Data Engineer - REMOTE

Building Location:Peerless Building

Department:47670 Analytics & Architecture

Job Description:Are you passionate about leveraging data to improve patient care and optimize business operations? Do you thrive on innovation and solving complex challenges? If so, we want you to join our dynamic Enterprise Analytics team at Essentia as a Data Engineer.
Why Join Us? At Essentia, we believe in the power of data to transform healthcare. Our mission is to develop cutting-edge data-driven solutions that enhance patient outcomes and streamline operations. As a key player in our enterprise data lake development, you will be at the forefront of our data strategy, working with a team of talented professionals dedicated to making a difference.

Education Qualifications:

What You’ll Do:

• Collaborate & Innovate: Work with diverse teams and stakeholders to gather requirements and create impactful data solutions.
• Lead Projects: Guide teams through complex projects using agile methodologies to ensure timely and efficient delivery.
• Build Scalable Systems: Design, develop, and implement robust data workflows and pipelines that integrate data sources across our system.
• Optimize & Automate: Implement CI/CD processes to enhance reliability, scalability, and performance.
• Ensure Quality: Develop solutions for data profiling, quality assurance, and observability to meet SLAs.
• Modernize & Scale: Evaluate and implement cutting-edge tools and technologies to future-proof our data management solutions.
• Governance & Best Practices: Support data governance initiatives and maintain comprehensive technical documentation.

What We’re Looking For:

• Technical Skills: Proficiency in ETL development with tools like SSIS or Informatica, advanced knowledge of programming languages such as Python, Java, C++, or C#, and experience working in Linux environments.
• Methodology: Familiarity with data governance frameworks, SDLC, and Agile methodologies.
• Initiative: A self-starter who can work independently and collaboratively within a team.

Licensure/Certification Qualifications:

BS in Computer Science, Mathematics, Engineering, Information Technology, or related field

Preferred Qualifications:

• Experience with hybrid or virtual data lake platforms (Denodo, Dremio).
• Knowledge of big data file formats (ORC, Avro, Parquet).
• Hands-on experience with containerization (Docker) and orchestration tools (Kubernetes, VMware Tanzu, Google Anthos, Red Hat OpenShift, Rancher).

FTE:1

Possible Remote/Hybrid Option:

RemoteShift Rotation:Day Rotation (United States of America)

Shift Start Time:8:00

Shift End Time:4:30

Weekends:

Holidays:No

Call Obligation:No

Union:Union Posting Deadline: