Amazon
Posted 4mo ago

Data Engineer, AWS Sustainability Technology

Amazon
Seattle, Washington, United States
$132k-$179k/yrOnsiteFull Time
Responsibilities
  • building pipelines
  • designing models
  • optimizing data
Requirements
  • 3+ years data engineering experience
  • SQL and Oracle
  • ETL/ELT, OLAP, data modeling and warehousing
  • Build and operate large-scale data structures for analytics
Technical tools mentioned
ETLELTOLAPSQLOracleAmazon RedshiftAmazon S3AWS GlueEMRKinesisFireHoseLambdaIAM

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.

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.

We are calling on engineers who wants to contribute to a sustainable future through technology. Join us in developing solutions for renewable energy portfolio and reduce carbon footprint of our materials in data centers.

In 2019, Amazon co-founded The Climate Pledge and made a commitment to achieve net-zero carbon by 2040 —10 years ahead of the Paris Agreement. We invited others to join us and there are now more than 300 businesses and organizations across 51 industries and 29 countries that have signed the Pledge, which means we are collectively coming at the climate crisis from nearly every sector and nearly every angle.

As part of our efforts to decarbonize our business, we became the world’s largest corporate purchaser of renewable energy in 2020, reached 100% renewable energy across our business, and are on a path to become net-zero carbon by 2040.

AWS will also be water positive by 2030, returning more water to communities than it uses in its direct operations.

Come join the team that is building the tools and innovative technology reduce our carbon footprint, and manage our growing portfolio of renewable energy investments, including solar, on-shore and off-shore wind farms.


Key job responsibilities
Our Data Engineers develop large data models for clients in energy, renewable resources, sustainability, and water sectors, enabling them to assess their portfolios. They help our data scientists create predictive models to enhance decision-making.

A day in the life
As a Data Engineer, you'll start your day collaborating with cross-functional partners to understand their data needs. You might spend time building and optimizing ETL pipelines, reviewing code with team members, or designing new data models. You'll participate in technical discussions to solve complex problems. Your work directly impacts AWS' sustainability goals, helping to design products used by leaders and stakeholders to make informed decisions about reducing our impact on the environment.

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 developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
- Experience with data modeling, warehousing and building ETL pipelines

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, WA, Seattle - 132,100.00 - 178,800.00 USD annually

About Amazon

Global online retail and cloud computing technology provider.

