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Added 37 mins ago
Power Markets Data Scientist and Optimization Analyst - Hybrid Remote
Hoosier Energy
Bloomington, IN
Added 2 hours ago
Analytics Engineer
Benchmark Utility Services
Remote, United States
Understanding of ETL/ELT concepts and relational data modeling, with experience profiling, cleaning, and standardizing data
Added 5 hours ago
EG
Databricks Data Engineer
Eliassen Group
Raleigh, NC
- $150,000 to $154,000 USD / year
Preferred: Experience optimizing ETL workflows in Databricks.
Added 5 hours ago
Data Architect
Avalore, LLC
Arlington, VA
…the architecture for data ingestion, processing pipelines (ETL/ELT), and data access. They will work closely with the GRC and security teams to ensure data governance, data quality, and…
Added 5 hours ago
Exploitation Specialist / Imagery Scientist, Expert
Avalore, LLC
Springfield, VA
…in regards to changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations…
Added 5 hours ago
Exploitation Specialist / Data Scientist (Senior)
Avalore, LLC
Springfield, VA
Perform data manipulation and execute extract, transform, and load (ETL) procedures.
Added 5 hours ago
Data Scientist (Exploitation Specialist)
Avalore, LLC
Springfield, VA
Perform data manipulation, extract-transform-load (ETL) processes, and utilize database technologies (SQL and NoSQL).
Added 5 hours ago
Palantir Platform Engineer
Avalore, LLC
Herndon, VA
As a Palantir Platform Engineer, you will play a pivotal role in integrating custom ETL workflows within the Palantir ecosystem. Your responsibilities will include connecting ETL…
Added 5 hours ago
Data Scientist
Avalore, LLC
Chantilly, VA
Demonstrated experience ETL’ing data from disparate structured & unstructured data formats into enriched, query-friendly structured data in indexed files.
Added 5 hours ago
Data Architect
Avalore, LLC
Chantilly, VA
Demonstrated experience building executing ETL pipelines
Added 5 hours ago
Data Engineer II - 3058084
Apex Systems, Inc.
Cincinnati, OH
…patterns. - Support the analysis and modernization of legacy ETL and file-based data flows. - Implement appropriate data testing, reconciliation, monitoring, alerting, and…
Added 6 hours ago
A&
Salesforce Developer/Architect
Astor & Sanders
Remote, United States
- $150,000 to $190,000 USD / year
…provider headquartered in McLean, VA and is seeking a Salesforce Developer/Architect to join their team. This is a full-time position and hybrid onsite in the DMV…
Added 6 hours ago
EG
Databricks Data Engineer
Eliassen Group
Montpelier, VT
- $150,000 to $154,000 USD / year
Preferred: Experience optimizing ETL workflows in Databricks.
Added 6 hours ago
AP
Commercial Data Product Owner - Job ID: 2080
Ascendis Pharma
Remote, United States
- $180,000 to $190,000 USD / year
Work with Databricks, SQL, data warehouses, ETL/ELT processes, and data pipelines.
Added 6 hours ago
Senior Java Developer
Charles Schwab
Southlake, TX
3+ years of experience in building ETL (Extract, Transform, Load) data pipelines both on-premises and in the cloud.GoldenGate,Debezium, Airflow.
Added 6 hours ago
Senior Data Developer, Assistant Vice President
Citigroup
Irving, TX
We are strategically building a team of highly skilled and autonomous individuals. We are seeking a Senior Data Developer /Lead to join one of our small, co-located, high-performing squads.…
Added 6 hours ago
Data Engineer , AWS Infrastructure Supply Chain Intelligence
Amazon
Austin, TX
…data modeling with un/structured data, ingestion pipelines and ETL design and business intelligence tools with the business to identify strategic opportunities where improvements in data…
Added 6 hours ago
EG
Databricks Data Engineer
Eliassen Group
Austin, TX
- $150,000 to $154,000 USD / year
Preferred: Experience optimizing ETL workflows in Databricks.
Added 7 hours ago
Business Intelligence Developer
TherapyNotes.com
Remote, United States
The BI Developer at TherapyNotes is responsible for designing, developing, and maintaining business intelligence solutions that support data-driven decision-making across the organization.…
Added 7 hours ago
Principal Consultant - Databricks
OZ Digital LLC
Remote, United States
Strong command of Apache Spark, PySpark, Python, SQL, Delta Lake, batch and streaming patterns, ETL/ELT, data modeling, data quality, performance tuning, and production troubleshooting.
Added 7 hours ago
Business Data Analyst
neurohire.ai
Remote, United States
Basic understanding of data modeling, data warehouses, and ETL processes.
Added 9 hours ago
Accounting & Finance Data, Reporting, and Automation Engineer - State, Local, and Higher Education
Deloitte US
Atlanta, GA · Charlotte, NC · Dallas, TX · Gilbert, AZ · Houston, TX · Lake Mary, FL · Mechanicsburg, PA · Philadelphia, PA · Rosslyn, VA · Washington, DC
Build and maintain data extraction, transformation, and loading (ETL) pipelines that pull data from ERP and other information systems, including Workday, Oracle, PeopleSoft, into reporting…
Added 9 hours ago
Snowflake Data Engineer
Deloitte US
Gilbert, AZ · Lake Mary, FL · Mechanicsburg, PA
Build and maintain ETL/ELT processes for data ingestion, transformation, and integration.
Added 9 hours ago
Customer Experience Management Consultant, Medallia
Deloitte US
Atlanta, GA · Austin, TX · Baltimore, MD · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Columbus, OH · Dallas, TX · Denver, CO · Detroit, MI · Hartford, CT · Houston, TX · Indianapolis, IN · Jacksonville, FL · Kansas City, MO · Las Vegas, NV · Los Angeles, CA · McLean, VA · Miami, FL · Milwaukee, WI · Minneapolis, MN · Morristown, NJ · Nashville, TN · New Orleans, LA · NY · Philadelphia, PA · Pittsburgh, PA · Portland, OR · Raleigh, NC · Richmond, VA · Sacramento, CA · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tampa, FL · Tempe, AZ
Understanding of API integrations, SSO/OAuth setup, and data transformation (ETL) concepts.
Added 9 hours ago
Senior Data Scientist/Engineer and Application Developer
Deloitte US
Baltimore, MD · McLean, VA · Richmond, VA · Rosslyn, VA · Washington, DC
3+ years of experience designing, building, and maintaining data pipelines and ETL/ELT workflows

