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Senior Data Analytics Engineer Jobs in Colorado (NOW HIRING)

Senior Data Engineer

Denver, CO · Hybrid

$140K - $180K/yr

Why this Role Matters We'relooking for a Senior Data Engineer to help design, build, andoperatea ... You'llwork closely with analytics, engineering, and business stakeholders while owning data ...

Senior Analytics Engineer

Denver, CO · On-site +1

$135K - $180K/yr

About the Role Orchard is looking for a Senior Analytics Engineer to help rebuild how the business gets answers from its data. We're moving from a sprawling Looker footprint to a set of certified ...

Senior Data Engineer

Denver, CO · On-site

$145K - $160K/yr

This data platform is central to ensuring that our software development and data analytics teams have governed access to the data they need. As a Senior Data Engineer on the Platform Team, you will ...

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Senior Data Engineer

Denver, CO · On-site

$140K - $180K/yr

Why this Role Matters We're looking for a Senior Data Engineer to help design, build, and operate a ... You'll work closely with analytics, engineering, and business stakeholders while owning data ...

Senior Data Engineer, Global

Denver, CO · On-site

$109K - $148K/yr

Vantage Data Centers is seeking a Senior Data Engineer to help evolve and scale our enterprise data ... Collaborate with business analysts, data scientists, and stakeholders across Human Resources ...

Senior Data Engineer

Denver, CO · On-site

$108K - $147K/yr

Overview Job Title: Senior Data Engineer Department: Digital Reporting To: Manager, Data ... You'll collaborate with other engineering teams, analytics, and product teams to design and drive ...

Senior Data Engineer

Denver, CO · On-site

$108K - $147K/yr

Overview Job Title: Senior Data Engineer Department: Digital Reporting To: Manager, Data ... You'll collaborate with other engineering teams, analytics, and product teams to design and drive ...

Senior Data Engineer

Denver, CO

$108K - $147K/yr

Job Title: Senior Data Engineer Department: Digital Reporting To: Manager, Data Engineering ... You'll collaborate with other engineering teams, analytics, and product teams to design and drive ...

Sr Developer

Denver, CO · On-site

$100/hr

The Senior Data Engineer will work to design and develop data platform solutions to support reporting and analytics. * The Senior Data Engineer will develop and maintain ETL processes. * The Senior ...

Senior Data Analyst

Denver, CO

$89K - $113K/yr

This roleis responsible forthe full analytics lifecycle, including exploring raw datasets ... Partner with Data Engineering teams to define and improve data pipelinesand analytical workflows ...

Senior Data Analyst

Denver, CO

$89K - $113K/yr

This roleis responsible forthe full analytics lifecycle, including exploring raw datasets ... Partner with Data Engineering teams to define and improve data pipelinesand analytical workflows ...

Senior Data Analyst

Denver, CO · On-site

$89K - $113K/yr

...   The Senior Data Analyst partners with internal teams to deliver data-driven insights and ... Partner with Data Engineering teams to define and improve data pipelines and analytical ...

Senior Data Analyst

Denver, CO

$89K - $113K/yr

This roleis responsible forthe full analytics lifecycle, including exploring raw datasets ... Partner with Data Engineering teams to define and improve data pipelinesand analytical workflows ...

Sr Data Analyst

Denver, CO · On-site

$70 - $80/hr

Sr Data Analyst - Contract - Greenwood Village, CO - $70.00 - $80.00/hr. The final salary or hourly ... Analytics Knowledge: Beneficial if acquired through school or business experience. Data ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

As a Sr. Data Engineer on our data team, you will be building out the core data asset that ... analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring ...

Senior Data Engineer

Denver, CO · Remote

$147K - $158K/yr

Senior Data Engineer (Dish Wireless LLC, Littleton, Colorado) Multiple positions available. Design ... analysis, and service availability (10% of the time). Mentor junior engineers and new team members ...

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team. **This is a remote based ... serve operational, analytical, and AI use cases. Develop data pipelines using medallion ...

