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SWE Bench: Data Engineer/Data Scientist

Pay
Pay not stated
Open to
  • India
  • Pakistan
  • Nigeria
  • Kenya
  • Egypt
  • Ghana
  • Bangladesh
  • Türkiye
  • Brazil
  • Mexico
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Skills
  • python
  • data engineering
  • data science
  • data pipelines
  • machine learning

What you'll do

Most SWE Bench work is about fixing bugs in software repositories. This strand is different: the benchmark tasks are real data engineering and data science problems, with production-like datasets, pipelines and modelling code, and you help design and check them.

  • Work with structured and unstructured data for SWE Bench style evaluation tasks
  • Design, build and validate data pipelines used in benchmarking
  • Process and analyse data, prepare features and validate results for data science use cases
  • Write, run and modify Python code locally to support experiments
  • Check data quality, transformations and outputs for correctness and reproducibility
  • Build clean, documented, reusable workflows
  • Take part in code reviews and help researchers design hard, realistic tasks

Who fits

  • 3 or more years as a data engineer, data scientist or data-focused software engineer
  • Strong Python for data engineering and data science
  • Experience with data processing, analysis and model-related workflows, plus solid machine learning fundamentals
  • Experience with structured and unstructured data
  • Able to navigate and modify complex real-world codebases, and write readable, maintainable code
  • Good problem solving on algorithmic or data-heavy problems
  • Excellent spoken and written English

What it pays

The ad does not publish a rate. Turing sets rates per project; see Turing.

Commitment and location

  • At least 4 hours a day and 20 hours a week, with 4 hours of overlap with PST
  • Contractor assignment (no medical or paid leave)
  • Duration: 3 months, adjustable based on engagement
  • Locations named: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico

Worth knowing

Good:

  • Data-focused, so it suits people who find repository bug fixing dull
  • Brazil is included here, unlike some Turing listings in the same family
  • Remote

Less good:

  • No rate published
  • Pacific time overlap is long for South Asian and African time zones
  • Term is 3 months and may change with engagement
  • No benefits or paid leave

How hiring works

A technical interview with a live coding challenge, 60 minutes (the ad spells it "challege").

About this listing

Read from Turing's job board on 18 October 2026. See Turing.

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