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Trainee Databricks Data Engineer Jobs in Colorado

Databricks Inc.

Solutions Architect

Denver, CO · On-site

$180 - $248/hr

You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop ...

New

Releady

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

Engineer robust ELT/ETL solutions that ingest, process, and curate structured and semi-structured ... Build and optimize data solutions on cloud platforms such as Snowflake, Databricks, and Synapse ...

GEI Consultants

AI Engineer

Denver, CO · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and ...

GEI Consultants

AI Engineer

Denver, CO

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and ...

EchoStar

AI Data Engineer II

Denver, CO · On-site

$100K - $136K/yr

Expertise in Databricks, Spark, and Delta Lake orchestration to manage large-scale, high-velocity data environments * A strong foundation in DevOps methodologies, specifically regarding ...

Releady

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer ... Extensive experience with modern data platforms including Snowflake and Databricks, and ...

Ibotta

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain code quality, and explore new approaches to data engineering problems * Cross-team Collaboration:

Databricks

Delivery Solutions Architect - Retail

Denver, CO · On-site

$64.75 - $85.50/hr

... the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering ...

New

Pwc

GenAI Python Systems Engineer-Manager

Denver, CO · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Kharon

Senior Data Engineer

Denver, CO · On-site

$160K - $200K/yr

Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent. * Container ... Engineer to join us as we work to shape the way businesses perceive and navigate global risks. To ...

Databricks

Delivery Solutions Architect - Retail

Denver, CO

$64.75 - $85.50/hr

... the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering ...

New

Sovrn

Principal Data Engineer

Boulder, CO · On-site

$140K - $187K/yr

Python, Pyspark, Kafka, Databricks, AWS What you'll be doing: Data Platform & Architecture * Own ... Establish and champion AI engineering practices across the team, from prompt engineering and RAG ...

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All JobsDatabricks Data Engineer JobsTrainee Databricks Data Engineer JobsTrainee Databricks Data Engineer Jobs in Colorado

Trainee Databricks Data Engineer information

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

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The most popular types of Databricks Data Engineer jobs in Colorado are:

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Trainee Databricks Data Engineer jobs near you

Data Engineer - SPACECOM

Agile Defense

Colorado Springs, CO • On-site

$145K - $165K/yr

Other

Posted 20 days ago

Job description

About Agile Defense
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.
Requisition #: 1758
Job Title: Data Engineer - SPACECOM
Location: On-Site, Colorado Springs, CO
Clearance Level: Top Secret, Must Have Clearance to Start
Job Description
Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense's CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.
You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.
This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.
Education and Background
Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (masters degree preferred)., and 3+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.
Years of Experience
3+ years
Required Skills
  • Experience with data visualization and storytelling using tools such as Palantir's MSS Workshop and Slate applications

Preferred Skills
  • 4+ years of experience in applied data science, Palantir Foundry development, or data pipeline development.
  • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).
  • Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost).
  • Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).
  • Strong understanding of data validation, model testing, and performance evaluation techniques.
  • Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.

Working Conditions
Must be able to work onsite at a SCIF
$145,000 - $165,000 a year
Our Core Values
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
  • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
  • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
  • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
  • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
  • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
  • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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