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Redshift Jobs in Colorado (NOW HIRING)

Architect and lead delivery of AWS-based lakehouse solutions using Databricks, including integration with AWS-native services such as S3, Glue, Lambda, IAM, and Redshift where appropriate. * Design ...

Data Scientist

Denver, CO · On-site

$136K - $184K/yr

Exposure to big data technologies (Redshift, Snowflake). * Experience working in agile environments. What's in it for you? * Join an ambitious tech company reshaping the way people build digital ...

Architect and lead delivery of AWS-based lakehouse solutions using Databricks, including integration with AWS-native services such as S3, Glue, Lambda, IAM, and Redshift where appropriate. * Design ...

Experience building solutions in the cloud, AWS preferred (Redshift, MSK, EMR). * Experience with OLAP databases (Clickhouse) * Experience building data pipelines at scale, Airflow and Python ...

Senior Analytics Engineer

Denver, CO · On-site +1

$135K - $180K/yr

Comfort working in Redshift or a similar warehouse at scale. * Built something useful with LLMs against your own data and have opinions about what works. Hands-on experience with retrieval or evals ...

Sr. Manager, Engineering

Denver, CO · On-site

$130K - $163K/yr

Working knowledge of the data stack: partner files, schemas, configs, dbt/models, and AWS services (S3, Bedrock, Step Functions, Redshift, RDS). * Technical leadership in execution, meaning you ...

Senior Data Engineer

Denver, CO · On-site +1

$109K - $148K/yr

... Redshift, BigQuery) Preferred * 7 years of experience with data pipeline and workflow management tools (e.g., Apache Airflow, AWS Glue, Azure Data Factory). * 7 years of experience defining system ...

Data Engineer (AWS, Azure, GCP)

Denver, CO · On-site

$117K - $141K/yr

SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle * DevOps: git, docker, subversion, Kubernetes, Jenkins * Additional Technologies: Spark, Databricks, Kafka, Kinesis ...

Extensive experience navigating and manipulating large-scale cloud data environments such as Databricks, Redshift, or Snowflake Minimum Requirements * Minimum Education: Bachelor's Degree in a ...

AWS GLUE, IAM ROLES, LAMBDA, S3 /EFS, REDSHIFT, DMS, KAFKA/EVENT HUB, SNS, SQS, CLOUDWATCH/Event Bridge, AIRFLOW, POSTGRES/ORACLE/DB2, ETC, COLLIBRA, DATABRICKS, DELTA LAKE, PYTHON, SNOWFLAKE ...

Extensive experience navigating and manipulating large-scale cloud data environments such as Databricks, Redshift, or Snowflake Minimum Requirements * Minimum Education: Bachelor's Degree in a ...

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Showing results 1-20

Redshift information

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.

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 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:
Infographic showing various Redshift job openings in Colorado as of May 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution.
Principal Software Engineer

Principal Software Engineer

DSC Resources

Louisville, CO

$150K - $205K/yr

Full-time

Posted 25 days ago


Job description

Principal Software Engineer - Data & Architecture


US-based only | No visa sponsorship | No third-party agencies


We're seeking a Principal Engineer to establish data architecture excellence across our engineering organization. As we transition to autonomous, stream-aligned teams, we need a hands-on data expert who can enable application teams to make sound data decisions independently.

This role works side-by-side with application engineers, not in isolation. Your peers will be full-stack and backend engineers building products. You need to understand application architecture, API design, and deployment practices - and bring deep data expertise to that context.

What You'll Do

  • Work directly with application teams on data architecture for their applications and services
  • Design and review data architectures and models, aligning data ownership with team domain boundaries
  • Review application code and architecture with a focus on data access patterns and performance
  • Evaluate and recommend data storage technologies (MongoDB, PostgreSQL, NoSQL, document stores, warehouses)
  • Optimize database performance: query tuning, indexing, execution plan analysis, resource management
  • Guide technology selection based on read/write patterns, data volumes, and access patterns
  • Define data access patterns: APIs, ORMs, event-driven architectures, replication strategies
  • Establish data replication and syndication strategies (CDC, event streaming, batch processing)
  • Guide data architecture for ML/LLM applications (vector databases, embeddings, RAG patterns)
  • Lead zero-downtime data migrations and infrastructure modernization
  • Hands-on troubleshooting and optimization of critical data systems
  • Establish data quality, monitoring, and observability standards
  • Lead knowledge sharing through workshops, documentation, and office hours

Required Qualifications

  • 10+ years building software applications with a heavy focus on data systems
  • Strong application development background (full-stack, backend, or data-intensive applications)
  • Deep expertise in NoSQL (MongoDB, DynamoDB, DocumentDB) and relational databases (PostgreSQL, SQL Server)
  • Proven experience optimizing database performance at scale (query tuning, indexing, resource management)
  • Strong data modeling and schema design skills
  • Understanding of application architecture, API design, and software development practices
  • Deep experience with cloud data platforms (AWS, Azure, or GCP), including cost optimization
  • Experience with AI/LLM-assisted development tools and agentic software engineering practices
  • Track record of establishing data standards across engineering organizations
  • Excellent communication skills - able to influence and educate engineers at all levels

 

Preferred Qualifications

  • Experience as a full-stack or backend engineer with a deep data focus
  • Proficiency in Python, Java, JavaScript/TypeScript, or C#
  • AWS data services (RDS, Aurora, Redshift), Snowflake, or modern data warehouses
  • Advanced data modeling (temporal models, event sourcing, complex domain modeling)
  • Healthcare or EDI domain knowledge
  • Experience with event-driven architectures and change data capture
  • ETL/ELT tools and data pipeline orchestration
  • Prior Principal/Staff Engineer experience

What We're Looking For

You come from an application development background and understand how data fits into the broader application architecture. You're hands-on and take ownership - you can architect complex data systems and roll up your sleeves to optimize them. You succeed by making others successful - you educate and empower rather than gatekeep. You speak the language of application engineers and can review their code, understand their challenges, and guide them to better data solutions. You understand trade-offs, know when to optimize for speed vs. perfection, and can influence without authority. You've run data systems in production at scale and understand what it takes to keep them performant and reliable.

Salary Range: $150k to $205k plus bonus