Senior Data Engineer – Remote, High-Impact Pipelines

Machinify; Oregon; Hybrid; USD 180,000 - 220,000; Full time

Benefits offered by this job

Work from anywhere in the US

Health benefits

Flexible environment

Unlimited PTO

401(k) including match

Job summary

Machinify is a leading healthcare intelligence company delivering value across the payment continuum. As a Senior Data Engineer, you will transform raw external data into trusted datasets powering payment, product, and operational decisions.

You’ll design production pipelines with Python, Spark SQL, and Airflow, canonicalize healthcare data, onboard customers, ensure data quality and observability, and collaborate with cross-functional teams to scale our data platform.

Qualifications

• 6+ years of experience as a Data Engineer building production-grade pipelines.
• Strong expertise in Python, Spark SQL, and Airflow.
• Experience processing large-scale file-based datasets in production environments.
• Experience mapping and standardizing raw external data into canonical models.
• Familiarity with AWS and distributed compute concepts.

Responsibilities

• Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow to process high-volume file-based datasets (CSV, Parquet, JSON).
• Lead efforts to canonicalize raw healthcare data (837 claims, EHR, partner data, flat files) into internal models.
• Own the full lifecycle of core pipelines — from file ingestion to validated, queryable datasets — ensuring high reliability and performance.
• 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.
• Build resilient, idempotent transformation logic with data quality checks, validation layers, and observability.
• Refactor and scale existing pipelines to meet growing data and business needs.
• 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.
• Monitor pipeline health, participate in on-call rotations, and proactively debug and resolve production data flow issues.
• Contribute to the evolution of our data platform — driving toward mature patterns in observability, testing, and automation.
• 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.

Skills

6+ years experience

Python

Spark SQL

Airflow

Data quality

Cross-team collaboration

Tools

AWS

Distributed compute

Parquet/CSV/JSON processing

Job description

Machinify is a leading healthcare intelligence company delivering value across the payment continuum. As a Senior Data Engineer, you will transform raw external data into trusted datasets powering payment, product, and operational decisions.

You’ll design production pipelines with Python, Spark SQL, and Airflow, canonicalize healthcare data, onboard customers, ensure data quality and observability, and collaborate with cross-functional teams to scale our data platform.