Job description

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.

Requirements

Must-haves

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.
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.
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
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

Nice-to-haves

work experience preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonawsazuremachine learning

Platform: bamboohr
Effort: medium