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Data Engineer Project Jobs in Colorado (NOW HIRING)

Data Engineer I

Denver, CO · On-site

$85K - $115K/yr

Has completed one or more internships, research or created projects in software or data engineering * Exposure or a decent understanding of Cloud Data Platforms * Exposure/Experience building with ...

Sr Databricks Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery. Data Governance: Consult on, design, and implement governance, security ...

Data Engineer I-II

Brighton, CO · Hybrid

$124K - $149K/yr

On-site work may require the incumbent to report to any United Power location with little notice, depending on business needs and projects. Essential Functions and Responsibilities: Data Engineering ...

Data Engineer I-II

Brighton, CO · On-site

$97 - $127.90/hr

Ability to work independently based on general and specific direction, project task assignments ... The Data Engineer works closely with the Data Engineering Manager and fellow data engineers to ...

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

Support project-based data collection, cleaning, and integration efforts at the plant level to ... Coach plant engineers, analysts, and business users on data definitions, data quality, workflows ...

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

Support project-based data collection, cleaning, and integration efforts at the plant level to ... Coach plant engineers, analysts, and business users on data definitions, data quality, workflows ...

Data Engineer, Senior

Aurora, CO · On-site

$77K - $176K/yr

As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy ...

Senior Data Engineer

Aurora, CO · On-site

$77K - $176K/yr

As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy ...

As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy ...

Snowflake Data Engineer

Broomfield, CO · On-site

$74.02 - $110.27/hr

Experience in leading end‑to‑end design and delivery of scalable data engineering solutions ... This position may require relocation and/or travel to work/project location. * Candidates ...

Data Engineer, Senior

Aurora, CO · On-site

$78 - $176/hr

As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy ...

Clinical Data Engineer

Denver, CO · On-site

$85K - $100K/yr

Clinical Data Engineer - Remote, Must Live in State of Colorado Join Carina Health Network and help ... Provide data analytics report development for specific projects as needed. * Develop data ...

Act as a key partner to senior leadership on strategic data projects and build strong working ... Data Engineering & Distributed Systems * Enterprise-Scale Infrastructure: Architect and manage ...

Act as a key partner to senior leadership on strategic data projects and build strong working ... Data Engineering & Distributed Systems * Enterprise-Scale Infrastructure: Architect and manage ...

Snowflake Data Engineer

Broomfield, CO · On-site

$115K - $138K/yr

... similar projects Your contribution to the team: • A collaborative spirit and excellent ... data engineering solutions using Snowflake, dbt, and Python, ensuring high-performance data ...

Showing results 21-40

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

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

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

Infographic showing various Data Engineer Project job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Principal Data Engineer with Security Clearance

True Anomaly. Inc.

Denver, CO • On-site

$210K - $290K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors - enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground. OUR VALUES * Be the offset. We create asymmetric advantages with creativity and ingenuity. * What would it take? We challenge assumptions to deliver ambitious results. * It's the people. Our team is our competitive advantage and we are better together. YOUR MISSION We are looking for a Principal Data Engineer to provide hands-on technical leadership in designing, building and evolving scalable data platforms. This role will be responsible for solving complex data engineering challenges, establishing engineering standards, and guiding the technical direction of True Anomaly's Enterprise Data Platform. The ideal candidate is a strong hands-on engineer with deep experience in Python, SQL, and modern cloud data platforms such as Snowflake, Databricks or Redshift. This role will embrace the use of AI to aid data engineering and improve productivity, including leveraging AI-assisted development tools, automation and systems to accelerate pipeline development, improve code quality and optimize workflows. RESPONSIBILITIES * Design, develop and maintain scalable data pipelines and data products using Python, SQL and modern data engineering practices, supporting batch, streaming, analytics, and AI/ML workloads * Build and optimize ELT/ETL processes and data models using cloud data platforms with a focus on performance, scalability, reliability and cost efficiency * Establish and apply engineering best practices for data quality, testing, monitoring, observability, CI/CD, version control, security, and production reliability * Own data engineering projects end-to-end, from technical design and development through deployment, production support, troubleshooting, and continuous improvement * Collaborate across engineering, AI/ML, analytics, product and business teams to translate requirements into reliable, scalable data solutions and products and contribute to technical design decisions * Leverage AI-assisted engineering tools while contributing to data engineering technical excellence through code reviews, reusable frameworks, documentation, knowledge sharing, and mentoring other data engineers * Mentor Junior and Senior Data Engineers and provide technical guidance across the engineering teams QUALIFICATIONS * 10+ years of experience in data engineering and software engineering field * Strong hands-on Python and SQL experience * 3+ years of experience with Snowflake, Databricks, or both * Strong understanding of data engineering, data architecture, data modelling and ELT/ETL * Strong understanding of software engineering practices including Git, testing, CI/CD and code reviews * Demonstrated ability to provide technical leadership and mentor other engineers * Adopt AI-assisted engineering tools to improve productivity and delivery speed PREFERRED QUALIFICATIONS * Experience with AWS, Azure or GCP * Experience with Airflow, dbt, Kafka or similar technologies * Experience building out Lakehouse architectures * Experience with data governance, lineage and observability What we are looking for: This is a hands-on Principal level engineering role. The successful candidate should be comfortable writing code, designing architecture, solving difficult technical problems, and influencing best data practices across the company COMPENSATION * Base Salary: Denver - $200,000 - $280,000, Long Beach - $210,000 - $290,000 * Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. ADDITIONAL REQUIREMENTS * Work Location- Long Beach, CA, or Denver, CO. While we observe a hybrid work environment, you will need to be onsite as the business needs require. Onsite requirements are subject to change, particularly when work on classified systems is required. On an average week, you can expect to spend at least 3 days per week in office. * Work environment-the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. * Physical demands-the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us. Create a Job Alert Interested in building your career at True Anomaly? Get future opportunities sent straight to your email. Create alert