Redshift

Redshift Data Jobs

10 jobs found

Today

Senior Data Engineer - Technology

Neptune Technology Group Inc. Duluth, GA

Duluth, GA

Today

Full time Senior Amazon Web Services AWS

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Job Description

The Senior Data Engineer role at Neptune Technology Group Inc. focuses on owning and modernizing the data pipeline architecture, migrating ETL workloads from Redshift stored procedures and legacy SSIS to scalable, maintainable pipelines built with AWS Glue and S3, and guiding the shift toward near real-time analytics using stream processing technologies such as Apache Flink and ClickHouse.

Responsibilities

Design and implement modern ETL and ELT pipelines leveraging 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, focusing on materialized views, query performance, and cost efficiency.
Advance the platform from batch ETL to near real-time stream processing by evaluating and deploying technologies such as Apache Flink, ClickHouse, Kafka, Kinesis, or equivalent.
Design pipelines capable of supporting both near real-time and batch workloads during the transition.
Collaborate with product and analytics teams to ensure data models support reporting, AI/ML initiatives, and customer-facing features.
Establish patterns and best practices for pipeline development adopted by the broader team.
Participate in production support and incident response for data infrastructure.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with a minimum of five years in data engineering roles.
Extensive experience with AWS Glue (PySpark/Python), S3, and Redshift.
Proven track record migrating ETL workloads from legacy tools such as SSIS or stored procedures 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

Onsite in either Tallassee, Alabama or Duluth, Georgia. Travel to manufacturing or customer locations may be required up to 20% of the time when necessary.

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6d ago

Senior AWS Redshift Data Engineer (Contract | 1099)

Braintrust Seattle, WA

Seattle, WA

6d ago

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

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Job Description

A contract role for a Senior AWS Redshift Data Engineer at Braintrust, focused on optimizing large-scale Redshift environments 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 Details

Contract type: 1099
Hours per week: 35

Duration

Through the end of the year, with an expected July start

Location

Seattle, WA (onsite)

Compensation

USD 140 - 173 per hour

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6d ago

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

Amazon Web Services, Inc. Pittsburgh, PA

Pittsburgh, PA

6d ago

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

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Job Description

Amazon Web Services, Inc. offers an onsite Data Engineer role in Pittsburgh that combines a competitive salary with a strong benefits package and opportunities to influence AWS Enterprise Support Strategy and Ops. The position pays between USD 132,100 and 178,800 per year and places you in a collaborative environment that values data-driven decision making and cross-team collaboration with data scientists and business intelligence engineers.

Benefits

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

Responsibilities

Design and maintain an analytical data infrastructure
Manage AWS resources including EC2, EMR, S3, Glue, Redshift, and related services
Collaborate with other technology teams to extract, transform, and load data from diverse sources using SQL and AWS big data technologies
Stay current with the latest AWS capabilities to deliver new features and improve efficiency
Work with Data Scientists and Business Intelligence Engineers to promote best practices in reporting and analysis
Continuously enhance reporting and analysis processes to simplify self-service access for customers

Requirements

Bachelor's degree
Experience as a data engineer or related specialty 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 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 building ETL pipelines

Technologies

SQL
Redshift
Quicksights
EC2
EMR
S3
Glue
Kinesis
FireHose
Lambda
IAM

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6d ago

Data Engineer II, Intl. Seller Services

Amazon.com Services LLC - A57 Seattle, WA

Seattle, WA

6d ago

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

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Job Description

The Data Engineer II will design and build the next generation of Data and ML infrastructure for GenAI applications within Amazon's International Seller Services, collaborating with Applied Scientists, Data Scientists, and Economists to turn research into scalable data products. This onsite role in Seattle, WA offers a salary range of USD 132,100 - 178,800 per year.

Responsibilities

Provide technical leadership and drive data engineering initiatives, delivering end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost effective.
Work with large datasets and oversee data organization and curation for analytics, maintaining 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.
Develop data ingestion routines using best practices in data modeling and ETL/ELT processes, 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.

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

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 and AD&D insurance
Supplemental life plans

Description

Become a member of Amazon's International Seller Services Central Analytics Data Engineering team, addressing modern data challenges by blending traditional engineering practices with analytics and Generative AI. The group seeks a proactive Data Engineer to help design and build the next generation of data and ML infrastructure that powers GenAI applications. We are a team of Data Engineers collaborating closely with Applied Scientists, Data Scientists, and Economists to transform machine learning, deep learning, and AI research into scalable products that serve customers worldwide.

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7d ago

Senior AWS Redshift Data Engineer (Contract | 1099)

Braintrust Austin, TX

Austin, TX

7d ago

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

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Job Description

Senior AWS Redshift Data Engineer on a full-time 1099 contract through the end of the year, based in Austin, TX, with an hourly rate of USD 140 - 173.

Responsibilities

Lead optimization and ongoing maintenance of large-scale AWS Redshift clusters to ensure robust data warehouse performance and scalable queries (60%)
Enhance and support ETL pipelines, leveraging Kafka streaming and ECS-based jobs to guarantee timely data delivery and reliability (30%)
Improve BI performance and data availability for reporting tools, including Looker, to support analytics needs (10%)
Prepare data assets for AI-enabled applications and MCPs to enable AI workflows
Collaborate closely with the data engineering and BI teams to align data strategies and delivery

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
Amazon ECS
Looker
Python

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1mo ago

Senior Data Engineer

Amazon.com Services LLC Seattle, WA

Seattle, WA

1mo 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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1mo ago

Data Engineer

Amazon Web Services, Inc. Dallas, TX

Dallas, TX

1mo 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.