Robotics Reliability Data Analytics Engineer

Amazon; Town of Westboro (WI); On-site; USD 117,300 - 160,000; Full time

Benefits offered by this job

Medical, Dental, Vision Coverage

Maternity and Parental Leave Options

PTO

Job summary

Amazon Robotics Reliability Engineering is hiring a Reliability Engineer focused on data analytics to drive availability decisions across robot fleets. You will own data pipelines, dashboards, and reliability tools, enabling scalable evaluation for multiple programs.

Responsibilities include defining data requirements, cleansing datasets, building AI/ML aided tools, and collaborating with data engineers to ensure accurate, auditable results for DFMEA and fleet health initiatives.

Qualifications

• BS degree in mechanical engineering or equivalent.
• 3+ years of working in mechanical engineering or equivalent experience.
• Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python.
• Experience applying basic statistical methods (e.g. regression) to difficult business problems.

Responsibilities

• Define data requirements and specifications for reliability pipelines; partner with data engineering teams to build and validate ETL processes that ingest field failures, test data, and product telemetry from enterprise data lakes and EAM systems.
• Perform data cleansing, validation, and preparation of reliability datasets (censored life data, field service records, accelerated test results) to ensure assessment correctness before use in making engineering choices.
• Translate reliability engineering questions into data queries and assessment workflows structuring ambiguous problems into repeatable, scalable evaluation methods that other engineers can reuse.
• Develop and maintain reliability‑specific assessment tools and automation using Python, AI/ML, and statistical libraries (e.g., automated failure mode classification, survival assessment calculators, and fleet health monitoring scripts).
• Design and specify dashboard requirements for reliability KPIs (availability, MTBF, MTTR, failure rate trends); build prototypes and operationalize production dashboards.
• Identify gaps in available data, define collection requirements for new failure modes or test programs, and work with hardware test and field teams to close data gaps.
• Establish data governance practices for reliability datasets (i.e. metadata standards, version control, traceability to source systems) so assessment findings are reproducible and auditable.

Skills

Statistical methods

Data analysis mindset

Education

BS in mechanical engineering or equivalent

Tools

Advanced Excel

SQL

Tableau

Python

AWS (S3, Redshift, EMR, RDS)

Job description

Amazon Robotics Reliability Engineering is hiring a Reliability Engineer focused on data analytics to drive availability decisions across robot fleets. You will own data pipelines, dashboards, and reliability tools, enabling scalable evaluation for multiple programs.

Responsibilities include defining data requirements, cleansing datasets, building AI/ML aided tools, and collaborating with data engineers to ensure accurate, auditable results for DFMEA and fleet health initiatives.