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Remote Startup Data Engineer Jobs in Colorado (NOW HIRING)

Kiewit Corporation

Principal Water Engineer

Arvada, CO · On-site +1

From early process modeling to startup and commissioning, you'll influence every stage of delivery ... We will consider remote options in other locations for uniquely qualified Water Experts. We do ...

ABB

Data Center COE Project Manager

Denver, CO · Remote

$123K/yr

... execution of Startup, Commissioning, and aftermarket service projects within the Data Center ... Remote in the US #LI-Remote This role is contributing to the Electrification Services Business Area ...

Nametag

Senior Software Engineer, Reliability

Denver, CO · Remote

$120K - $190K/yr

Senior Software Engineer, Reliability Remote, US About Nametag Nametag is building the future of ... Data & ML Infrastructure * Design and operate data pipelines that support our ML-powered ...

Woolpert

Remote Sensing Technician

Denver, CO · On-site +1

Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services ... This position is responsiblefor sensor operation, data processing, and reporting for airborne ...

SAIC

Cloud Native Solutions Engineer

Colorado Springs, CO · Remote

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Senior Full Stack Cloud ... Create event-driven applications and integrate with data pipelines, analytics, and ingestion ...

Releady

Principal Full Stack Engineer

Denver, CO · Remote

$85 - $100/hr

The environment is startup-minded with CI/CD and full end-to-end ownership. Developers own setup ... Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ...

Axon

Senior Sales Engineer, Enterprise Air

Denver, CO · Remote

$107K - $147K/yr

As a results-driven Senior Sales Engineer here, you'll enjoy a fast-paced, evangelistic startup ... Remote- travel up to 50% of time Reports to : Sr. Director, Sales Engineering Profile of Success ...

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All JobsStartup Data Engineer JobsRemote Startup Data Engineer JobsRemote Startup Data Engineer Jobs in Colorado

Remote Startup Data Engineer information

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

AspectRemote Startup Data EngineerRemote Startup Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilding data pipelines, infrastructureInterpreting data, creating reports
Employer & Industry UsageTech startups, SaaS companiesMarketing agencies, e-commerce startups
Common Search & ComparisonOften compared for technical depth and infrastructure focusCompared for data interpretation and business insights

The main difference between a Remote Startup Data Engineer and a Remote Startup Data Analyst lies in their focus areas. Data Engineers build and maintain data infrastructure, while Data Analysts interpret data to inform business decisions. Both roles are essential in startups but require different skill sets and responsibilities.

What are the most commonly searched types of Startup Data Engineer jobs in Colorado? The most popular types of Startup Data Engineer jobs in Colorado are:
What are popular job titles related to Remote Startup Data Engineer jobs in Colorado? For Remote Startup Data Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Startup Data Engineer jobs in Colorado look for? The top searched job categories for Remote Startup Data Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Startup Data Engineer jobs? Cities in Colorado with the most Remote Startup Data Engineer job openings:
Remote Startup Data Engineer jobs near you
Infographic showing various Remote Startup Data Engineer job openings in Colorado as of June 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior MLOps Platform Engineer {S}

ARKA Group

Colorado Springs, CO • 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.

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