Amazon

Data Engineer , AWS Infrastructure Supply Chain Intelligence

Austin, TX, United States

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Job details

Posting language: English
Posted: Nov 5, 2026

Original job description

Description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

We are looking for a talented Data Engineer to join the Manufacturing Operations, Transportation Operations, and Reverse (MOTOR) organization in support of our Supply Chain Intelligence team. MOTOR manages the manufacturing of datacenter racks and the movement of racks/parts through the supply chain, consisting of transportation, warehousing, and reverse logistics into and out of the data centers. This role performs helps connect the different systems across the supply chain together so operational teams have clean, actionable data to work with. This requires someone with strong analytic skills and business acumen who can work with stakeholders on strategic projects across MOTOR.

The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. Must be an expert working with data modeling with un/structured data, ingestion pipelines and ETL design and business intelligence tools with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. Candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), mentors other engineers in team on high quality tech, and enjoys working in a fast-paced team. Candidate will have a chance to architect the data pipelines needed for optimization and predictive analysis. We're excited to talk to those up to the challenge!

Key job responsibilities

Build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational excellence best practices. Build datasets that analysts and scientists use to generate actionable insights.
Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, cost, and storage requirements.
Develop high quality solutions for the faster development of the products/models that solve the business needs in a scalable format, while also anticipating future requirements.
Collaborate with Research/Applied Scientists, Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother.
Interface with other technology/data engineering teams to extract, transform, and load data from a wide variety of data sources using and AWS data technologies.
Lead the technical design and implementation of the data infrastructure.
Design and manage data audit, quality, and reconciliation processes in collaboration with various stakeholders.

About the team

This team provides data engineering and business intelligence engineering services to the rest of MOTOR. We are the data experts behind the scenes helping the operational teams focus on operations by ensuring they have accurate, timely data and provide business insights to help improve operational excellence.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic 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 SQL (Structured Query Language) experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
Experience with data modeling, warehousing and building ETL pipelines
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Preferred Qualifications

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, TX, Austin - 132,100.00 - 178,800.00 USD annually

USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually

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More about this job

Skills

AWS
Supply chain management
Data modelling
Data engineering
Business intelligence
Data management
Data storage
Research
Manage data
Cloud computing
SQL
Computer science
Warehouse operations
Python
Oracle Java
Scala
Amazon Redshift
EMR
Identity and access management
Recruitment
Mental health

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