Software Design Engineer
Insight Global · Redmond, Washington, United States
FULL TIMEpermanent
Job Description
Software Engineer – Data Pipelines / ML InfrastructureLocation: Redmond, WASchedule: On-site 5 days/weekExperience: 5+ years requiredEducation: Bachelor’s degree in Computer Science or related field required
Find out more about this role by reading the information below, then apply to be considered.
Position OverviewLooking 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. xzbcwsv Make architectural tradeoffs to quickly deliver working software solutions in an AR/VR R&D environment.
Must-Haves5+ years of software engineering experienceStrong PythonStrong SQLHands-on experience building or automating multi-stage data pipelinesExperience working with data ingestion / data processing workflowsBachelor's degree in Computer Science or a related technical fieldComfortable learning unfamiliar systems, languages, and internal toolsAble to work on-site in Redmond 5 days/week
Strongly PreferredExperience with machine learning data pipelinesExperience with data annotation pipelines or annotation systemsData validation experienceExperience handling data coming from multiple devices or sourcesAutomation-focused engineering background
Nice-to-HavesPHPReactJavaScriptHTML5 / CSS
Find out more about this role by reading the information below, then apply to be considered.
Position OverviewLooking 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. xzbcwsv Make architectural tradeoffs to quickly deliver working software solutions in an AR/VR R&D environment.
Must-Haves5+ years of software engineering experienceStrong PythonStrong SQLHands-on experience building or automating multi-stage data pipelinesExperience working with data ingestion / data processing workflowsBachelor's degree in Computer Science or a related technical fieldComfortable learning unfamiliar systems, languages, and internal toolsAble to work on-site in Redmond 5 days/week
Strongly PreferredExperience with machine learning data pipelinesExperience with data annotation pipelines or annotation systemsData validation experienceExperience handling data coming from multiple devices or sourcesAutomation-focused engineering background
Nice-to-HavesPHPReactJavaScriptHTML5 / CSS
Details
| Company | Insight Global |
| Location | Redmond, Washington, United States |
| Type | FULL TIME |
| Niche | tech |
| Experience | permanent |