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Data Engineer Remote Contract Jobs in Colorado (NOW HIRING)

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 ...

Engineer - Commercial Roofing

Denver, CO ยท Remote

$27.50 - $37.75/hr

Strong ability to articulate what you're seeing and why it matters, you'll be helping us turn field judgment into a structured framework Benefits This is a flexible, fully remote contract engagement ...

Senior Manager, Data Engineering

Denver, CO ยท 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 ...

This position is available as a hybrid or fully remote work schedule. Responsibilities: Solution ... Establish integration patterns (REST/GraphQL APIs, event-driven messaging, ETL/ELT), data contracts ...

Cloud Engineer III

Denver, CO ยท Remote

$57.50 - $76.75/hr

As a Cloud Engineer III, you'll build scalable data pipelines, cloud data warehouse solutions, and ... Work effectively with remote and offshore teams to deliver data platform initiatives. We are ...

... product designers, developers and manufacturers to help them achieve higher product quality ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

Showing results 41-60

Data Engineer Remote Contract information

What is a data engineer remote contract?

A Data Engineer Remote Contract position involves building and maintaining the infrastructure and systems that enable organizations to collect, store, and analyze large amounts of data, all while working remotely. As a contractor, you are typically hired for a specific project or period and are not a permanent employee. This role often includes tasks like designing data pipelines, optimizing database performance, ensuring data quality, and collaborating with data scientists and analysts. Working remotely provides flexibility in location, but contractors are expected to communicate regularly with teams and meet project deadlines.

What are the key skills and qualifications needed to thrive as a data engineer in a remote contract role?

To thrive as a Data Engineer in a remote contract position, you need strong programming skills (such as Python or Java), deep knowledge of database systems, and a background in computer science or a related field. Proficiency with data pipeline tools (like Apache Airflow), cloud platforms (such as AWS or Azure), and ETL processes, along with relevant certifications, is highly valued. Excellent problem-solving abilities, clear communication, and self-motivation are key soft skills, especially when working independently or with distributed teams. These skills ensure the reliable design, development, and maintenance of scalable data systems, which are critical for organizations to leverage data effectively.

What are some common challenges faced by data engineers working remotely on contract assignments?

Data Engineers working remotely on contract assignments often navigate challenges such as aligning with distributed teams across different time zones, ensuring secure access to sensitive data, and maintaining clear communication with stakeholders. Since contractors may work with diverse tech stacks across projects, adapting quickly to new tools and company-specific data infrastructures is essential. Additionally, balancing multiple deliverables and onboarding efficiently without in-person support requires strong self-management and proactive collaboration skills.

What is the difference between Data Engineer Remote Contract vs Data Analyst Remote Contract?

AspectData Engineer Remote ContractData Analyst Remote Contract
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, reporting and visualization tools
Employer & Industry UsageTech, finance, healthcareMarketing, retail, consulting
Common Search & ComparisonYesYes

The main difference between Data Engineer Remote Contract and Data Analyst Remote Contract lies in their focus and skill sets. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in cloud platforms and programming. Data Analysts interpret data, create reports, and visualize insights. Both roles are remote and industry-specific, but they serve different functions within organizations.

What are the most commonly searched types of Data Engineer Remote jobs in Colorado? The most popular types of Data Engineer Remote jobs in Colorado are:
What are popular job titles related to Data Engineer Remote Contract jobs in Colorado? For Data Engineer Remote Contract jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Engineer Remote Contract jobs in Colorado look for? The top searched job categories for Data Engineer Remote Contract jobs in Colorado are:
What cities in Colorado are hiring for Data Engineer Remote Contract jobs? Cities in Colorado with the most Data Engineer Remote Contract job openings:
Infographic showing various Data Engineer Remote Contract job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior MLOps Platform Engineer {S}

The Stratagem Group

Colorado Springs, CO โ€ข On-site, Remote

$90K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

ARKA Group L.P. ("ARKA") is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.
Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!
Position Overview:
Our AI Center of Excellence builds the next generation of Agentic AI products that autonomously reason, plan, and act on behalf of our customers. To deliver these capabilities at scale, we need a platform engineering group that provides a robust, secure, and highly available MLOps foundation across both on premise clusters and AWS. The team works closely with data scientists, product engineers, and SREs to turn experimental models into reliable services that power mission critical applications.
In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that's of interest to you.
Why join us
  • Shape the end-to-end lifecycle of cutting-edge AI services-from model training to production inference.
  • Influence architecture decisions for a hybrid cloud environment that will serve thousands of concurrent agents.
  • Collaborate with world-class researchers and product teams while enjoying a strong engineering culture focused on automation, observability, and reliability.

