Languages
Software Development
SQL
Job Description
Essentia Health is hiring a Data Engineer II to build and optimize scalable data pipelines for large datasets, supporting batch and near real-time analytics.
Responsibilities
- Design and optimize scalable, resilient data pipelines and workflows to support large datasets and meet functional and non-functional business requirements
- Implement advanced data processing and scheduling using frameworks such as Apache Spark, ADF, and Airflow
- Write and optimize advanced SQL queries for reporting and application use
- Ensure data quality, governance, and security via automated testing and monitoring
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements
- Provide technical guidance and mentorship to junior data engineers
- Develop infrastructure for both real-time and batch processing workflows
- Deliver actionable data products and insights for business-critical tools
Requirements
- Bachelor’s degree in computer science, data analytics, statistics, or related field
- 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 Python, Java, or Scala
- Experience building pipelines with orchestration tools such as Apache Airflow or AWS Glue for ingestion and delivery
- Experience with modern data management technologies such as data lake, lakehouse, and data catalogs
- Experience supporting batch and streaming data to enable near real-time analytics and reporting
Technologies
- Apache Spark, Airflow, ADF
- SQL
- Python, Java, Scala
- AWS Glue
- Data lake, lakehouse, data catalogs
- dbt
- Microsoft Fabric
- AI and machine learning
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
Compensation and Schedule
- Location: Duluth, MN (Remote)
- FTE: 1
- Compensation range: $89,523.20 - $134,284.80 per year
- Shift: Day Rotation (United States of America)
- Shift start: 8:00 AM
- Shift end: 4:30 PM
- Holidays: No
- Call obligation: No
- Possible remote option: Remote
Location Details
- Building location: Peerless Building
- Department: 1007670 ANALYTICS AND ARCHITECTURE - EH SS
Benefits
- Medical, dental, vision, life, and disability insurance
- 401(k) plan with employer contributions
- Training, tuition reimbursement, and educational programs
- Flexible scheduling
- Generous time off
- Wellness resources focused on your physical, mental, and emotional health