Data Engineer — Remote Jobs USA
GrabJobs is hiring a Data Engineer for a fully remote, work from home job open across the United States. This WFH job pays $150,000–$165,000/year and sits inside our Remote Jobs USA listings for pipeline, ETL, and analytics-infrastructure talent.
This Data Engineer opening is one of the standout Remote Jobs USA postings this cycle — a real work from home job at $150K–$165K, built for engineers who want a serious WFH job on modern pipeline tooling instead of another one-off contract.
About GrabJobs
GrabJobs is an innovative and rapidly growing technology company transforming the employment landscape through AI-driven recruitment solutions. The platform connects talented professionals with leading organizations across industries, with a focus on inclusive and equitable hiring, streamlined processes, and workforce diversity — all powered by a collaborative, remote-first, work from home culture.
About the Role
GrabJobs’ expanding analytics team is looking for a skilled, proactive Data Engineer to work at the forefront of data infrastructure development. You’ll collaborate closely with the Data Engineering lead to design, build, and maintain scalable ingestion and transformation pipelines using Dagster (or Airflow), dbt, and Snowflake — with supporting work in Python, Airbyte, and AWS. This Remote Jobs USA role directly impacts data quality, operational efficiency, and strategic decision-making.
You’ll develop new data models, optimize existing workflows, and keep critical data flows stable — especially the daily Postgres-to-Snowflake transfer and third-party API integrations — while maintaining code quality through reviewable pull requests and strong testing practices. This is a full-time, fully remote, work from home position for a detail-oriented data professional.
Qualifications
Core Experience
Strong data warehousing fundamentals — relational database concepts, schema design, and slowly changing dimensions. Practical orchestration experience with Dagster or Airflow beyond simple SQL scheduling.
Technical Skills
Hands-on dbt (models, tests, documentation), strong Python for large-scale data flows, AWS (S3, IAM, ECS/Fargate), and experience with extract-and-load tools like Airbyte.
Working Style
Disciplined PR practices, a reliability mindset around pipeline health and idempotency, and strong cross-functional collaboration and communication skills.
Education
Bachelor’s degree in Computer Science, Data Engineering, or a related field — or equivalent practical experience.
Responsibilities
Benefits
Apply for this Remote Jobs USA opening
Fully remote · Work from home anywhere in the United States · $150K–$165K/year
Apply Now — Data EngineerFAQs — Data Engineer Remote Job
Is this Data Engineer role fully remote in the USA?
Yes. GrabJobs offers a fully remote, work from home position open to candidates across the United States — a genuine WFH job under our Remote Jobs USA category, with no relocation required.
What salary does this remote job in the USA pay?
The Data Engineer position pays between $150,000 and $165,000 per year, plus equity and performance bonuses — one of the stronger work from home jobs currently listed in our Remote Jobs USA section.
What tools should I know for this WFH job?
Dagster or Airflow, dbt, Snowflake, Python, Airbyte, AWS (S3, IAM, ECS/Fargate), and Terraform are the core tools GrabJobs is looking for in this remote data engineering role.
Do I need a specific degree for this remote data engineering job?
A bachelor’s degree in Computer Science, Data Engineering, or a related field is preferred, though equivalent practical experience with pipelines, orchestration, and cloud infrastructure is accepted.
Where can I find more remote jobs and WFH jobs like this?
Explore more Remote Jobs USA listings on our Remote Jobs USA page, or join our WhatsApp channel for daily work from home job alerts.