Responsibilities:
  • Design, implement, and operate a unified MLOps platform that supports both on-premise Kubernetes clusters and AWS. The platform should enable rapid onboarding of new Agentic AI services and provide consistent governance across environments.
  • Develop reusable CI/CD pipelines (GitLab CI) for model packaging, containerization, automated testing, canary releases, and rollbacks.
  • Build observability, monitoring, and alerting stacks (Prometheus, Grafana, OpenTelemetry, CloudWatch) to track inference latency, throughput, resource utilization, and data drift for real time and batch workloads.
  • Create self-service tooling (CLI, SDKs, UI dashboards) that allows data science and product teams to register models, define inference endpoints, and manage versioning without deep DevOps involvement.
  • Architect and maintain data pipelines that feed training data, model artifacts, and inference logs into a governed data lake (S3, on prem object store).
  • Collaborate with research and product engineers to translate experimental Agentic AI prototypes into production grade services, ensuring reproducibility, security, and compliance.
  • Drive performance optimization for inference workloads (GPU/CPU scaling, model quantization, batching strategies)
  • Champion best practices in security (IAM, network policies, secret management), cost efficiency, and disaster recovery for the hybrid infrastructure.
  • Mentor junior engineers and contribute to internal knowledge bases, upskilling, and review processes.

Required Qualifications:
  • BS in computer science or related engineering field
  • 5+ years of experience building and operating production grade software infrastructure, preferably in a hybrid onprem / cloud environment
  • Deep expertise with Kubernetes (cluster provisioning, Helm, operators, custom resources) and container runtimes (Docker, OCI)
  • Hands on experience with AWS services (EKS, SageMaker, S3, IAM, CloudWatch, Step Functions) and the ability to bridge onprem resources with AWS via VPN/Direct Connect
  • Strong software engineering skills in Python and at least one compiled language (Go, Rust, or Java) for building platform components and SDKs
  • Proficiency with CI/CD and GitOps tooling (Argo CD, Flux, Gitlab, GitHub Actions, or similar)
  • Solid understanding of distributed systems (consensus, fault tolerance, load balancing) and experience tuning high throughput, low latency inference pipelines
  • Experience with data engineering frameworks (Airflow, Prefect, Kafka, Spark, Flink) and building robust, versioned data pipelines
  • Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry, ELK) and the ability to define meaningful SLIs/SLOs for AI services
  • Track record of collaborating with research or product teams to move prototypes to production, translating experimental code into maintainable services
  • Strong problem solving mindset, excellent written and verbal communication, and a passion for building scalable AI platforms

Preferred Qualifications:
  • Working knowledge of Scrum and Agile software development methodology

Location: Remote
This is a remote position that will primarily be supporting our Aurora, CO and King of Prussia, PA locations. Due to contract requirements, the job has to be performed from a remote location in the United States.
What We Offer:
  • Comprehensive medical/vision/dental insurance packages
  • Company contributions to qualified HSA accounts
  • 401k retirement plan with industry leading company contributions
  • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
  • 13 paid holidays
  • Upfront tuition assistance for approved degree programs
  • Annual bonus program based on company and employee performance
  • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
  • 4 weeks paid Parental Leave
  • Employee assistance program (EAP)

EHS/Environmental Requirements:
This job operates alongside a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.
ITC & Security Clearance Requirements:
This position requires the incumbent to access export-controlled information. If you are not a U.S. Person, any offer is contingent upon the Company's ability to obtain a special license granting you access. This could take several months. You will not be able to begin employment until such license is obtained.
Visa Restrictions:
No visa sponsorship is available for this position.
Pre-employment Screenings:
Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.