DataJobs.io - Jobs in data science, machine learning and analytics.

Latest Jobs

4mo ago

Data Engineer, PXT Central Science

Amazon.com Services LLC Seattle, WA

Seattle, WA

4mo ago Closed

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

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Join Amazon.com Services LLC in Seattle, onsite, as part of the PXT Central Science team. This role centers on building scalable data pipelines, productionizing models, and delivering analytics that influence employee sentiment and business outcomes. The position offers a comprehensive benefits package and a culture that values collaboration, scientific rigor, and impact. Salary range: USD 132,100 - 205,600 per year.

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

Responsibilities

Design and maintain scalable data pipelines using native AWS services such as Glue, EMR, and Lambda; implement monitoring and error handling for data workflows; optimize performance, reliability, and cost efficiency.
Productionize science models by building APIs and data serving layers for downstream consumption; create batch and real time inference pipelines.
Build scalable feature extraction and processing frameworks for diverse data types; implement robust data quality checks and validation; design flexible schemas that support evolving requirements.
Partner with economists, data scientists, and software engineers to translate analytical needs into production ready solutions; participate in technical design reviews and architecture discussions.
Maintain layered data systems used by economists and scientists; develop automated reporting solutions; work across multiple interconnected AWS accounts with security best practices.

Requirements

Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, architectures, code reviews, source control, continuous deployment, testing, and operational excellence.
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 and data stores (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 equivalent.

Technologies

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

About the Team

The Central Science Team within Amazon’s People Experience and Technology organization (PXTCS) blends economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements that enhance Amazon and the lives, well-being, and value of work for Amazonians. This interdisciplinary group combines science, engineering, and UX to develop and deliver solutions with measurable impact.

View full job page →

4mo ago

Data Engineer II

Amazon Web Services, Inc. Atlanta, GA

Atlanta, GA

4mo ago Closed

$132k - $179k/yr Full time Analytics Business Intelligence Data Analysis

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Amazon Web Services, Inc. is hiring a Data Engineer II onsite in Atlanta, GA, with a salary range of USD 132,100 to 178,800 per year.

Responsibilities

Architect, develop, test, document, and operate scalable, high-volume data structures to support business intelligence analytics.
Build data structures applying best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies.
Provide online reporting and analysis using OBIEE, leveraging a logical abstraction layer across large, multi-source, multidimensional datasets.
Gather business and functional requirements and translate them into robust, scalable data solutions aligned with the overall data architecture.
Analyze source data systems and promote best practices across source teams.
Participate in the full development life cycle from design and implementation through testing, documentation, delivery, support, and maintenance.
Produce comprehensive dataset documentation and metadata for usability and reuse.
Evaluate dataset implementations proposed by peer data engineers and make informed decisions.
Evaluate the use of new or existing software products and tools to strengthen data capabilities.
Mentor junior data engineers to develop technical skills and promote best practices.

Requirements

Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field with one year of related experience, or equivalent experience in roles such as Operations Research Analyst or Database Developer.
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field with five years of related experience, or as equivalent to the Master's degree and one year of experience.
One year of experience in ETL/ELT processes.
One year of experience in OLAP technologies.
One year of experience in data modeling.
One year of experience in SQL.
One year of experience in Oracle.

Technologies

OBIEE
SQL
Oracle
OLAP

View full job page →

4mo ago

Reliability Analytics Engineer

Amazon.com Services LLC North Reading, MA

North Reading, MA

4mo ago Closed

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

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Reliability Analytics Engineer, onsite in North Reading, MA, supporting Amazon Robotics with data-driven reliability analyses across product programs and deployed fleets, salary range USD 117,300 to 160,000 per year.

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 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); build prototypes and 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 data gaps.
Establish data governance practices for reliability datasets (metadata standards, version control, traceability to source systems) to ensure reproducible and auditable assessment findings.

Requirements

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

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 team of experts in diverse engineering disciplines joined by a passion to astonish customers through solving complex optimization problems. We succeed by embracing ambiguity, moving at a fast pace, and supporting each other's growth.

View full job page →

4mo ago

Data Engineer II

Amazon Data Services, Inc. Seattle, WA

Seattle, WA

4mo ago Closed

$144k - $179k/yr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Based in Seattle, this Data Engineer II role focuses on designing and delivering scalable data structures that power business intelligence analytics. You will work across the full data lifecycle—from data modeling and ETL/ELT processes to SQL and Oracle OLAP tooling, OBIEE reporting, and thorough dataset documentation—while aligning with the broader data architecture and mentoring junior engineers.

Location

Seattle, WA (onsite)

Salary

Annual salary: USD 144,308 - 178,800

Requirements

Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field with one year of experience in the job offered or a related occupation.
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field with five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience.
One year of experience developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
One year of experience developing and operating large-scale data structures for business intelligence analytics using OLAP technologies.
One year of experience developing and operating large-scale data structures for business intelligence analytics using data modeling.
One year of experience developing and operating large-scale data structures for business intelligence analytics using SQL.
One year of experience developing and operating large-scale data structures for business intelligence analytics using Oracle.

