Senior Healthcare Data Engineer

BerryDunn — Assurance, Tax and Consulting

Senior Healthcare Data Engineer developing end-to-end data management services for healthcare clients. Engaging in planning, analysis, and implementation of data integration and business intelligence solutions.

Posted 5/23/2026full-timeRemote • Maine • 🇺🇸 United StatesSenior💰 $85,000 - $125,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureETLPythonSQLTableau

About the role

Key responsibilities & impact

Engage in planning, analysis, design, and development of data management, data integration, data warehouse, and business intelligence solutions.
Engage in discussions with the team, clients, and project sponsors to determine project goals and set priorities.
Convert business and technical requirements into detailed data analysis and system design specifications.
Utilize database, programming, and ETL tools to implement and maintain data management and warehousing solutions, creating valuable data analytics assets for clients.
Work closely with clients and the BerryDunn team to analyze systems, gather requirements, map data pipelines, and assess data quality.
Conduct data quality analysis, investigate and resolve issues to ensure data integrity and accuracy.
Create and deliver reports and analytic applications using suitable business intelligence or custom tools to meet client needs.
Improve efficiency and reliability of client and BerryDunn data processes through innovative solutions and best practices.
Use Artificial Intelligence tools to enhance productivity and improve project deliverables.
Collaborate with other groups within BerryDunn to provide support for data and system analysis, data pipeline engineering, and data architecture.
Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.
Keep abreast of the latest trends and technologies in data engineering, healthcare analytics, and data science to ensure BerryDunn remains at the forefront of the industry.
Ensure all data solutions comply with industry standards, regulations, and security protocols, particularly those specific to healthcare.

Requirements

What you’ll need

A minimum of five years of experience in data engineering, database development, or data warehouse ETL development.
A minimum of five years of experience in gathering, analyzing, and defining business and system requirements.
Intermediate to advanced SQL and Python skills, with a proven ability to write complex queries and optimize database performance.
Experience with SAS and other technologies is a plus.
Experience with Amazon Web Services (AWS), Azure, and Snowflake.
Proficiency in data visualization tools such as Tableau, Power BI, or similar, with the ability to create insightful and actionable visual reports.
Experience in developing and consuming APIs for data integration and ensuring seamless data flow between systems.
Experience working in Agile/Scrum environments, with the ability to adapt to fast-paced, iterative development processes.
Knowledge of data security best practices, including encryption, access controls, and compliance with data privacy regulations (e.g., HIPAA).
Strong ability to analyze data with a focus on identifying and resolving data quality issues, ensuring data integrity and accuracy.
Demonstrated interest in developing a wide range of data analytics skills to be applied across multiple, diverse projects in a dynamic and changing environment.
A team-oriented mindset with a friendly and professional demeanor, coupled with the ability to remain flexible amid changing needs and priorities.
Ability to work effectively with coworkers and diverse clients through periods of both intense interaction and self-directed work.
Excellent written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Experience in managing projects or leading teams, with strong organizational skills and attention to detail.
Prior experience or familiarity with healthcare data standards, regulations, and practices is a plus.

Benefits

Comp & perks

Benefits that go beyond what’s expected to support their physical, mental, career, social, and financial well-being.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdatabase developmentdata warehouse ETL developmentSQLPythondata visualizationAPI developmentdata quality analysisdata integrationdata analytics

Soft Skills

team-oriented mindsetflexibilitycommunication skillsorganizational skillsmentorshipproblem-solvingcollaborationadaptabilityattention to detailcontinuous learning