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Data Operations Jobs in Colorado (NOW HIRING)

Sovrn

Director, Data Collective

Boulder, CO · On-site

Own the operational posture of the data platform: SLOs, on-call health, incident response, and continuous improvement * Own the infrastructure cost footprint of the Data Collective across AWS and ...

Evio

Software/DevOps Engineer

Denver, CO

$54.25 - $74.25/hr

Build and enhance data ingestion components, including integrations, transformations, and ... Product data operations (~20%) * Own and execute recurring product data ingestion cycles. * Monitor ...

Redwood Trust Inc

Senior Data Engineer

Englewood, CO · On-site

$135K - $165K/yr

Data Governance, Quality & Operational Excellence * Ensure data quality, lineage, reconciliation, and governance across enterprise data assets and critical business processes. * Collaborate closely ...

eFulgent

Lead Data Engineer

Englewood, CO · On-site

$101K - $133K/yr

... operational efficiency. - Leverage AWS for building and deploying scalable data engineering solutions. - Implement monitoring, alerting, and continuous integration/delivery pipelines for reliable ...

Ball

Senior Manager, Data Management

Westminster, CO · On-site

Master Data Operations: * Oversee master and reference data workflows across SAP S/4HANA and JD Edwards - governing the creation, change, and maintenance processes for Customer, Product, Supplier ...

Tasman Inc

Data Quality & Systems Analyst

Wheat Ridge, CO · Remote

$88K - $95K/yr

This role works closely with data architects, system owners, and operational teams to improve data quality processes, support reporting needs, and ensure business-critical information remains ...

New

Carina Health Network

Clinical Data Engineer

Denver, CO · On-site

$85K - $100K/yr

What You'll Do The Data Operations department provides data management, integration, and reporting services for multiple external and internal consumers. The Clinical Data Engineer will be ...

EchoStar

Business Data Analyst II

Englewood, CO · On-site

$63K - $90K/yr

The role resolves complex operational challenges by analyzing forecasts and planning the forward ... Deep technical expertise in data manipulation tools, specifically SQL, Python, R, and Tableau * AI ...

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All JobsData Operations JobsData Operations Jobs in Colorado

Data Operations information

See Colorado salary details

$54.7K

$135.1K

$210.3K

How much do data operations jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data operations in Colorado is $135,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $171,900.00 per year, depending on experience, location, and employer.

Is data operations a good job?

Data operations is a growing field that involves managing, processing, and maintaining data systems to support business functions. It often requires skills in database management, data quality, and tools like SQL or data pipelines, and can offer stable employment with opportunities for advancement. The role is suitable for individuals interested in technology, data analysis, and operational efficiency.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this field often work with data management tools, databases, and automation processes to support data-driven decision-making.

What is the highest paying data job?

The highest paying data job is typically a Data Engineering Manager or Chief Data Officer, with salaries often exceeding $150,000 annually depending on experience and location. These roles require advanced skills in data architecture, leadership, and often certifications in cloud platforms or data management tools.

Is 30 too late for data science?

Data operations roles often value skills and experience over age, and many professionals transition into data science at various ages, including in their 30s. Building relevant skills such as programming, statistics, and tools like SQL or Python can facilitate entry, regardless of age. Continuous learning and practical experience are key factors for success in data science careers.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What are the most commonly searched types of Data Operations jobs in Colorado? The most popular types of Data Operations jobs in Colorado are:
What are popular job titles related to Data Operations jobs in Colorado? For Data Operations jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Operations jobs in Colorado look for? The top searched job categories for Data Operations jobs in Colorado are:
What cities in Colorado are hiring for Data Operations jobs? Cities in Colorado with the most Data Operations job openings:
Data Operations jobs near you
Infographic showing various Data Operations job openings in Colorado as of July 2026, with employment types broken down into 85% Full Time, 5% Part Time, 5% Temporary, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $135,147 per year, or $65 per hour.
Director, Data Collective

Director, Data Collective

Sovrn

Boulder, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

About Sovrn
Every interesting company solves important problems for other people. Sovrn is a Software and Data business that helps Open Web businesses be and remain independent. We help them understand their business better, operate more efficiently, and make & keep more money.
  • We believe in the freedom and free-flow of information.
  • We believe the Open Web is the largest source of this information.
  • We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:
  • Understand their business better, so they can make better decisions
  • Operate their business more efficiently, so they can invest in what matters most
  • Make (and Keep) more money, so they control their own destiny
About the Role
We're looking for a Director, Data Collective to lead the team that owns Sovrn's data platform end-to-end: the pipelines, lakehouse, data services, and cloud infrastructure that power our exchange, our products, and our customers' decisions. This is a hands-on engineering leadership role. You'll own team composition and hiring; lead architecture and design across the platform; and remain close enough to the code, the systems, and the tradeoffs to make real technical decisions, not just approve them.
You'll be working with a strong senior team, a modern stack, and an organization that already uses LLMs and agentic tooling across the data stack. We're looking for a leader who can take what's working from "in use" to "intentional practice." Someone with strong opinions about what high-leverage AI-native data engineering looks like at exchange scale, and the credibility to bring the rest of the org along.
Languages / components / tools in our stack: Python, Redpanda/Kafka, Databricks/Spark, AWS/S3, Terraform, Datadog, GitHub
What you'll be doing:
Team Leadership & Composition
  • Own the skill mix of the Data Collective team; lead hiring and performance management for engineers ranging from mid-level to Principal
  • Set the technical and cultural standards for the team: what "great" looks like in design, code review, on-call, and cross-team partnership
  • Mentor and grow engineers across levels through hands-on design collaboration, technical coaching, and clear career frameworks
  • Partner with the broader engineering leadership team on org-wide planning, budgeting, and roadmap tradeoffs; represent the team's work and constraints to executives

