Redshift

Redshift Engineer Jobs

8 jobs found

7d ago

Senior Data Engineer - Technology

Neptune Technology Group Inc. Duluth, GA

Duluth, GA

7d ago

Full time Senior Amazon Web Services AWS

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Job Description

Neptune Technology Group Inc. is seeking a Senior Data Engineer to own and modernize our data pipeline architecture. The role centers on migrating ETL workloads from Redshift stored procedures and legacy SSIS into scalable, maintainable pipelines built with AWS Glue and S3, while guiding the move toward near real-time analytics using stream processing technologies such as Apache Flink and ClickHouse.

This on-site position is based in Duluth, GA.

Responsibilities

Design and build modern ETL/ELT pipelines using AWS Glue, S3, and related services to replace legacy stored procedures and SSIS jobs.
Architect data transformation workflows that are testable, version-controlled, and observable.
Optimize and maintain the Redshift data warehouse, including materialized views, query performance, and cost efficiency.
Drive the evolution from batch ETL to near real-time stream processing, evaluating and implementing technologies such as Apache Flink, ClickHouse, Kafka, Kinesis, or equivalent platforms.
Design pipelines that support both near real-time and batch workloads as the platform transitions.
Partner with product and analytics teams to ensure data models support reporting, AI/ML, and customer-facing features.
Establish patterns and best practices for pipeline development that the broader team can adopt.
Participate in production support and incident response for data infrastructure.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Minimum of 5+ years in data engineering roles.
Deep experience with AWS Glue (PySpark/Python), S3, and Redshift.
Proven track record migrating ETL workloads from legacy tools (SSIS, stored procedures, or similar) to modern cloud-native pipelines.
Strong SQL skills with best practices and SQL linting, particularly in Redshift or other columnar/MPP databases.
Experience with or strong interest in stream processing frameworks (Flink, Spark Streaming, Kafka Streams, or similar).
Familiarity with data pipeline orchestration, monitoring, and error handling patterns.
Experience with infrastructure-as-code and CI/CD for data pipelines.

Technologies

Python
PySpark
SQL
AWS Glue
S3
Redshift
SSIS
Apache Flink
ClickHouse
Kafka
Kinesis
Apache Spark Streaming
Kafka Streams
Aurora MySQL
DynamoDB
Apache Druid
dbt
Airflow
Step Functions
MQTT

Location

Locations: Tallassee, Alabama or Duluth, Georgia. This is an onsite role in Duluth, GA, with travel to manufacturing or customer locations up to 20% as needed.

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13d ago

Senior AWS Redshift Data Engineer (Contract | 1099)

Braintrust Seattle, WA

Seattle, WA

13d ago

$140 - $173/hr Contract Amazon Web Services Analytics Big Data

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Job Description

Senior AWS Redshift Data Engineer on a 1099 contract through year-end at Braintrust in Seattle, WA (onsite), focusing on optimizing the AWS Redshift environment and data infrastructure.

Responsibilities

Optimize and maintain large-scale AWS Redshift clusters and data warehouse performance (60%)
Improve and support ETL pipelines using Kafka and ECS jobs (30%)
Enhance BI performance and data availability for reporting tools such as Looker (10%)
Prepare and expose data for AI enabled applications and MCPs
Collaborate closely with the data engineering and BI teams

Requirements

7–10 years of experience in data engineering, database administration, or related roles
Must be based in the United States
Extensive experience optimizing AWS Redshift clusters, including environments with hundreds of terabytes of data
Strong experience tuning, repairing, and maintaining heavily queried and frequently updated Redshift tables
Experience configuring and managing Kafka streams
Experience with Looker or a similar BI platform
Familiarity with Python and/or AI enabled data workflows is a strong plus

Technologies

AWS Redshift
Kafka
ECS
Looker
Python

Contract Type

1099 contract; 35 hours per week

Duration

Through the end of the year; expected start in July

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14d ago

Data Engineer, AWS Support S&O - ESSO - Strategy, Planning & Inspection (SPI)

Amazon Web Services, Inc. Pittsburgh, PA

Pittsburgh, PA

14d ago

$132k - $179k/yr Full time Amazon Quicksight Amazon Web Services AWS

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Job Description

The Data Engineer supporting AWS Enterprise Support Strategy and Operations designs and maintains analytics infrastructure to enable key metrics, dashboards, and data-driven decisions. The role collaborates with data scientists and BI engineers, leveraging SQL, Redshift and Quicksights to deliver actionable insights across SPI operations.

