Data Engineer I

at Machinify, Inc.
🇺🇸 United States - Remote
📊 Data🟢 Entry Level

Job description

Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.

Why This Role Matters

As a Data Engineer I, you’ll join a fast-paced, high-impact team focused on building scalable, reliable data systems that power our core AI-driven platform. You’ll work side-by-side with senior engineers, product managers, and data scientists to help ingest, standardize, and deliver data that drives critical healthcare and payment decisions.

You’ll play a hands-on role in turning messy, complex external data into structured, trustworthy datasets — learning best practices for data modeling, pipeline development, and production operations. This is a high-growth opportunity for someone who is curious, driven, and excited to learn the ropes of real-world data engineering.

What You’ll Do

  • Build and maintain scalable data pipelines using Python, Spark SQL, and Airflow.

  • Assist in onboarding new customers by helping transform their raw files (CSV, JSON, Parquet) into internal formats.

  • Collaborate with senior engineers to improve data quality, observability, and reusability.

  • Learn how to standardize external healthcare data (837 claims, EHR, etc.) into canonical internal models.

  • Monitor and debug data pipeline issues with support from senior engineers.

  • Work closely with analysts, scientists, and product managers to understand data requirements and business context.

  • Participate in code reviews, design discussions, and debugging sessions.

  • Contribute to documentation and internal tooling to improve team productivity.

  • Grow your understanding of domain models, data contracts, and business context.

  • Grow into owning workflows end-to-end, improving performance, and contributing to architectural decisions.

What You Bring

  • Are a recent grad (BS/MS in CS, Data Engineering, or related field) or early-career engineer with 0–3 years of industry experience.

  • Strong programming fundamentals and proficiency in Python.

  • Exposure to SQL and a desire to work with large datasets.

  • Curiosity about real-world data problems, particularly those involving messy, complex data.

  • Hunger to learn — you enjoy getting into the weeds, asking good questions, and figuring things out.

  • Solid communication skills — able to collaborate effectively with both technical and non-technical partners.

  • Attention to detail and a strong sense of ownership.

Bonus Points

  • Prior internship or co-op in data engineering, analytics, or infra roles.

  • Experience with cloud platforms like AWS, GCP, or Azure.

  • Exposure to version control (e.g., Git), Docker, or CI/CD.

  • Familiarity with distributed data processing (Spark, Hadoop, etc.)

  • Contributions to open-source, side projects, or technical blogs.

Why Join Us

  • Mentorship & Growth: Learn from senior engineers, with opportunities for rapid growth.

  • Mission-driven — Help shape the future of AI-powered decision-making in healthcare.

  • Impact from Day One: Real ownership. Real systems. Real users.

If you’re looking to kick-start your career in data engineering and want to work on real problems with real impact — let’s talk.

Equal Employment Opportunity at Machinify

Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.

Share this job:
Please let Machinify, Inc. know you found this job on Remote First Jobs 🙏

Similar Remote Jobs

Benefits of using Remote First Jobs

Discover Hidden Jobs

Unique jobs you won't find on other job boards.

Advanced Filters

Filter by category, benefits, seniority, and more.

Priority Job Alerts

Get timely alerts for new job openings every day.

Manage Your Job Hunt

Save jobs you like and keep a simple list of your applications.

Search remote, work from home, 100% online jobs

We help you connect with top remote-first companies.

Search jobs

Hiring remote talent? Post a job

Frequently Asked Questions

What makes Remote First Jobs different from other job boards?

Unlike other job boards that only show jobs from companies that pay to post, we actively scan over 20,000 companies to find remote positions. This means you get access to thousands more jobs, including ones from companies that don't typically post on traditional job boards. Our platform is dedicated to fully remote positions, focusing on companies that have adopted remote work as their standard practice.

How often are new jobs added?

New jobs are constantly being added as our system checks company websites every day. We process thousands of jobs daily to ensure you have access to the most up-to-date remote job listings. Our algorithms scan over 20,000 different sources daily, adding jobs to the board the moment they appear.

Can I trust the job listings on Remote First Jobs?

Yes! We verify all job listings and companies to ensure they're legitimate. Our system automatically filters out spam, junk, and fake jobs to ensure you only see real remote opportunities.

Can I suggest companies to be added to your search?

Yes! We're always looking to expand our listings and appreciate suggestions from our community. If you know of companies offering remote positions that should be included in our search, please let us know. We actively work to increase our coverage of remote job opportunities.

How do I apply for jobs?

When you find a job you're interested in, simply click the 'Apply Now' button on the job listing. This will take you directly to the company's application page. We kindly ask you to mention that you found the position through Remote First Jobs when applying, as it helps us grow and improve our service 🙏

Apply