About the role
This is a full-time, fully remote Data Engineer position paying $128,000 a year, open to applicants anywhere. The team sits inside the Data & Analytics group and runs mostly asynchronously, with one standing overlap window each week for planning. Among the remote data engineer jobs posted lately, this one puts the pay and requirements in the listing itself rather than saving them for a call later.
Because the location is simply listed as anywhere, it falls into the small set of data engineer jobs worldwide that aren't tied to a country, as long as a candidate's working hours overlap enough to coordinate daily with the rest of the team.
What you'll do
Day-to-day, the job centers on keeping pipelines running and ensuring the people downstream can trust what comes out of them.
- Design, build, and maintain data pipelines and warehouses that feed reporting and analysis.
- Catch and fix pipeline failures before they hold up the data scientists and analysts waiting on that output.
- Structure and document datasets so people outside the data team can query them without having to ask for help every time.
- Review and rework older ETL jobs as data volume and new sources get added.
Required skills
- SQL at a level that includes complex joins and query tuning, not just basic selects.
- Python for scripting and pipeline logic.
- Hands-on experience with at least one cloud data platform, such as AWS, GCP, or Azure.
- Working knowledge of data warehousing concepts and schema design.
- Comfort with Spark or a comparable big data processing tool.
- A solid grasp of database design.
Nice to have
None of the following are required. Any of them will move an application closer to the top of the pile.
- Experience with Airflow or a similar orchestration tool.
- Exposure to dbt for transformation work.
- A cloud certification, such as AWS Certified Data Analytics or Google's Professional Data Engineer credential.
- Time spent at a smaller company where the data stack was still being built rather than inherited.
Qualifications and background
A bachelor's degree is the baseline for this role. The listing doesn't specify a field, but computer science, data engineering, or a related area is the usual route into this kind of work. Candidates should bring at least 30 months of hands-on experience designing and maintaining data pipelines. For someone trying to figure out how to become a remote data engineer, that's roughly the point where a portfolio of shipped pipeline work starts to matter more than a transcript.
This posting is handled by Naukri Mitra on behalf of the hiring company, and applications are reviewed as they arrive rather than in a batch at the end.
Team and day-to-day reality
Pipelines break, usually not on a convenient schedule, and part of the job is triaging those breaks fast enough that analysts downstream don't lose a workday to bad data. The data team on this project is small, so a new hire is expected to read the existing pipeline code and work out its logic without many walkthroughs. The on-call load isn't heavy. Most weeks it doesn't come up at all, but when it does, response time matters more than polish.
Compensation and benefits
The role pays $128,000 a year in USD on a full-time basis. Anyone lining up data engineer remote salary numbers across postings will find this one sits toward the higher end for a role with a 30-month experience bar.
- Health insurance
- Paid time off
- 401(k) matching
- Remote-work flexibility, with no office to report to
- An employee assistance program covering mental health and general wellbeing support
Applying
Submit a resume along with two or three pipeline projects that show real production experience rather than coursework exercises. If a take-home exercise is part of the process, it's scoped to a few hours, not a weekend. Because this is a work-from-home data engineer job listing with no office logistics to sort out, most of the process happens over email, a couple of video calls, and a decision typically follows within two to three weeks of applying.
