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Redshift Jobs in Colorado (NOW HIRING)

Business (Data) Analyst

Denver, CO · On-site

$80 - $150/hr

SQL, SNOWFLAKE, DATABRICKS, AWS, REDSHIFT, DATA WAREHOUSE, ETL * Experience: 7 + years * Develop Data Solutions: Analyze, design, and build applications and data pipelines using AWS, Databricks ...

Sr. Database Administrator

Denver, CO · On-site

$51.25 - $70.50/hr

Manage Amazon RDS PostgreSQL, Aurora PostgreSQL, and Amazon Redshift platforms. * Lead database modernization and migration initiatives from legacy database platforms to PostgreSQL. * Implement ...

Sr. Database Administrator

Denver, CO

$51.25 - $70.50/hr

Manage Amazon RDS PostgreSQL, Aurora PostgreSQL, and Amazon Redshift platforms. * Lead database modernization and migration initiatives from legacy database platforms to PostgreSQL. * Implement ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Skills and Requirements • 10+ years' experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift). • Experience in the design ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Skills and Requirements • 10+ years' experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift). • Experience in the design ...

Knowledge of data warehouse and Data Lake technologies like AWS Redshift, Snowflake, Databricks. * Familiarity with using tools like Jira, Confluence, ServiceNow, or similar Agile tools.

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Strong SQL skills with BigQuery, Snowflake, or Redshift * Hands-on work with orchestration tools * Familiarity with GCP services (Cloud SQL, Pub/Sub, Cloud Storage) * Experience with DBT, Docker, CI ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Strong SQL skills with BigQuery, Snowflake, or Redshift * Hands-on work with orchestration tools * Familiarity with GCP services (Cloud SQL, Pub/Sub, Cloud Storage) * Experience with DBT, Docker, CI ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

... Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.

Sr. Data Engineer

Greenwood Village, CO · On-site

$115K - $139K/yr

Experience with cloud platforms like AWS, including services such as S3, Lambda, Redshift, and EMR Plusses: * Understanding of AI technologies and their application (kiro, claude, genAI tools) As ...

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc ...

Strong hands-on experience with AWS data services (EC2, S3, Redshift) and solid understanding of core cloud architecture components including VPC, IAM, CloudWatch, and Data Lake frameworks

... and Amazon Redshift. We are seeking a Systems Development Engineer II who can think big and simplify solutions to complex problems, all while ensuring our customers continue to have the best ...

... and Amazon Redshift. We are seeking a Systems Development Engineer II who can think big and simplify solutions to complex problems, all while ensuring our customers continue to have the best ...

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc ...

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Showing results 1-20

Redshift information

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually in the US include executive roles such as CEOs, CFOs, and other C-suite positions, as well as specialized professions like investment bankers, senior surgeons, and certain technology executives. These roles typically require extensive experience, advanced skills, and often involve leadership responsibilities or performance-based bonuses.

Is Redshift a good company to work for?

Redshift is a data warehousing service offered by Amazon Web Services, not a company employing individuals directly. If referring to a job role related to Redshift, such as a Redshift engineer, the work typically involves cloud computing, data management, and SQL skills. The work environment depends on the employer using Redshift, which can vary widely in company culture and benefits.

What are the key skills and qualifications needed to thrive in the Redshift position, and why are they important?

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.

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 depending on their policies. Data-related roles such as data engineers or analysts working with Redshift can often be performed remotely if the employer supports flexible work arrangements.

What is a Redshift job?

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 are some typical challenges faced by professionals working with Amazon Redshift, 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.

What is redshift recruiting?

Redshift recruiting refers to the process of hiring professionals for roles related to Amazon Redshift, a data warehousing service. It often involves assessing skills in data management, SQL, and cloud computing, and may require familiarity with AWS tools and certifications.
What are popular job titles related to Redshift jobs in Colorado? For Redshift jobs in Colorado, the most frequently searched job titles are:
Infographic showing various Redshift job openings in Colorado as of July 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution.

Business (Data) Analyst

Apetan Consulting llc

Denver, CO • On-site

$80 - $150/hr

Contractor

Posted 14 days ago


Job description

Job Title : Business (Data) Analyst

Job Location:- Denver, CO (Need only local candidate)

Job Type : Contract

Skills: SQL, SNOWFLAKE, DATABRICKS, AWS, REDSHIFT, DATA WAREHOUSE, ETL

  • Experience: 7+ years
  • Develop Data Solutions: Analyze, design, and build applications and data pipelines using AWS, Databricks, Redshift, and Snowflake.
  • ETL/ELT Development: Analyze standards and procedures for, and design data extraction, transformation, and loading (ETL/ELT) processes for both batch and real-time data.
  • Database Management: Design Data Lakes and Data Warehouses, and work with databases like Oracle and SQL Server.
  • SQL Expertise: Write advanced SQL queries, including performance tuning, to support data analysis and application needs.
  • Full Software Development Lifecycle: Handle the entire SDLC for data warehouse applications, from requirements analysis to implementation, testing, and debugging.
  • System Integration: Integrate, enhance, and fine-tune Enterprise Data Warehouses to consolidate data from various sources.