Senior Data Engineer Machinify · Remote · US · Data Engineering $180,000–$220,000 8mo ago

Dataroles; Northern (KY); Hybrid; USD 180,000 - 220,000; Full time

Benefits offered by this job

Work from anywhere (US)

Healthcare benefits

Unlimited PTO

Equity

401(k) with employer match

Job summary

Machinify is seeking a Senior Data Engineer to transform raw external data into trusted datasets powering payment and product decisions. You’ll build and scale production pipelines, onboard new customers, and ensure data accuracy, observability, and performance across healthcare data streams.

You will work with Product, Data Scientists, Engineers, SMEs, and Account Managers to deliver end-to-end data solutions and contribute to the evolution of the data platform in a fast-moving environment.

Qualifications

• 6+ years of experience as a Data Engineer (or equivalent).
• Strong expertise in Python, Spark SQL, and Airflow.
• Experience building production-grade data pipelines and processing large-scale datasets.
• Experience onboarding external customers and integrating diverse data sources.
• Familiarity with cloud platforms (AWS) and distributed computing concepts.
• Excellent communication skills and ability to collaborate across teams.

Responsibilities

• Design and implement robust production-grade data pipelines using Python, Spark SQL, and Airflow.
• Canonize raw healthcare data into internal models and schemas.
• Own end-to-end lifecycle of pipelines from ingestion to queryable datasets.
• Onboard new customers by integrating external data into internal pipelines and models.
• Build data quality checks, observability, and automated validation layers.
• Refactor and scale pipelines to meet growing data needs and performance targets.
• Collaborate with Data Analysts, Data Scientists, PMs, and SMEs to align with business needs.
• Monitor pipeline health and participate in on-call rotations to resolve issues.
• Develop streaming pipelines (Kafka, SQS) for near-real-time data when needed.
• Contribute to best practices in data modeling and pipeline development.

Skills

Python

Spark SQL

Airflow

Data pipelines

Cloud (AWS)

Healthcare data

Onboarding customers

Cross-functional collaboration

Data quality & observability

Kafka

SQS

Tools

Kafka

SQS

Job description

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. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. 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.

As a Senior Data Engineer, you’ll be at the heart of transformingraw external data into powerful, trusted datasetsthat drive payment, product, and operational decisions.You’llwork closely withproduct managers, data scientists, subject matter experts, engineers, and customer teamstobuild, scale, and refine production pipelines— ensuring data isaccurate, observable, and actionable.
You'll also play a critical role inonboarding new customers, integrating their raw data into ourinternal models. Your pipelines will directly power the company’sML 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.

What You’ll Do

• 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 tovalidated,queryabledatasets — 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 andoptimizedistributed processing performance.

• Implementschema 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,participatein 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.

What You Bring

• 6+ years of experience as a Data Engineer (or equivalent), building production-grade pipelines.

• Strongexpertisein 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 data into canonical models.

• Familiarity with AWS (or any cloud), including file storage and distributed compute concepts.

• Experience onboarding new customers and integrating external customer data with non-standard formats.

• Ability to work across teams, manage priorities, and own complex data workflows with minimal supervision.

• Strong written and verbal communication skills — able to explain technical concepts to non-engineering partners.

• Comfortable designing pipelines from scratch and improving existing pipelines.

• Experience working with large-scale or messy datasets (healthcare, financial, logs, etc).

• Experience building or willingness to learn streaming pipelines using tools such as Kafka or SQS.

• Bonus: Familiarity with healthcare data (837, 835, EHR, UB04, claims normalization).

Why Join Us

• 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’lldrive the lifecycle of core datasets powering our platform.

Customer-facing impact— you will directly contribute to successfulcustomer onboardingand data integration.

What We Offer

• Workfrom anywhere in the US!Machinifyis digital-first.

• Full Medical/Dental/Vision for employees & their families

• Flexible and trusting environment whereyou’llfeel empowered to do your best work

• Unlimited FTO

• Competitive salary, equity, 401(k) including employer match

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. The base salary range for this role is $180k-$220k. 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/