Healthcare Data Engineer

BerryDunn • Portland, ME

1d • $70,000 - $110,000

About The Position

BerryDunn’s Healthcare Analytics Practice Group is seeking a Healthcare Data Engineer to join its Healthcare Data Management and Strategy Practice, which provides end-to-end data management services to government and private clients. The role offers a variety of healthcare analytics projects, including enterprise data management strategy, data quality and system analysis, development of data integration, warehousing, business intelligence and reporting solutions, and analytical work. It may suit someone interested in moving into consulting and building expertise across healthcare data management and analytics.

The position may be office-based in Portland, Maine; Manchester, New Hampshire; Waltham, Massachusetts; New Haven, Connecticut; or Honolulu, Hawaii, or remote, with a preference for office-based work. The targeted base salary range is $70,000 to $110,000. Final compensation depends on factors such as experience, education, seniority, merit, training, travel, and other relevant business considerations. Eligible employees have access to benefits intended to support physical, mental, career, social, and financial well-being; the posting refers applicants to the company website for the complete benefits list. BerryDunn describes itself as a client-centered, people-first professional services firm focused on meaningful growth, diversity and inclusion, learning, development, and well-being.

Requirements

• Two to four years of experience with data engineering or ETL development.
• Strong SQL skills and experience working with relational databases.
• Experience analyzing, transforming, validating, and troubleshooting complex datasets.
• Experience with business intelligence and reporting tools such as Tableau or Power BI.
• Experience defining business requirements.
• Knowledge of cloud-based databases and platforms.
• A bachelor’s degree in computer science, mathematics, statistics, economics, engineering, or another discipline with substantial quantitative coursework.
• Interest in developing a wide range of data analytics skills to apply across diverse projects in a changing environment.
• Attention to detail and critical-thinking skills.
• Strong oral and written communication skills.
• A team orientation, friendly and professional demeanor, and ability to remain flexible amid changing needs.
• Ability to work with coworkers and diverse clients through periods of intense interaction and self-directed work.

Nice To Haves

• Experience with healthcare payers, Medicaid, public health, or human and health services data is strongly preferred.
• Experience developing cloud-based infrastructure and APIs is a plus.
• Python experience is preferred but not required.
• SAS experience is preferred but not required.

Responsibilities

• Contribute to planning, analysis, design, and development of data management, data integration, data warehouse, and business intelligence solutions.
• Use database, analytic programming, and ETL tools to implement and maintain data management and warehousing solutions and create data analytics assets for clients.
• Work with clients and BerryDunn team members to analyze systems, gather requirements, map data pipelines, and assess data quality.
• Perform data quality analysis and investigate and resolve unusual findings.
• Translate business and technical requirements into data analysis and management plan specifications.
• Develop and deliver reports and analytic applications using suitable business intelligence or custom tools to meet client needs.
• Participate in discussions to determine goals and priorities with the team, clients, or project sponsors.
• Improve the efficiency and reliability of client and BerryDunn data processes.
• Support other BerryDunn groups with system analysis, data pipeline engineering, and data architecture.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level