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Showing results 1-20

Senior Data Analytics Engineer information

See Colorado salary details

$85.2K

$132.8K

$184K

How much do senior data analytics engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for senior data analytics engineer in Colorado is $132,836.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $151,400.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a Senior Data Analytics Engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a Senior Data Analytics Engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are the most commonly searched types of Data Analytics Engineer jobs in Colorado? The most popular types of Data Analytics Engineer jobs in Colorado are:
What are popular job titles related to Senior Data Analytics Engineer jobs in Colorado? For Senior Data Analytics Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Colorado look for? The top searched job categories for Senior Data Analytics Engineer jobs in Colorado are:
What cities in Colorado are hiring for Senior Data Analytics Engineer jobs? Cities in Colorado with the most Senior Data Analytics Engineer job openings:
Infographic showing various Senior Data Analytics Engineer job openings in Colorado as of June 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $132,836 per year, or $63.9 per hour.
Senior Data Platform Engineer with Security Clearance

Senior Data Platform Engineer with Security Clearance

Karthik Consulting, LLC

Colorado Springs, CO • On-site

$101K - $139K/yr

Other

Posted 11 days ago


Job description

For more than a decade, Karthik Consulting has been a reliable and trusted advisor to our Government customers, providing independent and unbiased recommendations and solutions to mitigate risk and help solve IT issues. We bring the innovation, passion, and agility of the commercial sector to meet the unique challenges of this competitive space. Karthik Consulting is seeking Senior Data Platform Engineer with the below skillset. Senior Data Platform Engineer
Fulltime with Karthik Consulting
Location: National Capital Region, Colorado Springs or Denver surrounding areas
Clearance: Active TOP SECRET / SCI (Polygraph may be required) Program Description POSITION SUMMARY The Senior Data Platform Engineer serves as the foundational systems engineering and modernization engine for the cloud-hosting and data-sharing infrastructure across the Air Force Intelligence Community (AF IC) Information Environment. Operating directly at the Headquarters Air Force (HAF) staff level, this role evaluates technical feasibility, designs secure target-state data architectures, and aligns commercial classified cloud platforms with evolving mission capabilities. The position is responsible for orchestrating robust DevSecOps automation frameworks and MLOps pipeline considerations to securely integrate multi-cloud hosting solutions. By interconnecting elastic virtualized compute, storage, and software-defined network environments, this role provides the resilient digital backbone necessary to test, deploy, and scale advanced data analytics tools globally at the speed of relevance. PROGRAM CONTEXT PROGRAM DESCRIPTION This role supports the Air Force Intelligence, Surveillance, and Reconnaissance (ISR) Digital Infrastructure Transformation. The mission focuses on modernizing, designing, and sustaining an integrated digital environment that transitions from historical hardware-based industrial constraints to software-defined digital processes. This modern enterprise architecture interconnects physical and virtual technologies across Data and Analytics, Sense-Making, Automation, Augmentation, and Artificial Intelligence (AAA), Hybrid/Multi-Cloud environments, Networks, and Zero Trust security frameworks to safely deliver intelligence to warfighters at the speed of relevance. PROGRAM SCOPE
The role operates within the operational oversight of the AF IC Chief Information Officer (CIO), Chief Data Officer (CDO), IT Risk Management Framework Authorizing Official (AO), and Chief Technology Officer (CTO). The work spans the entire spectrum of Air Force ISR Information Environment operations, encompassing infrastructure layer integration, multi-cloud optimization, platform-level security configuration, and automated data sharing across secure NIPR, SIPR, and JWICS networks.
KEY RESPONSIBILITIES Data Sharing Platform & Infrastructure Design
• Lead the evaluation of current AF IC Information Environment infrastructure capabilities against operational requirements to identify modernization and cost-efficiency opportunities.
• Design conceptual and logical target-state architectures for high-capacity data integration, secure multi-domain data sharing, and full-lifecycle data management.
• Provide specialized engineering support to bring together, configure, and interconnect physical and virtual technologies across the data, application, compute, and storage layers.
• Conduct exhaustive technical feasibility analyses on emerging software-defined capabilities and modern commercial tools to determine operational risk profiles.
• Create model-based systems engineering graphical models, technical implementation recommendations, and formal platform architecture reports for HAF C-suite deliberation. Cloud Alignment & Multi-Cloud Strategy
• Lead the development of best-in-class cloud strategies to build innovative, multi-cloud environments that maintain sustainable growth.
• Align platform engineering activities with the Intelligence Community, Federal Cloud Smart Strategy, and modern commercial best practices.
