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Redshift Jobs in California (NOW HIRING)

Brillius

Sr Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Key Responsibilities Design, build, and maintain ETL/ELT pipelines using AWS services such as Glue, S3, and Redshift. Develop complex and optimized SQL queries on large telemetry and manufacturing ...

Intellyk Inc.

Technical Data Analyst

Mountain View, CA · On-site

... Redshift, Athena, and AWS core concepts) • Tableau/Qlik Sense Data Visualization (nice-to-have) • Clickstream data experience - Amplitude (nice-to-have) Qualifications : Required : • 5+ years ...

ClifyX

AWS Technical Architect

Los Angeles, CA · On-site

$69.75 - $91.50/hr

Responsibilities : • Good understanding of DW practices BI in general • Strong SQL Skills Will be working on Ascend.io • Strong Python skills • Exposure to AWS Athena and Redshift • Airflow ...

ClifyX

AWS Engineer

San Diego, CA · On-site

Responsibilities : • Experience working and implementing AWS Data Lakes • Experience working with the AWS ecosystem (Redshift, RDS, EMR, Kinesis, S3, Glue, DMS, Athena, EC2, Lambda etc.) • ...

ClifyX

AWS Solution Architect

Los Angeles, CA · On-site

Customer interaction skills. • Experience working and implementing AWS Data Lakes Experience working with the AWS ecosystem Redshift, RDS, EMR, Kinesis, S3, Glue, DMS, Athena, EC2, Lambda etc. • ...

Apex Systems

AWS Senior Engineer

Torrance, CA · On-site

$107K - $147K/yr

Design and implement data integration workflows using tools such as AWS Glue/EMR, AWS MWAA (Airflow), Lambda, and Redshift.Utilize Pyspark, Apache Spark, and Python for processing large datasets.

IT America Inc

Sr. Data Engineer (AI + AWS)

Irvine, CA · On-site

$122K - $147K/yr

Develop cloud-native data solutions utilizing AWS services such as S3, EMR, Glue, Lambda, Redshift, Athena, ECS/EKS, IAM, CloudWatch, and Step Functions. * Build and optimize data ingestion ...

MSR Cosmos

AWS Data Architect

Gardena, CA · On-site

$65.25 - $84/hr

Select appropriate AWS services S3 Glue Redshift Athena Lambda based on data volume access patterns and performance requirements * Design and build data pipelines to extract transform and load data ...

Perficientcorp Inc

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Redshift AWS Athena S3, Glue, Lambda (nice to have but expected in ecosystem) * Advanced Python programming for data engineering * Strong expertise in data modeling (star/snowflake schemas ...

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Redshift information

See California salary details

$14.8K

$238.1K

$381.9K

How much do redshift jobs pay per year?

As of Sep 11, 2026, the average yearly pay for redshift in California is $238,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $197,400.00 and $296,100.00 per year, depending on experience, location, and employer.

What is a Redshift?

A Redshift job typically refers to a task or process involving Amazon Redshift, a cloud-based data warehousing service. This can include roles such as database administrators, data engineers, or analysts who work with Redshift to store, process, and analyze large datasets. Common responsibilities involve writing SQL queries, optimizing performance, managing clusters, and integrating Redshift with data pipelines.

What skills and qualifications are needed for a Redshift position?

To thrive in a Redshift-focused role (such as an Amazon Redshift Database Administrator or Redshift Data Engineer), you need strong expertise in cloud data warehousing, SQL, ETL development, and data modeling, often backed by a degree in computer science or a related field. Proficiency with Amazon Web Services (AWS), specifically Redshift, as well as tools like Python, ETL platforms, and related AWS certifications are highly valuable. Effective communication, analytical thinking, and problem-solving skills enable you to translate business needs into scalable data solutions and collaborate with diverse teams. These skills are essential for ensuring data integrity, optimizing performance, and supporting strategic business decisions in a cloud-based data environment.

What challenges do professionals working with Amazon Redshift face, and how can I prepare for them?

Working with Amazon Redshift often involves optimizing large-scale data pipelines, troubleshooting performance bottlenecks, and ensuring data security in a cloud environment. It can be challenging to balance query speed with cost efficiency, especially as data volumes grow rapidly. Familiarity with Redshift best practices—such as schema design, compression techniques, and query optimization—will help you address these issues effectively. Proactively staying updated on AWS feature releases and participating in team knowledge sharing can also make problem-solving more efficient and collaborative.

Does Redshift offer remote positions?

Redshift, as a data warehousing service, does not directly offer remote positions. However, companies that use Redshift for data analytics may have remote job opportunities in data engineering, analysis, or related roles, depending on the employer's policies. Remote work availability varies by organization and role requirements.

What are popular job titles related to Redshift jobs in California?

For Redshift jobs in California, the most frequently searched job titles are:

What job categories do people searching Redshift jobs in California look for?

The top searched job categories for Redshift jobs in California are:

Redshift jobs near you
Infographic showing various Redshift job openings in California as of September 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $238,136 per year, or $114.5 per hour.

Sr Data Engineer

Sunnyvale, CA • On-site

Brillius
IT Services • 51 - 200 employees
Learn more about Brilliusexternal

$136K - $163K/yr

Other

Posted 7 days ago

Job description

Looking for only Local candidates who can attend F2F interviews.

Key Responsibilities
Design, build, and maintain ETL/ELT pipelines using AWS services such as Glue, S3, and Redshift.
Develop complex and optimized SQL queries on large telemetry and manufacturing datasets.
Build data models, reporting datasets and dashboards.
Migrate legacy pipelines and APIs while validating data/output consistency.
Implement data quality checks, monitoring, alerts, and troubleshooting.
Perform pipeline support, failure remediation, and data backfills.
Develop self-service tools to simplify data onboarding and automation.
Explore AI/GenAI automation and agents for repetitive data engineering tasks.


Required Skills
3+ years of Data Engineering / Database / BI experience
Strong SQL and query optimization skills
Hands-on Python and/or PySpark
Experience with ETL, data warehousing, and data modeling
AWS experience with S3, Glue, Redshift, Athena, Lambda, RDS, or Step Functions
Experience with BI tools


Nice to have 
Experience with Apache Spark / PySpark and AWS Glue
Experience with AI/ML or GenAI automation
Experience with telemetry, manufacturing, IoT, hardware, reliability, thermal, or battery data
Strong stakeholder communication and problem-solving skills

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