Similar jobs

Data Engineer roles near Seattle, Washington
13h
Save
Mark Applied
Hide
Data Engineer (Contract)
Bellevue, Washington, United States
$51-$80/hr RemoteContract
ArenaNet
ArenaNet: Develops and publishes premier online role-playing video games.
2+ YOEBachelor's degree in computer science or related field, or equivalent experience; 2+ years in data engineering; strong SQL, relational data modeling, and cloud warehouse experience; Git and communication skills required.
Amazon Redshift, Databricks, DELOS, SQL, Git, Python
18h
Save
Mark Applied
Hide
Senior Data Engineer
Denver or New York City or San Francisco or Los Angeles or Seattle or San Jose or Scottsdale
$155k-$220k/yr HybridFull Time
Gusto
Gusto: Cloud-based payroll and HR software for small businesses.
8+ YOE8–10+ years in data engineering; SQL and Python, Scala, or Java; scalable pipelines, ETL, dbt, data modeling, cloud platforms, CI/CD, testing, observability, monitoring, and incident response.
SQL, Python, Scala, Java, dbt, Snowflake, Redshift, BigQuery, Databricks
1d
Save
Mark Applied
Hide
Staff Data Engineer
Seattle, Washington, United States
OnsiteFull Time
Apple
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Build a security data platform integrating vulnerability findings into systems of record, ownership graphs, lakehouse analytics, and prioritized risk backlogs.
1d
Save
Mark Applied
Hide
C#/.NET and Data Engineer
Bellevue, Washington, United States
$90k-$104k/yr OnsiteFull Time
Tata Consultancy Services
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
4+ YOERequires 4–6 years of experience with C#/.NET software engineering, data engineering, PL/SQL, Azure Databricks, ADF, ASP.NET, APIs, microservices, data pipelines, and cloud platforms.
C#, .NET, PL/SQL, ADF, Azure Databricks, ASP.NET, REST APIs, microservices, CI/CD, Azure, Databricks, Apache Spark, Cosmos, ADLS Gen1, ADLS Gen2
3d
Save
Mark Applied
Hide
Senior Data Engineer
San Francisco or Los Angeles or Denver or Austin or Chicago or New York City or Seattle or Toronto or Santa Barbara or San Diego
$127k-$190k/yr RemoteFull Time
Invoca
Invoca: AI platform for conversation intelligence and revenue execution.
5+ YOE5+ years in data or software engineering; advanced Python, SQL, Databricks, Spark, and data modeling; experience with orchestration, streaming, cloud infrastructure, data quality, ML datasets, and privacy; bachelor's degree or equivalent.
Python, PySpark, Pandas, Polars, PyArrow, SQL, MySQL, PostgreSQL, Databricks, Delta Lake, Unity Catalog, Workflows, Jobs/Compute, Snowflake, BigQuery, Apache Spark, Airflow, Dagster, Kafka, Kinesis, Spark Structured Streaming, AWS, S3, IAM, FastAPI, Databricks Model Serving, SageMaker endpoints
3d
Save
Mark Applied
Hide
Lead Data Engineer - R01568940
Seattle, Washington, United States
$120-$125/yr OnsiteFull Time
Brillio
Brillio: Digital technology services and AI-led transformation partner.
5+ YOERequires 5+ years with SQL and scalable ETL, 3+ years with data lakes, Spark, and Parquet, and 2+ years building cloud-hosted data systems; Azure experience preferred.
AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions, Databricks, Azure Synapse Analytics, Azure Data Explorer, Data Factory, SQL, Data Lake, Spark, Parquet, Azure Databricks, Fabric, Delta Lake, Kusto, AI/ML, LLM, RAG
3d
Save
Mark Applied
Hide
Google Senior Data Engineer
Albany or Arlington or Atlanta or Austin or Beaverton or Bentonville or Boston or Carmel or Charlotte or Chicago or Cincinnati or Cleveland or Columbus or Culver City or Denver or Des Moines or Detroit or Hartford or Houston or Irving or Kirkland or Miami or Milwaukee or Minneapolis or Morristown or Mountain View or Nashville or New York City or Oklahoma City or Overland Park or Philadelphia or Pittsburgh or Raleigh or Redmond or Sacramento or San Diego or San Francisco or Scottsdale or Seattle or St. Louis or St. Petersburg or Walnut Creek or United States
$80k-$266k/yr HybridFull Time
Accenture
AccentureNYSE: ACN: Global professional services firm providing consulting and technology solutions.
5+ YOERequires 5+ years in data engineering, analytics, or ML; 4+ years with GCP; 5+ years with SQL and pipelines; 3+ years with Python or AI tools; and a bachelor's degree or equivalent.
Google Cloud Platform (GCP), BigQuery, Looker, Vertex AI, Gemini Foundation Models, Gemini Enterprise, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Looker Studio, Model APIs, Embeddings, Dataplex, IAM, SQL, Python, Git
3d
Save
Mark Applied
Hide
Sr. Engineer, Data
Bellevue, Washington, United States
$105k-$190k/yr OnsiteFull Time
T-Mobile
T-MobileNASDAQ: TMUS: Provides wireless voice, data, and mobile internet services.
3+ YOEBachelor's degree and 5 years or advanced degree and 3 years required, with cloud solutions, data migration, SQL, relational databases, Python, and data pipeline experience.
Amazon Web Services, Microsoft Azure, Google Cloud, SQL, Python, Scala, Databricks DBRX