Data Engineer 1

Data Engineer I

Freedman HealthCare LLC (FHC) is a growing Massachusetts-based consulting firm with a national

footprint. We have helped more than 25 states build and use healthcare data to improve care quality,

affordability, and equity. We aim to be the partner of choice for policymakers and changemakers who

use data to transform healthcare and promote health, wellbeing, and justice. Freedman HealthCare is an

entrepreneurial, fast-paced, and growing consultancy with a culture of teamwork, open communication,

and meeting exacting standards.

Job Summary:

The Data Engineer I plays a crucial role in extracting, analyzing, and interpreting complex data sets to

drive informed decisions to improve healthcare quality, affordability, and equity. You will be responsible

for designing, developing, and maintaining data pipelines, databases, and analytical frameworks. You

will collaborate with cross-functional teams, including health policy experts, analysts, and healthcare

stakeholders, to identify and address data-related challenges and opportunities.

Duties/ Responsibilities:

• Develop and maintain data pipelines, ETL processes, and workflows to collect, clean, and transform

data from various sources into usable formats

• Ensure data integrity, quality, and accuracy throughout the data processing lifecycle
• Analyze and interpret healthcare claims data and related data sets to identify patterns, trends, and

insights

• Generate reports, dashboards, and visualizations to communicate findings effectively to nontechnical stakeholders
• Design, develop, and maintain databases, data models, and schemas for efficient storage and

retrieval of data

• Collaborate with cross-functional teams to understand business requirements and translate them

into data solutions

• Stay up to date with emerging technologies, industry trends, and best practices in data analysis,

engineering, and visualization

• Identify opportunities to improve data infrastructure, processes, and analytics capabilities

Required Skills/Abilities:

• Knowledge of health data, multi-payer databases, public healthcare payers, claims processing, and

claims data analytics

• Knowledge of US healthcare policy, trends, and factors such as eligibility, utilization, cost, and equity
• Knowledge of state government role in healthcare
• Strong proficiency in data analysis and data visualization using tools such as SQL, Python, R, Excel, or

similar

• Proficiency in data profiling, manipulation, and transformation using tools like Pandas, SQL, or

similar

• Experience with data visualization tools like Tableau or Power BI
• Familiarity with data modeling, database management, and cloud-based data solutions (e.g., AWS,

Azure, Google Cloud)

• Solid understanding of statistical analysis, data mining, and machine learning concepts
• Excellent problem-solving, critical thinking, and analytical skills, with a keen attention to detail
• Strong communication and collaboration abilities, with the capacity to present complex findings in a

clear and concise manner

Education and Experience Requirements:

• Bachelor's or Master’s degree in healthcare administration, data science, statistics, or equivalent

work experience preferred

• 2+ years of experience as a data analyst in the healthcare industry, preferably in claims

Physical Requirements:

• Prolonged periods sitting at a desk and working on a computer

Note:

• Vaccination for COVID-19 is required and FHC will consider accommodations for disability- and

religious-based reasons.

• The job description provided above is a general outline and may be subject to modifications based

on specific organizational requirements.

Freedman HealthCare, LLC is an Equal Opportunity Employer. All qualified applicants will receive

consideration for employment without regard to age, race, color, religion, sex, sexual orientation,

gender identity, national origin, disability status, protected veteran status, or any other characteristic

protected by law. We strongly encourage applications and inquiries from women, LGBTQIA+ identified

persons, Black, Indigenous, People of Color, people with disabilities, and others from historically

underrepresented communities. We believe that embracing diversity in our workplace is essential to

achieving the best results for our clients and as an organization.