Responsibilities

Design large-scale, high-volume, high-performance data structures for business intelligence analytics.
Develop large-scale, high-volume, high-performance data structures for business intelligence analytics.
Implement large-scale, high-volume, high-performance data structures for business intelligence analytics.
Test large-scale, high-volume, high-performance data structures for business intelligence analytics.
Document large-scale, high-volume, high-performance data structures for business intelligence analytics.
Operate large-scale, high-volume, high-performance data structures for business intelligence analytics.
Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies.
Provide on-line reporting and analysis using OBIEE business intelligence tools.
Create a logical abstraction layer against large, multi-dimensional datasets and multiple sources.
Gather business and functional requirements and translate them into robust, scalable, operable solutions that fit within the data architecture.
Analyze source data systems and drive best practices in source teams.
Participate in the full development life cycle—from design and implementation to testing, delivery, support, and maintenance.
Produce comprehensive, usable dataset documentation and metadata.
Evaluate dataset implementations designed and proposed by peer data engineers.
Evaluate the use of new or existing software products and tools.
Mentor junior data engineers.

Technologies

OBIEE
SQL
Oracle
OLAP technologies
ETL/ELT processes
Data modeling

Benefits

Sign-on bonus
Restricted stock units
Medical benefits
Financial benefits

Preferred Qualifications

All applicants must meet all the above listed requirements. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

View full job page →

4mo ago

Data Engineer

Amazon Web Services, Inc. Seattle, WA

Seattle, WA

4mo ago Closed

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

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Amazon Web Services seeks a Data Engineer to design, implement, and operate a scalable data warehouse and reporting platform that integrates multiple data sources and builds ETL pipelines to enable data-driven decision making for AWS Marketing.

Job Details

Location: Seattle, WA (onsite)
Salary: USD 132,100 - 178,800 per yearly
Education: Bachelor's degree
Minimum Experience: 2 years

Responsibilities

Design, implement, and support a platform providing ad-hoc access to large datasets
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
Build robust and scalable data integration (ETL) pipelines using SQL, Python and AWS services such as Data Pipelines, Glue
Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL/Redshift
Interface with business customers, gathering requirements and delivering complete reporting solutions
Build and deliver high quality datasets to support business analyst and customer reporting needs
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

Requirements

Bachelor's degree
3+ years of data engineering experience
2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
2+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
2+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
2+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience

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)

View full job page →

4mo ago

Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements

Amazon Web Services, Inc. Seattle, WA

Seattle, WA

4mo ago Closed

$155k - $209k/yr Full time Senior Artificial Intelligence Data Analytics

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Senior Data Engineer on the Strategic Customer Engagements team at Amazon Web Services to build scalable data analytics platforms and translate data into actionable insights for strategic deals.

Responsibilities

Develop and sustain the backend data stack powering analytics platforms and applications, ensuring data is clean, up-to-date, and ready for downstream use.
Lead architectural improvements to simplify complex data systems and transformations, proactively addressing bottlenecks in the data infrastructure.
Convert business problems into concrete data requirements, collaborating with business intelligence engineers, product managers, and stakeholders to define data products to build.
Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources.
Leverage AWS services and GenAI to deliver next-generation data solutions that boost efficiency and enable new analytics capabilities.
Create data pipelines designed for near real-time access by large language models and develop data products and feature stores to support GenAI applications.
Lead design reviews of your team's data architecture and participate in design reviews of related software and data systems.

Requirements

Five or more years of data engineering experience.
Experience in data modeling, data warehousing, and designing ETL pipelines.
Proficiency in SQL.
Proficiency in at least one modern programming or scripting language such as Python, Java, Scala, or NodeJS.
Experience mentoring teammates on data engineering best practices.

Technologies

Python
Java
Scala
NodeJS
SQL
Hadoop
Hive
Spark
EMR
AWS services
GenAI
LLM

Benefits

Health insurance package including medical, dental, vision, prescriptions, Basic Life and AD&D, option for Supplemental life, EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, and Adoption and Surrogacy reimbursement coverage
401(k) with company matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

View full job page →

4mo ago

Data Engineer, Partner Experience

Amazon.com Services LLC Seattle, WA

Seattle, WA

4mo ago Closed

$132k - $179k/yr Full time Analytics Artificial Intelligence AWS

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Based in Seattle, WA, this on-site Data Engineer role at Amazon.com Services LLC offers a salary range of USD 132,100 to 178,800 per year. You will join Prime Video's Partner and Content Foundations (PCF) data team, building and maintaining scalable AWS-based data infrastructure and a Redshift-centric data warehouse to empower product teams with self-service analytics and AI-driven insights.

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
Restricted stock units (RSUs)

Responsibilities

Writing clean, maintainable code that adheres to best practices
Leveraging AWS data processing services
Possessing broad knowledge of different data types and when to use them
Understanding data security and compliance standards to ensure alignment with company policies and regulations
Using GenAI to improve efficiency and accelerate delivery