Data Platform Architecture & Engineering
  • Drive architectural decisions across pipeline design, data modeling, lakehouse architecture, and data services layers
  • Heavily contribute to the design and architecture of Sovrn's data pipelines, lakehouse, and data services: high-throughput streaming, always-on batch, petabyte-scale storage and query
  • Lead design reviews and set technical standards across the team; raise the bar on engineering rigor, observability, and operational excellence
  • Stay close enough to the systems to make real tradeoffs on performance, cost, governance, and reliability, and to know when the team's estimates and risk assessments are right

AI & Modern Data Engineering Practice
  • Set the team's direction on AI-native data engineering: where LLMs, RAG, agentic workflows, and AI-assisted tooling create real leverage in a high-throughput adtech environment, and where they don't
  • Establish standards for how the team evaluates, trusts, and operates AI-powered systems in production: observability, fallback behavior, model governance, and cost control
  • Identify high-leverage AI applications in the data stack: intelligent pipeline optimization, anomaly detection, automated data quality, forecasting, and LLM-powered data services

Operational Excellence & Cost Management
  • Own the operational posture of the data platform: SLOs, on-call health, incident response, and continuous improvement
  • Own the infrastructure cost footprint of the Data Collective across AWS and Databricks; drive structural cost improvements through architecture, and disciplined commitment management
  • Drive Infrastructure as Code (IaC) adoption, policy-as-code, governance frameworks (RBAC/ABAC, IAM, SCIM), and CI/CD for infrastructure across the team
  • Make sure the team is investing in the right balance of new capability, platform health, and tech debt

Cross-functional Collaboration
  • Provide domain expertise across the organization to enable business growth through data services and data models
  • Partner with Product, Data Science, AI/ML, Platform, and Security teams to ship end-to-end and to make Sovrn's data assets easier and safer to use
  • Serve as a senior point of counsel to all consumers and stakeholders of Sovrn's data: internal teams, leadership, and external customers of our Data-as-a-Service products
  • Communicate clearly at multiple levels: from architecture documents and design reviews to executive updates on cost, capacity, and risk
A successful candidate will have:
  • 10+ years of software / data engineering experience, with a strong hands-on track record in data platforms, distributed systems, or backend infrastructure
  • 4+ years leading and growing engineering teams, including hiring, leveling, and performance management of senior and principal-level engineers
  • Deep, current technical proficiency. You still read code, write design docs, and lead architecture, not just review work
  • Hands-on experience in big data and distributed data processing in the AWS ecosystem (Python, Spark, Kafka/Redpanda, Databricks or similar lakehouse platforms)
  • Experience operating data systems at scale: real-time streaming, batch pipelines, data lakes, metadata management, lineage, and governance
  • Working knowledge of cloud platform engineering practices: IaC (Terraform), CI/CD, observability, IAM, and cost management
  • Track record of leading or substantially contributing to AI / agentic engineering efforts in production, not just experimentation, but shipped, operated, and iterated on
  • Hands-on experience operating production vector databases at scale, including the pipelines and infrastructure to refresh hundreds of millions of vectors on a daily cadence
  • Familiarity with adtech data infrastructure (SSP, DSP, exchange, or ad server environments) and the programmatic ecosystem (OpenRTB, bid request/response flows, auction mechanics, supply path optimization) is a strong plus
  • Experience with data security and compliance (PII, CCPA, GDPR)
  • Ability to clearly communicate architectural concepts and team strategy at multiple levels, from engineers to executives to the board
  • Comfort driving technical and organizational decisions in ambiguous, fast-moving environments

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms, many skills are transferable, and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we're looking for.
Location: Sovrn offices are located in Boulder, CO and New York, NY. We believe collaboration and shared purpose lead to deeper relationships, more creative problem-solving, and more learning, faster. For employees located near one of our offices, working in-person is our default. We trust people to use personal agency when focused work or life circumstances call for flexibility.. #LI-Hybrid
Application Deadline: Priority deadline July 1, 2026. Applications will be accepted on a rolling basis thereafter until the position is filled.
Compensation and Benefits: The base salary for this position is $225,000 to $250,000 annually. Actual base salary will depend on the candidate's education, experience, skills, and location. In addition to salary, the total compensation package includes bonus and equity. Sovrn offers a full slate of benefits from medical, dental, and vision coverage, short and long-term disability, life insurance, paid parental leave, 401(k) plan and match, 11 paid holidays, flexible vacation, and commuter benefits.
How to Apply: Submit your application through https://www.sovrn.com/careers/. If you require a reasonable accommodation to participate in any part of the application or interview process, please contact peopleops@sovrn.com.
Equal Opportunity Employer: Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. Reasonable accommodations will be made to meet the requirements of the Americans with Disabilities Act.
Recruitment Agencies: Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

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