Overview

Within the Strategy, Planning and Inspection group, the Data Engineer builds scalable data architectures, develops and sustains data pipelines, and curates dashboards that inform strategic and operational decisions. The position emphasizes SQL driven analytics using Redshift and Quicksights, with a strong focus on collaborating with Data Scientists and BI Engineers to promote best practices in reporting and analysis.

Location

Pittsburgh, PA (onsite)

Salary

USD 132,100 - 178,800 per yearly

Responsibilities

Architect, implement, and maintain an analytics data platform to support reporting and analysis.
Administer AWS services such as EC2, EMR, S3, Glue, Redshift, and related infrastructure.
Collaborate with cross-functional technology teams to extract, transform, and load data from diverse sources using SQL and AWS big data technologies.
Continuously explore new AWS technologies to introduce capabilities and improve efficiency.
Partner with Data Scientists and BI Engineers to identify and promote best practices in reporting and analytics.
Enhance ongoing reporting and analytics workflows, automating or simplifying self-service options for customers.

Requirements

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

Technologies

SQL
Redshift
Quicksights
EC2
EMR
S3
Glue
Kinesis
FireHose
Lambda
IAM

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

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14d ago

Data Engineer II, Intl. Seller Services

Amazon.com Services LLC - A57 Seattle, WA

Seattle, WA

14d ago

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

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Job Description

Join Amazon's International Seller Services central analytics data engineering group to design scalable data and ML infrastructure powering GenAI applications.

Responsibilities

Provide technical leadership, drive data engineering initiatives, and deliver end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.
Work with large datasets, organizing and curating data for analytics with a strategic, long term view on architecting advanced data ecosystems.
Build efficient and scalable data services and integrate data systems with AWS tools and services to support diverse customer use cases and applications.
Design, implement, and operate large-scale, high-volume, high-performance data structures for analytics and data science.
Implement data ingestion routines using best practices in data modeling and ETL/ELT processes by leveraging AWS technologies and big data tools.
Gather business and functional requirements and translate them into robust, scalable, operable solutions with a flexible data architecture.
Collaborate with engineers to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
Identify opportunities to improve existing data solutions and drive continuous enhancements.

Requirements

Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
3+ years of data engineering experience.
Experience with data modeling, warehousing, and building ETL pipelines.
1+ years developing and operating large-scale data structures for business intelligence analytics, including ETL/ELT processes, OLAP technologies, data modeling, SQL, and Oracle.
3+ years of non internship data engineering experience.

Technologies

Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM
Oracle
SQL

Compensation

USD 132,100 - 178,800 per year

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Adoption and Surrogacy Reimbursement coverage
Employee Assistance Program (EAP)
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Basic Life & AD&D insurance
Supplemental life plans

Description

Based in Seattle, WA onsite, join Amazon's International Seller Services Central Analytics Data Engineering team, tackling modern data challenges by blending traditional engineering practices with transformative analytics and GenAI.

ISS is seeking a motivated, experienced Data Engineer to help design and build the next generation of data and ML infrastructure to power GenAI applications.

We collaborate with Applied Scientists, Data Scientists, and Economists to translate ML research into scalable products that serve customers around the world.

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14d ago

Senior AWS Redshift Data Engineer (Contract | 1099)

Braintrust Austin, TX

Austin, TX

14d ago

$140 - $173/hr Contract Amazon Web Services Analytics Cloud

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Job Description

Braintrust is seeking a Senior AWS Redshift Data Engineer to join on a full-time 1099 contract through year-end. This onsite role in Austin, TX centers on optimizing the AWS Redshift environment and the broader data infrastructure to support scalable analytics and AI-enabled workflows. The successful candidate will collaborate closely with data engineering and BI teams to improve data availability and reporting performance.

