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Redshift Jobs in Colorado (NOW HIRING)

Modivcare

Cloud Engineer III

Denver, CO · On-site

$97.20 - $140/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and maintain cloud data warehouse solutions using AWS services including Redshift, S3, Glue, Athena, Lambda, and Step Functions.* Design and maintain dimensional data models supporting ...

Qode

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 ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... Redshift). • Experience in the design and development of robust and scalable data pipelines leveraging AWS native services. • Proficiency in leveraging Snowflake for data transformations ...

ModivCare Solutions, LLC

MDM Architect

Denver, CO · On-site

$140 - $185/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineering: build and maintain cloud-native data pipelines using AWS Redshift, Glue, Lambda, S3, Athena, Step Functions; develop transformation logic with SQL and dbt; support CI/CD and IaC ...

New

Fluid Consulting Services

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 ...

Fluid Consulting Services

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 ...

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators (Dagster, Airflow, Prefect) * Experience working with Python * Strong communication skills both in ...

Ookla

Data Engineer

Denver, CO

$85K - $125K/yr

Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators (Dagster, Airflow, Prefect) * Experience working with Python * Strong communication skills both in ...

Ookla

Data Engineer

Denver, CO

$85K - $125K/yr

Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators (Dagster, Airflow, Prefect) * Experience working with Python * Strong communication skills both in ...

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators (Dagster, Airflow, Prefect) * Experience working with Python * Strong communication skills both in ...

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Redshift information

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 Colorado?

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

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

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

Redshift jobs near you
Infographic showing various Redshift job openings in Colorado as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 67% Physical, 8% Hybrid, and 25% Remote job distribution.

AWS Data Engineer | Big Data & Cloud Data Engineer

Long Finch Technologies

Littleton, CO • On-site

$115K - $138K/yr

Full-time

Posted 6 days ago

Job description

We are seeking an experienced AWS Data Engineer / Big Data Technology Lead to design, develop, and maintain scalable data solutions using AWS cloud technologies and big data frameworks. The ideal candidate will have strong experience building data pipelines, managing data platforms, and delivering enterprise-level analytics solutions.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and architectures on AWS to support analytics, reporting, and operational workflows.
  • Develop ETL/ELT solutions using AWS services.
  • Build and manage cloud-based data lakes and data warehouse solutions using: Amazon S3, Amazon Athena, Amazon Redshift and Amazon RDS.
  • Design and implement scalable data architectures while ensuring data quality, security, and integrity.
  • Develop data processing workflows to support large-scale data ingestion and transformation.
  • Collaborate with data scientists, analysts, and business teams to curate and optimize production-ready datasets.
  • Monitor, troubleshoot, and improve data pipeline performance and reliability.
  • Work with DevOps tools and practices including Jenkins and Maven for deployment automation.
Required Experience & Skills
  • 7+ years of experience in Big Data Engineering, Data Engineering, or related roles.
  • Strong hands-on experience with AWS cloud services and Big Data technologies.
  • Experience designing, developing, and maintaining scalable data pipelines and cloud-based data architectures.
  • Proficiency in developing ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Kinesis, and Step Functions.
  • Experience building and managing data lakes and data warehouses using AWS services including S3, Athena, Redshift, and RDS.
  • Strong knowledge of data modeling, data integration, and ensuring data quality and integrity.
  • Experience working with Hadoop and other Big Data technologies.
  • Strong SQL skills with experience in databases such as Oracle 10g/11g/12c and SQL Server.
  • Experience with Unix/Linux environments and scripting.
  • Familiarity with DevOps tools such as Jenkins and Maven.
  • Experience with monitoring and logging tools such as Splunk is preferred.
  • Ability to collaborate with data scientists, analysts, and cross-functional teams to deliver production-ready data solutions.

Apply