Machinify

Senior Data Engineer

Remote - US · Senior

Sponsorship not specifiedDetected 113 days ago

PythonSQLKafkaMachine LearningSparkAirflowEHR/EMR

About the role

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country.
Your pipelines will directly power the company's ML models, dashboards, and core product experiences.
If you enjoy owning end-to-end workflows, shaping data standards, and driving impact in a fast-moving environment, this is your opportunity.

Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow to process high-volume file-based datasets (CSV, Parquet, JSON).
Own the full lifecycle of core pipelines - from file ingestion to validated, queryable datasets - ensuring high reliability and performance.
collaborate with SMEs, Account Managers, and Product to ensure successful implementation and troubleshooting.
Build resilient, idempotent transformation logic with data quality checks, validation layers, and observability.
Tune Spark jobs and optimize distributed processing performance.
Implement schema enforcement and versioning aligned with internal data standards.
Collaborate deeply with Data Analysts, Data Scientists, Product Managers, Engineering, Platform, SMEs, and AMs to ensure pipelines meet evolving business needs.
Build and enhance streaming pipelines (Kafka, SQS, or similar) where needed to support near-real-time data needs.
Help develop and champion internal best practices around pipeline development and data modeling.
As a Senior Data Engineer, you'll be at the heart of transforming raw external data into powerful, trusted datasets that drive payment, product, and operational decisions.

6+ years of experience as a Data Engineer (or equivalent), building production-grade pipelines.
Strong expertise in Python, Spark SQL, and Airflow.
Experience processing large-scale file-based datasets (CSV, Parquet, JSON, etc) in production environments.
Experience mapping and standardizing raw external da

We're constantly reimagining what's possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
Lead efforts to canonicalize raw healthcare data (837 claims, EHR, partner data, flat files) into internal models.
Monitor pipeline health, participate in on-call rotations, and proactively debug and resolve production data flow issues.

Onboard new customers by integrating their raw data into internal pipelines and canonical models
Onboard new customers by integrating their raw data into internal pipelines and canonical models; collaborate with SMEs, Account Managers, and Product to ensure successful implementation and troubleshooting.
You'll also play a critical role in onboarding new customers, integrating their raw data into our internal models.

This listing is sourced directly from Machinify's careers page and normalized into a canonical job model.