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Manager Data Analytics Engineer Jobs in Boulder, CO

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Data Analytics Engineer - Boulder, Colorado

Boulder, CO · On-site +1

$100K - $120K/yr

Data Analytics Engineer - Boulder, Colorado Full-time | Boulder, CO | No visa sponsorship available ... Strong communicator who can own stakeholder conversations, gather requirements, manage expectations ...

CoorsTek

Manager Data Platform Engineering

Golden, CO · On-site

You will work cross-functionally with business stakeholders, data engineering, analytics teams, and ... Manage platform reliability, availability, and performance monitoring. * Establish and manage SLAs ...

Pwc

Data Engineer - Manager

Denver, CO · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Angi

Principal Analytics Engineer

Denver, CO · Remote

$165K - $240K/yr

Collaborate with data and analytics engineering peers to establish and maintain global patterns, package management, and repository best practices. * Mentorship & Review: Raise the collective ...

Ibotta, Inc

Manager, Data Science

Denver, CO · On-site

$158K - $185K/yr

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build ... Bachelor's degree in computer science, data analytics, computer engineering, information systems ...

Munich Re

Technical Architect - Data, Analytics & AI

Aurora, CO · Hybrid

$64.75 - $83.25/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Boulder, CO

Manager Data Analytics Engineer information

See Boulder, CO salary details

$46.2K

$134.5K

$184.1K

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

As of Aug 11, 2026, the average yearly pay for manager data analytics engineer in Boulder, CO is $134,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,700.00 and $142,600.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are popular job titles related to Manager Data Analytics Engineer jobs in Boulder, CO? For Manager Data Analytics Engineer jobs in Boulder, CO, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Boulder, CO look for? The top searched job categories for Manager Data Analytics Engineer jobs in Boulder, CO are:
What cities near Boulder, CO are hiring for Manager Data Analytics Engineer jobs? Cities near Boulder, CO with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Boulder, CO as of August 2026, with employment types broken down into 4% Internship, and 96% Full Time. Highlights an 61% In-person, 8% Hybrid, and 31% Remote job distribution, with an average salary of $134,529 per year, or $64.7 per hour.

JEI - Corporate Data Analytics Engineer

Jacobs Entertainment Inc

Lakewood, CO

$114K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

A Legacy of Excellence

Entertaining Your World

Jacobs Entertainment, Inc. (JEI) is a developer, owner and operator of gaming and entertainment facilities across the United States. Core to the company's value is our commitment to ethical leadership, outstanding training, and open employee communication.

Jacobs Entertainment is currently in search of a "Corporate Data Analytics Engineer" for our corporate office in Lakewood. If you are seeking an opportunity where your contributions and skills will be both valued and your ability to influence change will be immediate, we would love to speak with you.

Our employees are supported with a comprehensive benefits program that include the following:

  • $200 Referral Bonus
  • Tuition Reimbursement
  • Ongoing learning and development programs
  • Work towards your future advancement within the company-most of our supervisors and managers are promoted from within
  • 7 paid Holidays
  • 80 hours of Vacation after 1 year of employment
  • 48 Hours of Paid Sick Leave available immediately and renews annually
  • We offer a variety of affordable medical, dental, vision and flexible spending account plans after 60 days
  • Employee Assistance Program FREE of charge
  • Company paid Life Insurance and AD&D
  • Matching 401K program after 90 days

Essential Job Responsibilities and Duties:

  • Design, build, and maintain robust star-schema data models and SQL views within the Enterprise Data Warehouse (EDW) to support regional operations
  • Build and optimize semantic layers, metadata packages, definitions, and security access models to ensure consistent metrics across the organization
  • Consolidate data structures across disparate regional properties to create a unified view of property performance, guest behavior, and revenue tracking
  • Author clean, well-documented, and performant SQL queries to streamline data pipeline processing and minimize warehouse query runtimes
  • Proactively monitor data pipelines and ETL (Extract, Transform, Load) processes, troubleshooting and resolving integration failures, data quality issues, or pipeline bottlenecks to ensure the timely and accurate delivery of data
  • Feature-engineer dataset tables and prepare structured data views to feed predictive artificial intelligence and machine learning models
  • Partner with the analytics team on effective use of AI across the department, including forecasting (covers, occupancy, gaming volume, labor demand), predictive modeling (customer lifetime value, churn, reinvestment), and other applied use cases; evaluate tools, advise on appropriate techniques, and help translate business questions into well-scoped AI/ML problems
  • Integrate, map, and model guest journey data from the marketing CRM, including omni-channel campaigns, segmentation performance, email open/click behaviors, and promotional attribution
  • Model and interpret core gaming metrics, including Slot/Table Drop, Win/Hold percentages, Theoretical Win (Theo), and coin-in data, in partnership with operations and finance leadership
  • Build and maintain a working understanding of Property Management Systems (PMS) data, including ADR (Average Daily Rate), RevPAR (Revenue Per Available Room), occupancy tracking, and multi-property booking behaviors
  • Map data from Player Tracking Systems, managing rewards, tier progressions, reinvestment rates, and marketing offer redemptions
  • Model food and beverage transaction data from InfoGenesis POS, including check-level detail, menu mix, voids, and comps, to support outlet performance and F&B analytics
  • Integrate workforce and payroll data from UKG Labor / Kronos, applying Slowly Changing Dimension techniques so labor history (roles, pay rates, property assignments) is preserved for accurate hourly labor efficiency and historical reporting

Skills, Education and Other Requirements:

  • 3-5 years of experience in data modeling, analytics engineering, or business intelligence engineering
  • Advanced SQL mastery, with expert-level ability to write complex analytical queries, stored procedures, database indexes, and performance-tuning optimizations
  • Strong foundational knowledge of relational databases, dimensional modeling, and Enterprise Data Warehouse infrastructure
  • Familiarity or hands-on experience using erwin Data Modeler to view, interpret, or contribute to enterprise-level logical and physical data diagrams
  • Practical experience building enterprise semantic layers, data packages, or structured metadata layouts for enterprise reporting platforms (e.g., IBM Cognos, Looker, or Power BI)
  • Bachelor's Degree in a Quantitative, Computer Science, Information Systems, or related field, or equivalent work experience
  • Ability to work effectively from a designated regional location, with a strong geographic preference for Reno, NV or Denver, CO
  • Strong analytical skill and aptitude for working with data and logical thinking
  • Attention to detail
  • Ability to manage multiple projects at the same time
  • Ability to write detailed reports and correspondence
  • Must possess ability to read and interpret documents such as internal controls and procedure manual
  • Ability to obtain a Colorado Gaming License
  • Identification that establishes identity
  • Identification that establishes the right to work in the United States

Machinery, Work Equipment, Programs, Software, Hardware Used

  • Computer
  • Agilysys InfoGenesis POS
  • erwin Data Modeler
  • Hotel PMS: Oracle Opera, Infor HMS
  • BI: IBM Cognos Analytics (Framework Manager, Data Modules)
  • SQL / Enterprise Data Warehouse (EDW)
  • UKG Labor / Kronos
  • MS Office
  • IGT Advantage Gaming System preferred (Aristocrat Oasis or Light & Wonder also accepted)
  • dbt (Data Build Tool) preferred

Apply