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About the role

Software Engineer – Data Pipelines / ML Infrastructure
Location: Redmond, WA
Schedule: On-site 5 days/week
Experience: 5+ years required
Education: Bachelor's degree in Computer Science or related field required
Position Overview: Looking for a Software Engineer to build and support the data pipelines that move large amounts of device-generated data into internal systems for machine learning and annotation workflows .This person will work with infrastructure engineers and Data Strategy TPMs to automate how data is ingested, processed, validated, and prepared for annotation/ML use .The biggest thing the manager needs is someone who is strong in Python + SQL and has actually built or automated multi-stage data pipelines. They should be comfortable jumping into unfamiliar systems and working across different technologies. What They'll Be DoingBuild and automate multi-stage data pipelines using Python and SQL.Support data ingestion from multiple devices and sources into centralized infrastructure. Develop automation around ML data and data annotation pipelines .Build processes to validate data and ensure it moves correctly through the pipeline .Troubleshoot pipeline and ingestion issues across different systems. Work closely with infrastructure engineers and Data Strategy TPMs. Learn and work within Meta's internal tools, languages, configuration systems, and codebases. Make architectural tradeoffs to quickly deliver working software solutions in an AR/VR R&D environment.
Must-Haves:
  • 5+ years of software engineering experience
  • Strong PythonStrong SQLHands-on experience building or automating multi-stage data pipelinesExperience working with data ingestion / data processing workflows
  • Bachelor's degree in Computer Science or a related technical field
  • Comfortable learning unfamiliar systems, languages, and internal tools
  • Able to work on-site in Redmond 5 days/week
  • Strongly Preferred
  • Experience with machine learning data pipelinesExperience with data annotation pipelines or annotation systems
  • Data validation experience
  • Experience handling data coming from multiple devices or sources
  • Automation-focused engineering background
Nice-to-Haves: PHPReactJavaScriptHTML5 / CSS

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