Lead Analytics Engineer - Data Modeling & Quality
New
J
JobgetherHealthcare Data
Flexible remote work environment within the United StatesFull-TimeLead
Salary160,000 - 185,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Required Skills
- AWSPythonSQLGitSparkData modelingdbt
Requirements
- Bachelor's or Master's degree in Computer Science, Statistics, Business, Economics, or related discipline.
- Strong command of SQL, including window functions, complex CTEs, and performance tuning.
- Hands-on experience building DBT models, tests, macros, and YAML documentation.
- Working knowledge of healthcare claims (professional, institutional, pharmacy) and EHR data.
- Understanding of healthcare data-quality dimensions and coding systems like ICD-10, CPT, and LOINC.
- Experience with Spark SQL and Hudi table formats.
- Familiarity with data quality monitoring tools and automated validation frameworks.
- Technical toolkit proficiency including AWS Athena, Airflow, Git/GitHub, and Jira.
- Python scripting experience for automation and investigation.
- Strong analytical judgment with the ability to identify anomalies and assess data patterns.
- Excellent communication skills for translating technical findings to non-technical stakeholders.
- Proven ability to manage multiple projects, prioritize effectively, and work independently.
Responsibilities
- Author, review, refactor, and maintain DBT models across ingestion, bronze, and silver layers.
- Develop DBT tests and validation checks to proactively identify data quality issues.
- Investigate slow-running jobs and optimize SQL performance and Hudi table designs.
- Triage data quality, attribution, and hierarchy alerts to identify root causes.
- Design and maintain volume and quality monitors for clinical and claims datasets.
- Apply clinical and claims validation rules to assess data completeness and consistency.
- Lead data quality reviews during UAT-to-production transitions.
- Partner with Data Engineering and Customer Success to resolve client-facing data issues.
- Contribute to and enforce consistent modeling standards across teams.
- Incorporate AI tools into workflows to improve development and operational efficiency.
View Full Description & ApplyYou'll be redirected to the employer's site
