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Remote Startup Data Engineer Jobs in Colorado (NOW HIRING)

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 ...

Data Center COE Project Manager

Denver, CO ยท 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 ...

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

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 ...

Principal Full Stack Engineer

Denver, CO ยท 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 ...

Showing results 41-60

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 cities in Colorado are hiring for Remote Startup Data Engineer jobs? Cities in Colorado with the most Remote Startup Data Engineer job openings:
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}

Careers - Stratagem - Make a Lasting Impact

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

$90K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

ARKA Group L.P. (โ€œARKAโ€) 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 ofย Agentic AIย 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, andย highly availableย MLOpsย foundation across bothย on premiseย clusters and AWS. The team works closely with data scientists, product engineers, and SREs to turn experimental models into reliable services that powerย mission criticalย applications.ย 

In support of work/life balance, many positions are available for a flexible schedule within the pay period.ย  Ask us about the opportunity for flex scheduling if thatโ€™s of interest to you.ย 

Why join usย 

  • Shape theย end-to-endย lifecycle ofย cutting-edgeย AI servicesโ€”from model training to production inference.ย 
  • Influence architecture decisions for a hybrid cloud environment that will serve thousands of concurrent agents.ย 
  • Collaborate with world-class researchers and product teams while enjoying a strong engineering culture focused on automation, observability, and reliability.ย 

      Responsibilities:ย 

      • Design, implement, andย operateย a unifiedย MLOpsย platformย that supports bothย on-premiseย Kubernetes clusters and AWS. The platform should enable rapid onboarding of newย Agentic AIย services and provide consistent governance across environments.ย 
      • Develop reusable CI/CD pipelinesย (GitLab CI) for model packaging, containerization, automated testing, canary releases, and rollbacks.ย 
      • Build observability, monitoring, and alerting stacksย (Prometheus, Grafana,ย OpenTelemetry, CloudWatch) to track inference latency, throughput, resourceย utilization, andย data driftย forย real timeย and batch workloads.ย 
      • Createย self-serviceย toolingย (CLI, SDKs, UI dashboards) that allowsย data scienceย and product teams to register models, define inference endpoints, and manage versioning without deep DevOps involvement.ย 
      • Architect andย maintainย data pipelinesย that feed training data, model artifacts, and inference logs into a governed data lake (S3,ย on premย object store).ย 
      • Collaborate with research and product engineersย to translate experimentalย Agentic AIย prototypes intoย production gradeย services, ensuring reproducibility, security, and compliance.ย 
      • Drive performance optimizationย for inference workloads (GPU/CPU scaling, model quantization, batching strategies)ย 
      • Champion best practicesย in security (IAM, network policies, secret management),ย cost efficiency, andย disaster recoveryย for the hybrid infrastructure.ย 
      • Mentor junior engineersย and contribute to internal knowledge bases,ย upskilling, and reviewย processes.ย 

      Required Qualifications:

      • BS in computer science or related engineering field
      • 5+years of experienceย building and operating production gradeย softwareย infrastructure, preferably inย a hybrid onpremย / cloud environment
      • Deep expertise with Kubernetesย (cluster provisioning, Helm, operators, custom resources) and container runtimes (Docker, OCI)
      • Hands on experience with AWS servicesย (EKS, SageMaker, S3, IAM, CloudWatch, Step Functions) and the ability to bridge onprem resources with AWS via VPN/Direct Connect
      • Strong software engineering skillsย in Python and at least one compiled language (Go,ย Rust, or Java) for building platform components and SDKs
      • Proficiency with CI/CD andย GitOpsย toolingย (Argo CD, Flux,ย Gitlab, GitHub Actions,ย or similar)
      • Solidย understanding of distributed systems (consensus, fault tolerance, load balancing) and experience tuning high throughput, low latency inference pipelines
      • Experience with data engineering frameworksย (Airflow, Prefect, Kafka, Spark, Flink) and building robust, versioned data pipelines
      • Familiarity with observability stacksย (Prometheus, Grafana,ย OpenTelemetry,ย ELK) andย the ability to define meaningful SLIs/SLOs for AI services
      • Track record of collaborating with research or product teamsย to move prototypes to production, translating experimental code into maintainable services
      • Strongย problem solvingย 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.ย  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.