Data Engineer

Freedman HealthCare LLC

Data Engineer I at Freedman HealthCare responsible for data pipelines and collaboration with health policy experts. Analyzing healthcare claims data to drive informed decisions on care quality.

Posted 7/2/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $80,353 - $96,424 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, visualization, and healthcare claims data, with a strong focus on data integrity and quality. Proficient in developing data pipelines and collaborating with cross-functional teams to deliver actionable insights.

Highest-signal resume keywords

Data AnalysisData VisualizationHealthcare Claims DataSQL ProficiencyStatistical Analysis

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DevelopmentETL ProcessesData ModelingData ProfilingData ManipulationMachine Learning ConceptsData TransformationDatabase ManagementData MiningData Quality Assurance

Soft Skills

Problem-SolvingCritical ThinkingAttention to DetailCommunicationCollaboration

Tools & Technologies

SQLPythonRExcelTableauPower BIPandasAWSAzureGoogle Cloud

Industry Keywords

Healthcare AdministrationClaims ProcessingMulti-Payer DatabasesUS Healthcare PolicyData AnalyticsPublic Healthcare PayersEligibilityUtilizationCostEquity

Tech Stack

Tools & technologies

AWSAzureCloudETLPandasPythonSQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
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.

Benefits

Comp & perks

Vaccination for COVID-19 is required and FHC will consider accommodations for disability- and religious-based reasons.