Amazon Emr

Amazon Emr Engineer Jobs

4 jobs found

Today

Data Engineer II, Product BI

Amazon Development Center U.S., Inc. Seattle, WA

Seattle, WA

Today

$132k - $179k/yr Full time Amazon Emr Analytics AWS

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Job Description

Seattle, WA onsite Data Engineer II, Product BI role focusing on building data products and scalable data solutions to support business intelligence analytics and product insights using AWS data services.

Responsibilities

Develop data products that simplify customer challenges while improving operational and technical efficiency.
Design scalable data architectures to accommodate growing data volumes, ensure compliance, and adapt to diverse business needs.
Leverage foundational AWS services such as EC2, Redshift Serverless, ECS, EKS, and streaming technologies to deliver ongoing product innovations and insights that differentiate AWS offerings.

Requirements

Minimum 5+ years of data engineering experience.
3+ years designing and operating large-scale BI data structures using ETL/ELT processes.
3+ years building large-scale BI data structures for analytics using OLAP technologies.
3+ years in data modeling for BI architectures.
3+ years SQL development and operational experience for large-scale BI data structures.
3+ years Oracle experience in BI data contexts.
Experience with data modeling, warehousing and building ETL pipelines.

Technologies

EC2
Redshift Serverless
ECS
EKS
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM
SQL
Oracle

Benefits

Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance and option for Supplemental life plans
Employee Assistance Program (EAP)
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted Stock Units (RSUs)

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Today

Data Engineer, PXT Central Science

Amazon.com Services LLC Seattle, WA

Seattle, WA

Today

$132k - $206k/yr Full time Python Amazon Emr AWS

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Job Description

Based onsite in Seattle, WA, this Data Engineer position sits with Amazon's PXT Central Science team within the People Experience and Technology organization. The role focuses on building robust data pipelines, productionizing analytical models, and delivering analytics that support employee sentiment and business outcomes.

Responsibilities

Data Pipeline Development: Design and maintain scalable data pipelines using native AWS services such as Glue, EMR, and Lambda; implement comprehensive monitoring and error handling for data workflows; continually optimize for performance, reliability, and cost efficiency.
Model Productionization & API Development: Create APIs and data-serving layers to productionize science models for downstream consumption; build batch and real-time inference pipelines.
Data Integration & Quality: Develop scalable feature extraction and processing frameworks for diverse data types; implement robust data quality and validation checks; design flexible schemas to support evolving requirements.
Cross-team Collaboration: Partner with economics, data science, and software engineering teams to translate analytical requirements into production-ready solutions; participate in technical design reviews and architecture discussions.
Analytics & Infrastructure: Maintain layered data systems used by economists and scientists; develop automated reporting solutions; operate across multiple interconnected AWS accounts with security best practices.

Requirements

Knowledge of professional software engineering and full software development lifecycle best practices, including coding standards, architectures, code reviews, source control, continuous deployment, testing, and operational excellence.
At least 3 years of data engineering experience.
Experience with at least one modern programming or scripting language such as Python, Java, Scala, or NodeJS.
Experience with data modeling, warehousing, and building ETL pipelines.
Experience with AWS technologies including Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
Experience with non-relational databases or data stores, including object storage, document or key-value stores, graph databases, or column-family databases.
Bachelor's degree or foreign equivalent in computer science, engineering, mathematics, or a related field.

Technologies

Python, Java, Scala, NodeJS
AWS Glue, EMR, Lambda, Redshift, S3, Kinesis, FireHose, IAM
Hadoop, Hive, Spark

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement
Employee Assistance Program (EAP)
Mental Health Support

About the Team

The Central Science Team within Amazon’s People Experience and Technology organization (PXTCS) employs economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements that enhance Amazon and the value of work for Amazonians. It is an interdisciplinary group that blends science, engineering, and user experience to deliver solutions with measurable impact.

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Today

Reliability Analytics Engineer

Amazon.com Services LLC North Reading, MA

North Reading, MA

Today

$117k - $160k/yr Full time Python Amazon Emr Analytics

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Job Description

Amazon Robotics is seeking a Reliability Analytics Engineer for an on site role in North Reading, MA. This position emphasizes data informed reliability analyses across product programs and deployed fleets, building data pipelines, dashboards, and automation tools with Python, AI/ML, and statistics to support engineering decisions. The role offers a salary range of USD 117,300 to 160,000 per year and requires a BS degree in mechanical engineering or an equivalent field with at least three years of experience.

Responsibilities

Define data requirements and specifications for reliability pipelines; collaborate 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 accuracy before informing engineering decisions.
Translate reliability engineering questions into data queries and assessment workflows, turning 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 (for example 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); create prototypes and transition them into production dashboards.
Identify data gaps, define collection requirements for new failure modes or test programs, and collaborate with hardware test and field teams to close gaps.
Establish data governance practices for reliability datasets, including metadata standards, version control, and traceability to source systems to ensure findings are reproducible and auditable.

Requirements

BS degree in mechanical engineering or equivalent
3+ years of experience in mechanical engineering or an equivalent field
Experience with data analysis tools such as Advanced Excel, SQL, Tableau, and Python
Experience applying basic statistical methods such as regression to challenging business problems

Technologies

Python
AI/ML
Advanced Excel
SQL
Tableau
AWS S3
AWS Redshift
AWS EMR
AWS RDS
Reliasoft
Minitab
JMP

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

About the Team

Amazon Robotics Reliability Engineering is a multidisciplinary group of engineers who tackle complex optimization problems with a customer focus. The team thrives in ambiguity, moves quickly, and supports each other’s growth as they pursue innovative reliability solutions.

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Today

Data Engineer

Amazon Web Services, Inc. Seattle, WA

Seattle, WA

Today

$132k - $179k/yr Full time Amazon Emr Analytics AWS

Apply Now

Job Description

Onsite Data Engineer role in Seattle, WA with Amazon Web Services, Inc., offering a salary range of USD 132,100 to 178,800 per year.

Responsibilities

Design, implement, and support a scalable data platform that enables ad-hoc access to large, diverse datasets for analytics and reporting.
Collaborate with cross-functional technology teams to extract, transform, and load data from numerous sources using SQL, ensuring data quality and timely availability for stakeholders.
Build robust and scalable ETL pipelines with SQL, Python, and AWS services such as Data Pipelines and Glue, emphasizing reliability and maintainability.
Implement data structures following best practices in data modeling, ETL/ELT processes, and SQL/Redshift to support efficient BI and analytics.
Interface with business customers to gather requirements and deliver complete reporting solutions, including documentation and data lineage.
Produce high-quality datasets to support business analysts and customer reporting needs, including validation and versioning.
Continuously improve reporting and analytics workflows, automating self-service capabilities for customers and contributing to platform roadmap.

Requirements

Bachelor's degree required
3+ years of data engineering experience
2+ years designing and operating large-scale BI data structures using ETL/ELT processes
2+ years applying OLAP technologies to BI analytics data structures
2+ years performing data modeling for BI analytics
2+ years SQL development for BI analytics

Technologies

SQL
Python
AWS Data Pipelines
AWS Glue
Redshift
S3
EMR
Kinesis
Firehose
Lambda
IAM

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
Sign-on payments and restricted stock units (RSUs)

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Amazon Emr Engineer Jobs

Data Engineer II, Product BI

Data Engineer, PXT Central Science

Reliability Analytics Engineer

Data Engineer

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