Machinify - Senior Data Engineer
Requirements
• 5+ years in data engineering, including production ownership of the pipelines you built. • Strong SQL and Python. • Strong data modeling: canonical and dimensional design, conflicting sources, history, adjustments. You can explain why a model is shaped the way it is. • Production dbt and workflow orchestration (Airflow or similar). • Expertise with Snowflake and/or Databricks, Spark SQL experience • Data quality and CI/CD practices applied to data: validation and reconciliation, pull requests, automated tests, deployment automation. • Generalist range: you can take a broad, loosely defined problem and run it end to end across ingestion, modeling, infrastructure, APIs and operations, including incident response, and you onboard a new data source from discovery to delivery. • A record of extending or integrating existing tools and building things other teams use. • Quick, deep learning of complex domains: you ask why the data looks the way it does, and you verify AI-generated code and abstractions against ground truth. • Good intuition on how to leverage AI in development and automation in day-to-day engineering practices, understands how to leverage AI as a force multiplier for efficiency, and potential risk • Strongly Preferred: • Strongly Preferred: • Payment integrity experience, especially coordination of benefits and third-party liability (COB/TPL), cost avoidance, and Medicare Secondary Payer (MSP). Related areas such as post-pay audit, subrogation, overpayment recovery and claims editing are also of interest. • Healthcare claims data experience (837/835/UB-04, eligibility, member and provider data, DRG). • Experience building your own AI skills, MCP tools, and plugins • Large-scale batch file ingestion (SFTP and cloud storage, EDI X12, fixed-width, CSV/Parquet) and schema drift handling. • Automation: GitHub Actions, infrastructure-as-code, and turning recurring data operations into tested, repeatable workflows. • experience with Scala • Strong AWS experience. • BI exposure, such as semantic or cube modeling. • AI engineering: building your own agent tools, MCP servers, skills or plugins. • Spark performance tuning, data contracts and schema governance, HIPAA/PHI handling.
Responsibilities
• Design, build and operate reliable, automated data pipelines for health plan data. • Model complex, messy healthcare data into clear, trustworthy canonical and analytical models. • Bring legacy processes, pipelines and models over into a common platform, preserving the logic and behavior that already work. • Extend and integrate tools and workflows so other teams can adopt them. • Build in data quality and software engineering discipline: validation, automated testing, code review, CI/CD. • Document what you build and review AI-generated work critically.
Benefits
• Real impact — your pipelines will directly support decision-making and claims payment outcomes from day one. • High visibility — partner with ML, Product, Analytics, Platform, Operations, and Customer teams on critical data initiatives. • Total ownership — you’ll drive the lifecycle of core datasets powering our platform. • Customer-facing impact — you will directly contribute to successful customer onboarding and data integration. • Work from anywhere in the US! Machinify is digital-first. • Full Medical/Dental/Vision for employees & their families • Flexible and trusting environment where you’ll feel empowered to do your best work • Competitive salary, equity, 401(k) including employer match • The base salary range for this role is $180,000 - $220,000. • The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks. • Equal Employment Opportunity at Machinify • 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. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/
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