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Big Data Jobs in Colorado (NOW HIRING)

Quantix

DevOps Engineer (Big Data)

Denver, CO

$54.25 - $74.25/hr

Job Title: DevOps Engineer (Big Data) Location: Denver, CO Type: Direct Hire Client located in Denver, Colorado is seeking a DevOps Engineer with a Big Data focus for a direct hire position. This ...

Quantix

DevOps Engineer (Big Data)

Denver, CO · On-site

$54.25 - $74.25/hr

They are seeking a DevOps Engineer with a Big Data focus to join a team of developers in designing and supporting systems for processing large volumes of real-time data. Responsibilities : • ...

Quantix

DevOps Engineer (Big Data)

Denver, CO · On-site

$54.25 - $74.25/hr

They are seeking a DevOps Engineer with a Big Data focus to join a 20-person development team. The role involves designing, developing, implementing, and supporting systems that handle large-scale ...

Socket.dev

Data Scientist

Colorado Springs, CO · On-site

$155 - $190/hr

Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment. * Demonstrate expert knowledge of Python ...

Prescient Edge

Senior Data Scientist

Colorado Springs, CO · On-site

$135K - $210K/yr

Design and develop methods, processes, and systems to consolidate and analyze structured and unstructured data from diverse sources including "big data" sources using Python; demonstrate expert ...

CA-One Tech Cloud Inc.

Data Engineer - & GC

Denver, CO · On-site

$117K - $141K/yr

The ideal candidate will have hands-on experience with big data platforms and distributed data processing. * Design, develop, and maintain scalable ETL/ELT data pipelines using Apache Spark and SQL

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All JobsBig Data JobsBig Data Jobs in Colorado

Big Data information

See Colorado salary details

$48.4K

$173.5K

$256K

How much do big data jobs pay per year?

As of Aug 14, 2026, the average yearly pay for big data in Colorado is $173,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,400.00 and $178,800.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities in a big data role?

Professionals working in Big Data roles often spend their days collecting, cleaning, and processing large and complex datasets using various data technologies. They design data models, write complex queries, and develop algorithms to extract actionable insights for business stakeholders. Collaboration with data scientists, software engineers, and business analysts is common, as projects frequently require cross-functional teamwork. Additionally, staying up to date with emerging tools and maintaining data security are critical ongoing tasks.

What is a big data?

A Big Data job involves managing, analyzing, and interpreting large volumes of data to help organizations make data-driven decisions. Professionals in this field work with technologies like Hadoop, Spark, and SQL, and use programming languages such as Python or Java. Roles can vary from data engineers who build data pipelines to data scientists who apply machine learning models. The goal is to extract meaningful insights from complex datasets to improve business operations and strategies.

What are the key skills and qualifications needed to thrive in a big data position?

To thrive in a Big Data role, you need strong analytical abilities, proficiency in programming languages like Python or Java, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Experience with big data tools such as Hadoop, Spark, and NoSQL databases, as well as certifications like Cloudera Certified Data Engineer, are highly valuable. Problem-solving skills, attention to detail, and effective communication are essential soft skills for success. These abilities enable professionals to manage, analyze, and interpret vast datasets to drive business decision-making and innovation.

What jobs are in big data?

Jobs in big data include roles such as Data Engineer, Data Scientist, Big Data Analyst, and Data Architect. These positions typically require skills in programming languages like Python or Java, knowledge of big data tools such as Hadoop or Spark, and experience with data modeling and database management. Certifications in data management or cloud platforms can also enhance job prospects.

What are the most commonly searched types of Big Data jobs in Colorado?

The most popular types of Big Data jobs in Colorado are:

What are popular job titles related to Big Data jobs in Colorado?

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

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

The top searched job categories for Big Data jobs in Colorado are:

Big Data jobs near you
Infographic showing various Big Data job openings in Colorado as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $173,519 per year, or $83.4 per hour.

AWS Data Engineer | Big Data & Cloud Data Engineer

Long Finch Technologies

Glendale, CO • On-site

$110K - $132K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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