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Remote Databricks Data Engineer Jobs in Colorado

Sovrn

Principal Software Engineer

Boulder, CO · On-site +1

$200K - $240K/yr

Sovrn is a Software and Data business that helps Open Web businesses be and remain independent. We ... Java, Kafka (Redpanda), AWS, Databricks, Datadog, ONNX. What you'll be doing: * Own the design and ...

Axos Bank

Sr. Database Administrator

Centennial, CO · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... This role combines strong database administration expertise with modern data engineering ...

Generac

Sales Engineer - Data Centers

Denver, CO · On-site +1

The Sales Engineer - Data Centers works under the guidance of the Senior Director of Sales - Data ... This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ...

KORE1 Technologies

Head of Data Platform

Denver, CO · Remote

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... These systems rely on scalable feature engineering, real-time data pipelines, model infrastructure ...

KORE1 Technologies

Head of Data Platform

Denver, CO · Remote

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... These systems rely on scalable feature engineering, real-time data pipelines, model infrastructure ...

Owens & Minor

Senior Manager, Data Engineering

Denver, CO · On-site +1

$140K - $155K/yr

The role is fully remote. Applicants in different states are encouraged to apply. Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI ...

Ibotta

$228K - $253K/yr

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and ... Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ...

Ibotta

Principal Machine Learning Engineer

Denver, CO · On-site +1

$228K - $253K/yr

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and ... Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ...

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Remote Databricks Data Engineer information

What are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
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Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in Colorado as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Distinguished AI/ML Engineering Lead with Security Clearance

Distinguished AI/ML Engineering Lead with Security Clearance

Frontier Technology Inc

Colorado Springs, CO • Remote

$200K - $225K/yr

Other

Posted 7 days ago

Job description

Overview FTI Defense delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology. FTI Defense is seeking a Distinguished AI/ML Engineer to serve as a technical leader, architect, and integrator - designing, building, deploying, and sustaining AI systems that transform complex mission data into trusted, explainable insights.

This is a hands-on builder role, not an analytics management position. The ideal candidate is equally comfortable writing model code, standing up ML pipelines, and integrating AI inference services into operational systems within secure environments. The right candidate blends deep AI/ML engineering expertise with system-level architecture leadership and an ability to unify data engineering, simulation modeling, and responsible AI principles into scalable, mission-ready capabilities.

Responsibilities * Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. * Design and deploy scalable AI architectures including APIs, microservices, and model-serving frameworks that integrate seamlessly with analytic, simulation, or operational systems. * Lead the full AI/ML lifecycle - from data ingestion and feature engineering through training, deployment, and sustainment within secure DoD environments (IL5/IL6, ATO, GovCloud).

* Engineer event-driven data pipelines and feature stores for both structured and unstructured data, including text, imagery, and simulation outputs. * Ensure Responsible AI practices by embedding traceability, explainability, and confidence scoring into deployed systems. * Implement and maintain MLOps pipelines (MLflow, Kubeflow, Airflow, Docker/Kubernetes) to support continuous integration, retraining, and drift detection.

* Transition R&D prototypes into production, optimizing for mission constraints such as limited compute, edge environments, or disconnected operations. * Provide technical leadership and mentorship, setting standards for model quality, architectural design, and ethical AI deployment across programs. * Collaborate across engineering, data, and modeling teams to unify FTI's AI portfolio, ensuring interoperability and reuse across mission systems.

* Support proposal and solution development, providing technical inputs for AI/ML architectures, data strategies, and Responsible AI assurance frameworks. Education/Qualifications * Active Secret clearance required; TS/SCI strongly preferred. * Bachelor's degree in Computer Science, Engineering, or a related technical field (Master's or Ph.D.

preferred). * 10+ years of overall experience in AI/ML development, with 5+ years designing and deploying scalable AI/ML architectures, including at least two full lifecycle implementations (from prototype to operational system). * Proficiency in Python, PyTorch, TensorFlow, and modern ML frameworks.

* Experience designing or deploying systems using vector databases (Milvus, Pinecone, Weaviate), knowledge graphs, and semantic search frameworks. * Proven ability to design event-driven data pipelines using Databricks, Spark, Flink, or Kafka. * Demonstrated experience deploying AI/ML systems in secure, classified, or edge environments.

* Familiarity with Responsible AI and assurance principles, including bias detection, explainability, human-machine teaming, and hallucination prevention. * Experience integrating AI models into simulation, modeling, or operational planning systems is highly desirable. * Experience transitioning R&D systems into accredited production environments.

* Strong communication and mentoring skills, with the ability to lead technically while remaining deeply hands-on. For this role, the compensation range for candidates is $200K-225k. *Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

FTI has a location-based compensation structure; there may be a different range for candidates in other locations. #LI-KM1 #LI-Remote

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