Data Engineer vs MLOps Engineer
Measured from each occupation's own live postings: mostly different jobs wearing similar names. Posted pay is close to a wash. Everything on this page is read from the two occupations’ own live postings and refreshed every night.
The short answer
On pay, this one is close to even. Postings that state a salary put data engineers at $61k–$135k and mlops engineers at $61k–$128k, so the midpoints sit within $4k of each other. The difference between the two jobs is in the work and the skills, not the paycheck.
On skills, they are mostly different jobs that happen to share a name or a hallway. The overlap is thin, which is often exactly why people search this pair. The readiness numbers further down say how far a typical profile on each side already reaches into the other, and which direction is the easier move.
Data Engineer
data engineer jobs · data engineer salary · data engineer career guide · careers for data engineers
MLOps Engineer
mlops engineer jobs · mlops engineer salary · mlops engineer career guide · careers for mlops engineers
Switching, both directions
Data Engineer → MLOps Engineer
What mlops engineer postings ask for that data engineer profiles usually lack: MLOps, LLMs / Generative AI, Kubernetes, Observability.
MLOps Engineer → Data Engineer
What data engineer postings ask for that mlops engineer profiles usually lack: SQL, Data Engineering, dbt, Airflow.
Open data engineer roles right now
The freshest data engineer openings on the board, from company career pages and remote boards. Apply at the source.
Data Engineer at ARKHOColombia · RemoteTodayApply
Data Engineer - Cloud & SaaS Integrations at DoiT InternationalUnited Kingdom · RemoteTodayApply
Senior Lead Data Engineer at Banner HealthUnited States · RemoteTodayApply- Senior Data Engineer at TemUnited Kingdom1d agoApply
Open mlops engineer roles right now
The freshest mlops engineer openings on the board. Same rules: live, tagged to the occupation, linking to the original posting.
MLOps Engineer (f/m/div.) at BoschGroupBraga, PT4d agoUnlock
MLOps Engineer at Sequoia ConnectMéxico1w agoApply
ML Infrastructure Engineer at WhitecircleParis1w agoApply
MLOps Engineer at Alta AresParis1w agoApply
See the whole board for both
634 live roles across the two, freshest first, with posted pay and remote flags where the posting states them.
Related comparisons
- Data Architect vs Data Engineer90% peak overlap
- Data Analyst vs Data Engineer62% peak overlap
- Data Engineer vs Database Administrator59% peak overlap
- Data Engineer vs Solutions Architect55% peak overlap
- MLOps Engineer vs Solutions Architect53% peak overlap
- BI Developer vs Data Engineer49% peak overlap
Which one do your skills favor?
Run the instrument with your own skill set and both readiness numbers recompute for you. Free, no account.
Quick answers
Which pays more, data engineer or mlops engineer?
On pay, this one is close to even. Postings that state a salary put data engineers at $61k–$135k and mlops engineers at $61k–$128k, so the midpoints sit within $4k of each other. The difference between the two jobs is in the work and the skills, not the paycheck. By seniority and country: data engineer salary and mlops engineer salary.
Are data engineer and mlops engineer the same job?
On skills, they are mostly different jobs that happen to share a name or a hallway. The overlap is thin, which is often exactly why people search this pair.
Can a data engineer become a mlops engineer?
Yes, and the numbers say how far along you already are: a typical data engineer profile covers 31% of what mlops engineer postings ask for. The instrument lists the exact skills that make up the rest.
Can a mlops engineer become a data engineer?
Going the other way, a typical mlops engineer profile covers 30% of what data engineer postings ask for.
How many data engineer and mlops engineer jobs are open right now?
Right now our board has 600 data engineer openings and 34 mlops engineer openings, each linking to the original posting. The board refreshes every night, so the counts move with the market. Hiring the most data engineers at the moment: AgileEngine (15), Bluelight (15), Name (8). For mlops engineers: Continental (3), Bright Vision Technologies (2), Getyourguide (2).
Method: each occupation’s salary band is the posted 25th to 75th percentile from its own corpus, counting only postings that state pay; readiness is coverage of the destination’s posting-skill weight; shared skills are read from the overlap waterfall. Pairs sharing too few skills are not scored in that direction. Job lists and counts are the live board. Refreshed with the nightly scrape.