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Redshift Data Jobs

5 jobs found

19d ago

Senior Data Engineer

Amazon.com Services LLC Seattle, WA

Seattle, WA

19d ago

$155k - $209k/yr Full time Senior Amazon Emr Amazon Web Services

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Job Description

Amazon.com Services LLC, home to Prime Video, is seeking a Senior Data Engineer to tackle large-scale data warehousing challenges. In this role, you will design and operate scalable ETL pipelines on AWS, enabling robust data processing and self-service access for analytics across Prime Video. You’ll join a mission-driven team that collaborates across business and technical units to translate complex data into actionable insights.

Responsibilities

You will solve big data warehousing problems on a massive scale and apply cloud-based AWS services to address challenges around big data processing, data warehouse design, and self-service data access.
You will be part of a team focused on automation and optimization for all aspects of DW/ETL maintenance and deployment.
You will collaborate with business and technical teams on non-standard and unique business problems, using creative problem solving to deliver actionable outputs.
You will develop systems and tools to process data with efficient technologies that can scale to seasonal spikes.
Your work will directly influence day-to-day decision making within the team.

Requirements

5+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Experience mentoring team members on best practices

Technologies

Redshift
AWS
Hadoop
Hive
Spark
EMR
SQL
Python
Java
Scala
NodeJS

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance
Basic Life & AD&D insurance
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

About the Team

The team is primarily based in Seattle with additional presence in New York and London.
A data-driven organization focused on Prime Video's growth and commerce analytics, with strong representation in business intelligence, data engineering, and product management functions supporting Prime Video's commercial and analytical needs.
Cross-functional team building intelligent systems that integrate content and data to deliver personalized customer experiences across streaming, live events, and emerging formats.

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19d ago

Data Engineer

Amazon Web Services, Inc. Dallas, TX

Dallas, TX

19d ago

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

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Job Description

A data engineering professional at AWS will design and maintain analytical data infrastructure, develop metrics and dashboards, and enable data driven decision making. This onsite role is based in Dallas, TX, with a salary range of USD 132,100 to 178,800 per year.

Responsibilities

Design, implement and support an analytical data infrastructure.
Manage AWS resources including EC2, EMR, S3, Glue, Redshift, and related services.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.
Collaborate with Data Scientists and Business Intelligence Engineers to recognize and help adopt best practices in reporting and analysis.
Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

Requirements

Bachelor's degree.
Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets.
3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience.
Experience providing technical leadership and mentoring other engineers for best practices on data engineering.
Experience building and operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
Experience with data modeling, warehousing and building ETL pipelines.

Technologies

SQL
Redshift
Quicksights
AWS Glue
EMR
S3
EC2
IAM
Kinesis
FireHose
Lambda

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.

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28d ago

Data Engineer, Partner Experience

Amazon.com Services LLC Seattle, WA

Seattle, WA

28d ago

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

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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

Requirements

3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience in Python, Perl, or another scripting language

Technologies

Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM roles and permissions
SQL
Python
Perl
GenAI

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2mo ago

Data Engineer AWS & Cloud Data Platforms

Calance US Torrance, CA

Torrance, CA

2mo ago Closed

$68 - $70/hr Contract AWS Aws Glue Big Data

This position is no longer accepting applications (closed Jun 14, 2026).

Job Description

Calance US offers a hybrid Data Engineer role in Torrance, CA with a competitive hourly rate and a contract path of 12+ months. You will work on AWS cloud data platforms, build scalable ETL and ELT pipelines, and shape data warehousing on Redshift, all while aligning with security and regulatory requirements. The position supports flexible, on-site collaboration four days a week in a largely in-person schedule, and is backed by a comprehensive benefits package including medical, dental, vision, retirement, and savings options.

Benefits

EPO/PPO Medical Plans
HMO/PPO Dental programs
Vision - VSP (Vision Plan Summary)
401K Retirement vesting program (VOYA)
Paid Bi-Weekly/Direct Deposit
Flex Spending Plan
Voluntary Life, AD&D, STD or LTD plans

Responsibilities

Architect and deploy scalable ETL and ELT pipelines on AWS Glue using PySpark for large data workloads
Build and maintain serverless integrations with AWS Lambda to enable event driven processing and system connectivity
Design and optimize Redshift data warehouse solutions, including stored procedures, performance tuning, and advanced SQL analytics
Oversee vendor file transfer and ingestion initiatives using AWS Transfer Family
Develop database migration and replication pipelines with AWS DMS
Create and manage orchestration workflows using Apache Airflow or comparable tools
Evaluate data quality, transformation logic, and performance through SQL-based analysis
Provide guidance to development team members on AWS data engineering best practices, cost control, and performance optimization
Collaborate with enterprise architecture, security, and compliance teams to meet SOX and regulatory requirements
Troubleshoot production data pipelines and cross service integration issues across AWS

