• Data Engineer II

    Essentia Health (Duluth, MN)


    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

     

    Employee Benefits at Essentia Health*: Health Coverage: Medical, dental, vision, life and disability insurance, plus supplemental health benefit options to ensure employees' well-being.Retirement Savings Plans: 401(k) with employer contributions to support long-term financial security.Professional Development: Opportunities for career growth through training, tuition reimbursement, and educational programs.Work-Life Balance: Flexible scheduling, time off, holidays, and personal leave to help employees manage their professional and personal lives.Employee Wellness Programs: Initiatives focused on physical, mental, and emotional health, including fitness memberships, counseling services, and wellness activities.*Eligibility for Essentia Health’s benefit programs vary. Please refer to the benefit summary provided to you, or contact our HR Service Center at (218) 576-0000 for more information.

     

    **Job Location:** Peerless Building

    **Shift Rotation:** Day Rotation (United States of America)

    **Shift Start/End:** 8:00 AM/4:30 PM

    **Hours Per Pay Period:** 80

    **Compensation Range:** $83429 - $125154 / year

    **FTE:** 1

     

    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.