Jobs / Ama***
Data Engineer , CXI/OIS Analytics , Ops Tech Solution Network Dev
Ama*** · Austin, TX, United States
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Austin, TX, United States132,100-178,800 USD/yearlyOnsite
Remuneration
132,100-178,800 USD/yearly
Location
Austin, TX, United States
Visa sponsorship
Sponsors visa
Job summary
DESCRIPTION Join the OIS/CXI Analytics team to build strategic data infrastructure powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support for OpsTech IT, enabling Amazon's global customer commitment.
Benefits
That support you and eligible family members, including domestic partners.That generally apply to regular, full-time employees include:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) PlanIf you are not sure that every qualification on the list above describes you exaAt Amazon, we value people with unique backgrounds, experiences, andLearn more about ourAt https://amazon.jobs/en/USA, TX, Austin - 132,100.00 - 178,800.00 USD annually
Qualifications
- 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP
- Experience with AWS
- and location.
- Amazon also offers comprehensive
Responsibilities
- You will contribute to MLOps data practices — including data versioning, pipeline monitoring, and model retraining data support — and help establish engineering best practices within the team.
- You will support Data Science teams by building curated, analysis-ready models and datasets and enabling self-service data access through well-governed data infrastructure.
- Design, build, and maintain production-grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence.
- Build feature engineering workflows and ML-ready data pipelines that support Data Science experimentation and production model serving.
- Contribute to data governance and quality standards across analytical and ML data products.
- Support implementation of GenAI solutions for automated reporting, diagnostic, predictive, and prescriptive analytics.
- Build and maintain semantic layers and dashboard data models that power worldwide operations business selections.
- Partner with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.
- Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.
- A day in the life
- Amazon offers a full range of
Skills
Electronic Health Records
Degrees
AssociateBachelorDegree
Industry
AutomotiveEnergyInsurance