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Senior Healthcare Data Engineer

BerryDunn -
Remote

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Job Details

Full-time
$85,000 - $125,000 a year

Qualifications

Cloud analytics services
Data visualization software proficiency
Requirements design
Cloud data warehouses
Managing projects in an engineering role
Business intelligence report generation
Snowflake
Information security
SQL
Data-driven problem-solving
System requirements definition
Agile software development
Analysis (software development lifecycle)
Query management
Data visualization projects
Python
Agile planning
Data analysis software

Full Job Description

Overview

BerryDunn’s Healthcare Analytics Practice Group is looking for a Senior Healthcare Data Engineer to join and grow with our practice. Our Data Management and Strategy Practice provides end-to-end data management services to clients across public and private sectors. This position is an attractive opportunity if you’re looking to pivot into the consulting space and have a strong interest in developing a wide range of skills and expertise in healthcare data management and analytics. You can expect a range of projects including, but not limited to:

Enterprise data management advisory
Data quality and system analysis
Business requirements solicitation and analysis
Designing and building data pipelines, warehouses, data integration, and business intelligence solutions.

You can be in-office in either Portland, ME or Manchester, NH or potentially remote

You Will

Contribute to all aspects of the Systems Development Lifecycle: Engage in planning, analysis, design, and development of data management, data integration, data warehouse, and business intelligence solutions.
Participate in Goal Setting: Engage in discussions with the team, clients, and project sponsors to determine project goals and set priorities.
Translate Requirements: Convert business and technical requirements into detailed data analysis and system design specifications.
Implement and Maintain Data and Analytic Solutions: Utilize database, programming, and ETL tools to implement and maintain data management and warehousing solutions, creating valuable data analytics assets for clients.
Collaborate with Interested Parties: Work closely with clients and the BerryDunn team to analyze systems, gather requirements, map data pipelines, and assess data quality.
Ensure Data Quality: Conduct data quality analysis, investigate and resolve issues to ensure data integrity and accuracy.
Develop Reports and Analytics: Create and deliver reports and analytic applications using suitable business intelligence or custom tools to meet client needs.
Optimize Processes: Improve efficiency and reliability of client and BerryDunn data processes through innovative solutions and best practices.
Leverage AI: Use Artificial Intelligence tools to enhance productivity and improve project deliverables.
Support Cross-Functional Teams: Collaborate with other groups within BerryDunn to provide support for data and system analysis, data pipeline engineering, and data architecture.
Mentor and Lead: Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.
Stay Current with Industry Trends: 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 Compliance and Security: Ensure all data solutions comply with industry standards, regulations, and security protocols, particularly those specific to healthcare.

You Have

Extensive Data Engineering Experience: A minimum of five years of experience in data engineering, database development, or data warehouse ETL development.
Business and System Analysis: A minimum of five years of experience in gathering, analyzing, and defining business and system requirements.
Programming Proficiency: 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.
Cloud Technologies: Experience with Amazon Web Services (AWS), Azure, and Snowflake.
Data Visualization: Proficiency in data visualization tools such as Tableau, Power BI, or similar, with the ability to create insightful and actionable visual reports.
API Integration: Experience in developing and consuming APIs for data integration and ensuring seamless data flow between systems.
Agile Methodologies: Experience working in Agile/Scrum environments, with the ability to adapt to fast-paced, iterative development processes.
Security Best Practices: Knowledge of data security best practices, including encryption, access controls, and compliance with data privacy regulations (e.g., HIPAA).
Data Quality Expertise: Strong ability to analyze data with a focus on identifying and resolving data quality issues, ensuring data integrity and accuracy.
Analytical and Problem-Solving Skills: Demonstrated interest in developing a wide range of data analytics skills to be applied across multiple, diverse projects in a dynamic and changing environment.
Team Orientation: A team-oriented mindset with a friendly and professional demeanor, coupled with the ability to remain flexible amid changing needs and priorities.
Collaboration Skills: Ability to work effectively with coworkers and diverse clients through periods of both intense interaction and self-directed work.
Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Project Management Abilities: Experience in managing projects or leading teams, with strong organizational skills and attention to detail.
Healthcare Knowledge: Prior experience or familiarity with healthcare data standards, regulations, and practices is a plus.
Educational Background: A bachelor's degree in computer science, mathematics, statistics, economics, engineering, or another discipline with substantial quantitative coursework. Advanced degrees or relevant certifications are a plus.

Preferred Qualifications:

Healthcare claims data experience.
Experience working for or directly with a Medicaid agency.
Basic understanding of machine learning concepts and experience with implementing machine learning models.
Ability to support work in multiple time zones, as needed.

We welcome professionals at various experience levels to apply. Level of hire will be commensurate with experience level.

Compensation Details

The base salary range targeted for this role is $85,000 to $125,000. This salary range represents BerryDunn’s good faith and reasonable estimate of the range of possible compensation at the time of posting. If an applicant possesses experience, education, or other qualifications in excess of the minimum requirements for this posting, that applicant is encouraged to apply and a final salary range may then be based on those additional qualifications; compensation decisions are dependent on the facts and circumstances of each case. The salary of the finalist selected for this role will be based on a variety of factors, including but not limited to, years of experience, depth of experience, seniority, merit, education, training, amount of travel, and other relevant business considerations.

BerryDunn Benefits & Culture

Our people are what make BerryDunn special, and in return we strive to support our employees and help them thrive. Eligible employees have access to benefits that go beyond what’s expected to support their physical, mental, career, social, and financial well-being. Visit our website for a complete list of benefits and a look into our culture: Experience BerryDunn.

We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process or perform essential job functions. Please contact [email protected] to request an accommodation.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

About BerryDunn

BerryDunn is the brand name under which Berry, Dunn, McNeil & Parker, LLC and BDMP Assurance, LLP, independently owned entities, provide services. Since 1974, BerryDunn has helped businesses, nonprofits, and government agencies throughout the US and its territories solve their greatest challenges. The firm’s tax, advisory, and consulting services are provided by Berry, Dunn, McNeil & Parker, LLC, and its attest services are provided by BDMP Assurance, LLP, a licensed CPA firm.

BerryDunn is a client-centered, people-first professional services firm with a mission to empower the meaningful growth of our people, clients, and communities. Led by CEO Sarah Belliveau, the firm has been recognized for its efforts in creating a diverse and inclusive workplace culture, and for its focus on learning, development, and well-being. Learn more at berrydunn.com.

#BD_CT

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senior system integration engineer jobs in remote

Senior Healthcare Data Engineer

Data Engineer

Data Engineer

Junior Developer

Design Engineer, Web

Quality Assurance Engineer

Software Developer (Junior)

Senior Software Engineer (Backend)

Senior IT Systems Engineer

Sr. Manager, Project Management - Implementations

Senior Turbine Support Engineer/ GE Steam Turbine Specialist

Senior O&M Field Substation Engineer

Automation Engineer -Senior

Automation Engineer -Senior

Traveling (50%) Senior Controls Engineer.

Forward Deployed Engineer (Secret Cleared)

Sr. Embedded Security Engineer

Automation Engineer

Senior Data Engineer (Microsoft Fabric & Power BI)

CCaaS Implementation Engineer, AI.bot focus

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