Lead Data Engineer

Job Details

Lead Data Engineer

Job Description

Job Summary

Lead Data Engineer will be leading development efforts for specific projects based on business needs, ensuring best practices in data management, and collaborating with cross-functional teams to support data-driven decision-making. They will be crucial in designing, developing, and deploying data ingestion processes and data products. Key responsibilities include mentoring junior engineers, automating data quality and validation, optimizing performance for efficient data management, conducting technical peer reviews, contributing to architectural improvements, driving the implementation of innovative data solutions, and ensuring seamless data integration across the enterprise.

Manager - 3-5 sentence statement generally describing the position (not bullet points). Please summarize job duties, scope at a high level.

Essential Functions

• Interacts with co-workers, visitors, and other staff consistent with the values of Jefferson.
• Implement secure data pipelines and data products.
• Troubleshoot and optimize data processes and queries.
• Ensure robust data governance, security, and data privacy practices.
• Translate business requirements into precise technical specifications.
• Participate in project planning, identifying milestones and resource needs.
• Collaborate with others as part of a cross-functional team.
• Work with the team to evaluate business needs and priorities.
• Ensure production operation and support.
• Mentor junior engineers.

Competencies (Knowledge, Skills, and Abilities Required) :

Problem solving

Communication skills

Analytics skills

Healthcare industry experience

Minimum Education and Experience Requirements :

Education :

Bachelor's degree (or foreign equivalent) in Computer Science, Information Technology, or a related field along

Experience :

5 years of experience in data engineering with an emphasis on data analytics.

5 years of experience with at least one of the following cloud platforms : Azure, AWS, GCP.

5 years of experience with big data technologies such as Synapse, Databricks.

5 years of experience with at least one of the following scripting languages : Python, SQL, PowerShell.

3 years of experience in leading data engineering and data warehousing.

Work Shift

Workday Day (United States of America)

Worker Sub Type

Regular

Primary Location Address

833 Chestnut Street, Philadelphia, Pennsylvania, United States of America

Nationally ranked, Jefferson, which is principally located in the greater Philadelphia region, Lehigh Valley and Northeastern Pennsylvania and southern New Jersey, is reimagining health care and higher education to create unparalleled value. Jefferson is more than 65,000 people strong, dedicated to providing the highest-quality, compassionate clinical care for patients; making our communities healthier and stronger; preparing tomorrow's professional leaders for 21st-century careers; and creating new knowledge through basic / programmatic, clinical and applied research. Thomas Jefferson University, home of Sidney Kimmel Medical College, Jefferson College of Nursing, and the Kanbar College of Design, Engineering and Commerce, dates back to 1824 and today comprises 10 colleges and three schools offering 200 undergraduate and graduate programs to more than 8,300 students. Jefferson Health, nationally ranked as one of the top 15 not-for-profit health care systems in the country and the largest provider in the Philadelphia and Lehigh Valley areas, serves patients through millions of encounters each year at 32 hospitals campuses and more than 700 outpatient and urgent care locations throughout the region. Jefferson Health Plans is a not-for-profit managed health care organization providing a broad range of health coverage options in Pennsylvania and New Jersey for more than 35 years.

Jefferson is committed to providing equal educational and employment opportunities for all persons without regard to age, race, color, religion, creed, sexual orientation, gender, gender identity, marital status, pregnancy, national origin, ancestry, citizenship, military status, veteran status, handicap or disability or any other protected group or status.