Remote Jobs USA, posted October 20, 2026

Senior Data Engineer: Remote Job USA, Work from Home

A hands-on senior data role with a mental health company, open to people anywhere in the United States. Think pipelines, a proper warehouse, and a team of clinicians and analysts waiting on the data.

  • Work from Home Jobs
  • WFH Jobs
  • Snowflake
  • Python and dbt
Apply on RecruiterForge
Experience4+ years as a Data Engineer
WhereRemote, United States
PayNot listed, benefits below
StatusOpen until Nov 19, 2026

About this remote job in the USA

A mental health company is hiring a Senior Data Engineer to build and scale the data infrastructure behind its products, analytics, research and clinical outcome measurement. It’s hands-on work, with ownership of cross-functional projects and some mentoring on the side. You’ll sit between clinicians, data scientists, analysts and product managers, so the pipelines you build feed real products and real research.

The listing is titled Remote (United States), which makes it a genuine work from home post for candidates based in the US. If you’ve been scanning remote jobs USA wide for a senior data role on a modern stack, this one names Snowflake, dbt, Airflow and Terraform outright, so read the requirements closely before you apply.

What you’ll be building and owning

  • Build and scale the core data infrastructure, pipelines and services that support products and business decisions
  • Design and implement a solid data warehouse for both analytical and operational use
  • Develop and maintain efficient pipelines and curated datasets
  • Gather requirements from stakeholders and turn them into technical solutions
  • Write production-ready code every day and take ownership of scalable data projects
  • Lead cross-functional initiatives and guide and mentor teammates

What a Senior Data Engineer needs to bring

  • Python
  • SQL
  • dbt
  • Airbyte
  • Fivetran
  • Change Data Capture
  • Apache Airflow
  • Snowflake
  • Snowpipe
  • Apache Iceberg
  • Sigma
  • Tableau
  • 4+ years of experience as a Data Engineer
  • Proven, high-quality, production-ready Python and scalable data projects delivered
  • Expertise in SQL-based data modeling and transformation frameworks like dbt, including schema management, performance and data governance
  • Strong experience configuring and deploying ingestion and integration tools such as Airbyte, commercial ELT pipelines such as Fivetran, and Change Data Capture
  • Hands-on experience building fault-tolerant Apache Airflow pipelines with custom alerting, advanced logging and automated retries
  • Experience with visualization and analytics tools such as Sigma or Tableau
  • Strong knowledge of Snowflake architecture, including Snowpipe ingestion and open table formats such as Apache Iceberg
  • Strong knowledge of Snowflake administration, security compliance, role-based access control, external authentication and downstream data consumption
  • End-to-end data quality assurance, regression testing and data validation
  • Ability to investigate data discrepancies and tune the performance of complex pipelines

Nice to have

  • Solid grounding in relational databases, data warehousing principles and dimensional modeling
  • Experience handling sensitive information, including PII or PHI, in healthcare or other regulated settings
  • Experience with data masking or redaction
  • Familiarity with DevOps principles and Terraform automation
  • Balancing engineering quality against tight deadlines
  • Strong communication and consensus-building, including turning complex technical problems into clear business priorities

Benefits and perks

  • Medical, dental, vision, life and disability insurance, with FSA and HSA options
  • Coaching and therapy services
  • Company equity through discretionary restricted stock units
  • Paid vacation, sick days and company holidays
  • Paid parental leave
  • 401(k) with up to 3% employer matching
  • Monthly technology allowance
  • Well-being perks, activities, company merchandise and community celebrations
  • Potential eligibility for discretionary bonuses

Before you apply

Salary isn’t shown in the posting, so it’s worth asking about compensation early in the process. The benefits package, on the other hand, is spelled out in detail and includes equity, a 401(k) match and mental health support.

Want more WFH Jobs to compare? The Remote Jobs USA page is updated with new openings all the time.

Ready to apply for the Senior Data Engineer job?

Applications close on November 19, 2026. Get your résumé in before then.

Apply on RecruiterForge Follow our WhatsApp channel More remote jobs USA

Questions people ask

Is this a fully remote job?

The listing is titled Remote (United States), so it’s a work from home role for people based in the US.

How much experience do I need?

At least 4 years as a Data Engineer, plus a track record of production-ready Python and scalable data projects.

Does the posting list a salary?

No. Pay isn’t mentioned, but the benefits are: health coverage, equity through restricted stock units, a 401(k) with up to 3% matching, a monthly technology allowance and possible bonuses.

Do I need healthcare experience?

It’s a preferred qualification, not a requirement. The company would like candidates who have handled PII or PHI in healthcare or similar regulated environments.

How do I apply?

Use the apply button on this page. It takes you to the RecruiterForge listing, where you can complete your application.