• Evaluate historical Air Force ISR cloud transition plans and propose technical modifications to ensure streamlined, transparent, and responsive infrastructure modernizations.
• Coordinate standard platform engineering metrics across NIPR, SIPR, and JWICS cloud services to safeguard the performance and availability of elastic solutions-as-a-service.
• Govern the delivery of underlying foundational capabilities through the implementation of agile Software, Platform, and Infrastructure as a Service (SaaS, PaaS, and IaaS) frameworks. DevSecOps & Automated Pipeline Integration
• Design and implement a collaborative infrastructure hosting model based on unified IC, DoD, and commercial DevSecOps best practices.
• Build and manage continuous integration and continuous delivery (CI/CD) automated pipelines to optimize the end-to-end IT service-delivery pipeline.
• Ensure strict data platform compliance by embedding automated security components, policy validation checks, and compliance filters into all stages of the System Development Lifecycle (SDLC).
• Collaborate closely with MAJCOM cybersecurity teams and the Risk Executive Function to streamline platform authorizations and preempt field operational impacts.
• Develop, distribute, and maintain standard operating procedures and technical implementation instructions concerning secure cloud platform environments. MLOps Coordination & Advanced Mesh Networking
• Define and coordinate underlying infrastructure and platform-level considerations required to host scalable AI, Machine Learning (ML), neural networks, and Robotic Process Automation (RPA) workflows.
• Partner with data engineers and operational stakeholders to deploy scalable MLOps infrastructure frameworks that facilitate fast model training, preparation, and secure validation.
• Integrate emerging Software-Defined Networking (SDN) concepts and Zero-Trust Architecture principles further into theater to build a resilient, high-speed mesh network.
• Optimize network routing protocols to securely sustain data platform availability during Denied, Degraded, Intermittent, or Limited (DDIL) operations at the tactical edge.
• Deliver expert technical knowledge for official program reviews concerning platform performance, cloud security baselines, and cross-domain network transport configuration.
QUALIFICATIONS EDUCATION • Required: Bachelor's Degree in a STEM-related or analytical field.
• Preferred: Master's Degree in a STEM-related or management field. PROFESSIONAL CERTIFICATIONS • Required: CompTIA Security+ CE (or equivalent DoD 8570.01-M / DoD 8140 IAT Level II baseline certification).
• Preferred: AWS Certified Solutions Architect (Professional), Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, or Certified DevSecOps Professional (CDP). MINIMUM QUALIFICATIONS • Experience: 6–12+ years of professional cloud infrastructure engineering, platform architecture, DevSecOps pipeline design, or systems engineering experience within the DoD or Intelligence Community.
• Clearance: Final, verified TOP SECRET / SCI clearance day-one.
• Infrastructure Mastery: Comprehensive knowledge of cloud computing deployment models across private, public, and hybrid environments, alongside the structural differences between on-premises and off-premises resources.
• Networking Protocol Depth: Advanced knowledge of computer networking concepts, communication protocols, network security methodologies, and identity/access management frameworks (e.g., PKI).
• Headquarters Staff Support: Experience compiling technical summaries, briefings, and platform engineering options for HAF, MAJCOM, OSD, Joint Staff, or CCMD corporate staffs. PREFERRED QUALIFICATIONS • Practical experience coordinating infrastructure support for advanced analytics, big data applications, and MLOps environments.
• Deep understanding of IC and DoD IT risk management processes, including the implementation of the Risk Management Framework (RMF) inside secure cloud boundaries.
• Familiarity with the AF ISR enterprise, including standard data transport architectures over the Joint Worldwide Intelligence Communications System (JWICS).
• Demonstrated ability to perform technical needs analysis to determine structural opportunities for software-defined networking and zero-trust integrations. CORE COMPETENCIES ACCOUNTABILITY & OWNERSHIP
Takes unyielding personal and professional responsibility for the security, stability, and scale of cloud hosting environments, managing automated pipelines with exceptional judgment. COMMUNICATION & COLLABORATION
Translates dense, multi-cloud, infrastructure, and DevSecOps constraints into straightforward, layman-accessible presentations; collaborates seamlessly across C-suite technical boundaries. ANALYTICAL THINKING
Evaluates complex network latencies, cloud migration bottlenecks, and architectural dependencies to craft highly structured, evidence-based platform solutions. QUALITY & COMPLIANCE
Enforces immaculate documentation and configuration control across deployment scripts; guarantees that all platform implementations comply strictly with DoD, IC, and national security directives. ADAPTABILITY & INITIATIVE
Proactively isolates, diagnoses, and corrects platform layer performance variances, aggressively adopting modern software-defined enhancements to stay ahead of mission constraints. CUSTOMER & MISSION FOCUS
Directly links daily infrastructure maintenance, pipeline automation, and technical feasibility analyses to the warfighting reality of out-pacing adversaries through decision advantage.