Responsibilities

Tune and maintain large-scale AWS Redshift clusters and data warehouses to sustain high performance and reliability
Develop and support ETL pipelines using Kafka streams and ECS-based jobs
Enhance BI performance and data accessibility for Looker and other reporting tools
Prepare data assets for AI-enabled applications and MCPs
Work collaboratively with data engineering and BI teams to align data flows and analytics goals

Requirements

Seven to ten years of experience in data engineering, database administration, or related roles
Based in the United States
Extensive experience optimizing AWS Redshift clusters, including environments with hundreds of terabytes of data
Strong track record tuning, repairing, and maintaining heavily queried and frequently updated Redshift tables
Experience configuring and managing Kafka streams
Experience with Looker or a similar BI platform
Familiarity with Python and/or AI-enabled data workflows is a strong plus

Technologies

AWS Redshift
Kafka
Amazon ECS
Looker
Python

Compensation

Hourly rate: USD 140 - 173

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1mo ago

Senior Data Engineer

Amazon.com Services LLC Seattle, WA

Seattle, WA

1mo ago Closed

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

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

Based onsite in Seattle, WA, this Senior Data Engineer role within Prime Video's data team focuses on solving large-scale data warehousing problems, building ETL pipelines on AWS, and enabling scalable data processing and self-service data access. The position offers a salary range of USD 154,600 to 209,100 per year, plus a comprehensive benefits package to support health, financial security, and work-life balance.

Responsibilities

Solve large-scale data warehousing challenges using AWS services to optimize big data processing, data warehouse design, and self-service data access.
Contribute to automation and optimization initiatives across DW and ETL maintenance and deployment.
Collaborate with business and technical stakeholders on non-standard problems, applying creative problem solving to deliver actionable outputs.
Develop scalable data processing systems and tools that perform efficiently during seasonal spikes.
Impact day-to-day decision making within the team through reliable data solutions and analytics.

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. It is 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 teams build intelligent systems that integrate content and data to deliver personalized customer experiences across streaming, live events, and emerging formats.

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1mo ago

Data Engineer

Amazon Web Services, Inc. Dallas, TX

Dallas, TX

1mo ago Closed

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

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

Amazon Web Services, Inc. is seeking a Data Engineer to design and sustain analytical data infrastructure, develop metrics and dashboards, and enable data-driven decision making. This on-site role in Dallas, TX collaborates with data scientists and business intelligence engineers to transform data into actionable insights within AWS’s cloud ecosystem. The position offers a salary range of USD 132,100 to 178,800 per year and requires a bachelor's degree with at least three years of relevant experience.

Responsibilities

Architect and maintain an analytical data infrastructure
Oversee AWS resources such as EC2, EMR, S3, Glue, Redshift, and related services
Collaborate with cross-functional tech teams to extract, transform, and load data from diverse sources using SQL and AWS big data tools
Evaluate and adopt emerging AWS technologies to deliver new capabilities and improve efficiency
Work with Data Scientists and BIEs to identify and promote best practices in reporting and analysis
Continuously enhance reporting and analysis workflows, automating or simplifying self-service options for customers

Requirements

Bachelor's degree
Experience as a data engineer or related field (such as software engineering, BI engineering, or data science) with a proven ability to manipulate, process, and derive value from large datasets
Three or more years building and operating large-scale data structures for BI analytics, with strong SQL experience
Experience leading technically and mentoring other engineers on data engineering best practices
Experience designing and operating highly available distributed systems for data extraction, ingestion, and processing of large datasets
Experience with data modeling, data 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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1mo ago

Data Engineer, Partner Experience

Amazon.com Services LLC Seattle, WA

Seattle, WA

1mo ago Closed

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

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