Requirements

Excellent written and oral communication skills
Ability to interview in person
7+ years of experience building data platforms or data engineering solutions
5+ years hands-on experience with AWS cloud services
Strong experience with AWS Glue using PySpark for large-scale ETL processing
Hands-on experience developing serverless applications using AWS Lambda
Deep experience with Amazon Redshift, including performance tuning, SQL analytics, and stored procedures
Experience implementing workflow orchestration using Apache Airflow or similar tools
Experience implementing secure vendor integrations using AWS Transfer Family
Experience designing data migration and replication pipelines using AWS DMS
Strong SQL skills and ability to analyze data using complex queries
Knowledge of security, encryption, IAM policies, and compliance considerations in AWS environments
Bachelor's degree required
Experience in financial services or regulated environments preferred
Strong troubleshooting, problem-solving, and data analysis capabilities

Technologies

AWS Glue
PySpark
AWS Lambda
Amazon Redshift
AWS Transfer Family
AWS Database Migration Service (DMS)
Apache Airflow
SQL

Job Details

Position: Data Engineer AWS & Cloud Data Platforms
Job Ref: 44416 - JIH5JP00004250
Duration: 12+ Months (On-going Contract)
Location: Hybrid in Torrance, CA 90501
Pay Rate: $68.00 - $70.25 per hour (W2 ONLY)
Hybrid requirement: Onsite 4 days per week, Monday through Friday, 40 hours

Hiring Restrictions

NOT accepting any 3rd Party C2C candidates for any reason
NOT accepting candidates willing to relocate (LOCAL CANDIDATES Only)
NOT accepting candidates who live more than 45 miles from Torrance

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2mo ago

Data Engineer II

Zappos.com LLC New York, NY

New York, NY

2mo ago Closed

$145k - $197k/yr Full time AWS Cloud Data Engineer

This position is no longer accepting applications (closed Jun 7, 2026).

Job Description

This onsite Data Engineer II role in New York, NY focuses on designing, building, and maintaining data pipelines, ETL processes, and data warehousing to support analytics, reporting, and machine learning, with an opportunity to redesign the organization’s data architecture. The position offers a salary range of USD 145,300 to 196,600 per year.

Role overview

The role centers on delivering scalable data infrastructure that enables data-driven decision making across analytics and data science teams. Collaboration with cross functional partners is a key component, as is maintaining robust data governance and security practices to protect sensitive information.

Responsibilities

Create, operate, and optimize robust data pipelines to ingest, process, and store data from databases, APIs, and external data providers.
Design and refine ETL processes to cleanse, enrich, and structure raw data for analysis and reporting.
Implement and manage data warehousing solutions to ensure efficient storage, fast retrieval, and reliable query performance.
Set data quality standards, perform validations, and proactively identify and address data quality issues.
Optimize pipelines and storage to handle large data volumes while maintaining performance and reliability.
Enforce data privacy and security through access controls, encryption, and compliance with data protection regulations.
Collaborate with data scientists, analysts, and other stakeholders to translate data needs into practical infrastructure.
Maintain comprehensive documentation for pipelines, data models, and processes to support knowledge sharing and troubleshooting.
Implement monitoring to detect and address pipeline failures or performance bottlenecks.
Stay current with industry trends and emerging technologies to recommend improvements to the data landscape.

Requirements

3+ years of data engineering experience.
Experience with data modeling, data warehousing, and building ETL pipelines.
Knowledge of distributed systems as they pertain to data storage and computing.
Bachelor's degree required.

Technologies

AWS
Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM

Benefits

Sign-on payments
Restricted stock units (RSUs)
Comprehensive health coverage including medical, dental, vision, prescription, and Life & AD&D insurance with optional supplemental plans
Employee assistance program and mental health support
Flexible spending accounts
401(k) matching
Paid time off
Parental leave

About the Team

The Zappos Analytics team converts data into actionable insights to empower partners to make data driven decisions that support profitability and growth.
The team develops performance metrics and visualizations using data from across the organization.
Working with AWS technologies, you will collaborate with cross functional teams to solve business problems and help stakeholders gain timely, valuable insights.

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Redshift Data Jobs

Senior Data Engineer

Data Engineer

Data Engineer, Partner Experience

Data Engineer AWS & Cloud Data Platforms

Data Engineer II

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