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Data Engineer Manager Jobs in Colorado (NOW HIRING)

... CRM, and external systems · Build and manage data pipelines (ETL/ELT) to ensure timely and ... for data engineering within the organization Performance Expectations: · Drive measurable ...

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

Lead, mentor, and manage a team of data engineers specializing in streaming technologies. * Data Pipeline Development: Design and implement high-throughput, low-latency streaming data pipelines using ...

Databricks Data Engineer

Denver, CO · On-site

$117K - $141K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

AWS Data Engineer

Greenwood Village, CO · On-site +1

$115K - $139K/yr

AWS Data Engineer Location: Greenwood Village, CO Mode Of Work: 4 Days Onsite W2 Role Visa: GC, GC ... Thanks Jagdish |Manager - IT Staffing T (443)-489-4433 | Jagdish@polarits.com 6095 Marshalee Dr ...

Data Engineer

Englewood, CO · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... management objectives while providing ongoing support, monitoring, and maintenance of deployed ...

AWS Data Engineer

Greenwood Village, CO · On-site

$115K - $139K/yr

AWS Data Engineer Location: Greenwood Village, CO Mode Of Work: 4 Days Onsite W2 Role Visa: GC, GC ... Thanks Jagdish |Manager - IT Staffing T (443)-489-4433 | Jagdish@polarits.com 6095 Marshalee Dr ...

Data Engineer - Snowflake Specialist

Denver, CO · On-site

$117K - $141K/yr

Senior Operations & Data Engineer (Snowflake Specialist) / Cloud Engineer Location: Colorado ... Manage platform upgrades, security configurations, and vendor escalations * Configure Snowflake ...

Data Engineer II

Boulder, CO · Hybrid

$100K - $125K/yr

As a Data Engineer on the Bid-to-Bill Operations Engineers team, you will sit at the intersection ... Operations Engineer Manager * Travel requirements: Up to 5% Why This Role Matters: Our team sits at ...

Azure Data Engineer Databricks

Denver, CO · On-site

$117K - $141K/yr

Azure Data Engineer Role - Azure Data Engineer Databricks Experience Required - 6+ Years Must Have ... Knowledge of data security, and access management (RBAC). * Preferred / Nice to Have Skills:

You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools. This ...

You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools. This ...

Big Data Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

Big Data Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in managing big data tools * Strong understanding of distributed systems * Expertise in ...

GCP Data Engineer Location : Lone Tree, Co (remote until Covid is resolved) Duration : 12 Months ... Provide architecture to integrate metadata management, integrate with on-prem Data quality engine.

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

Lead Data Engineer

Denver, CO · On-site

$117K - $141K/yr

We are one of the country's largest owners and operators of multifamily housing, managing high ... We are seeking a highly skilled Lead Data Engineer to join our dynamic data team. The ideal ...

Lead Data Engineer

Denver, CO

$117K - $141K/yr

We are one of the country's largest owners and operators of multifamily housing, managing high ... We are seeking a highly skilled Lead Data Engineer to join our dynamic data team. The ideal ...

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Showing results 1-20

Data Engineer Manager information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do data engineer manager jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data engineer manager in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

What are some typical challenges a Data Engineer Manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What engineers make 200,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $200,000 or more annually, especially in high-demand industries or large organizations. These roles typically require advanced skills in data architecture, cloud platforms, and leadership, along with several years of experience.

What engineers make 300,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $300,000 or more annually, especially in high-cost-of-living areas or within large tech companies. These roles typically require advanced skills in cloud platforms, data architecture, and leadership, along with extensive industry experience and relevant certifications.

What does a data engineer manager do?

A data engineer manager oversees teams responsible for designing, building, and maintaining data pipelines and infrastructure. They coordinate data collection, storage, and processing efforts, often using tools like SQL, Hadoop, or Spark, and ensure data quality and security while aligning projects with organizational goals.

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

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a Data Engineer Manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, performance bonuses, and stock options in large organizations or tech companies.
What are the most commonly searched types of Data Engineer jobs in Colorado? The most popular types of Data Engineer jobs in Colorado are:
What are popular job titles related to Data Engineer Manager jobs in Colorado? For Data Engineer Manager jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Colorado look for? The top searched job categories for Data Engineer Manager jobs in Colorado are:
What cities in Colorado are hiring for Data Engineer Manager jobs? Cities in Colorado with the most Data Engineer Manager job openings:
Infographic showing various Data Engineer Manager job openings in Colorado as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.
Data Engineer

$90K - $107K/yr

Full-time

Posted 29 days ago


Hercules Industries rating

8.1

Company rating: 8.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

124th of 421 rated machine equipment manufacturers


Job description

SUMMARY: The Data Engineer at Hercules Industries is responsible for building, governing, and continuously improving the data foundation that powers decision-making across supply chain, operations, and commercial functions. This role serves as both a steward of data integrity and a builder of scalable data infrastructure, enabling accurate, connected, and actionable data across the organization. $90,000 - $107,000 per year, DOE

The Data Engineer directly supports advanced analytics, MRP optimization, and real-time decision-making, forming a critical component of Hercules’ transition to a modern, data-centric enterprise.

PURPOSE: Own the design, integrity, and performance of Hercules’ data ecosystem by establishing scalable architecture, governing data quality, and enabling accessible, reliable data that drives operational and strategic decision-making across the business.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.

DATA INTEGRITY, GOVERNANCE & STEWARDSHIP

· Establish and enforce data governance standards across ERP, data warehouse, and connected systems
· Ensure accuracy, consistency, and reliability of core datasets (item master, lead times, safety stock, supplier and customer data)
· Identify and remediate data quality issues through structured audits and data initiatives
· Define ownership, workflows, and controls for maintaining high-quality master data
· Implement monitoring systems to proactively detect and resolve data anomalies

Performance Expectations:
· Establish high trust in enterprise data
· Eliminate systemic data errors impacting operations
· Ensure consistent, governed data definitions

DATA ARCHITECTURE & SYSTEM INTEGRATION

· Design and maintain scalable data architecture connecting ERP (Infor M3), data warehouse, CRM, and external systems
· Build and manage data pipelines (ETL/ELT) to ensure timely and accurate data availability
· Enable seamless data flow across systems to support real-time and near-real-time decisions
· Standardize data models to support analytics and operational processes

Performance Expectations:
· Deliver reliable, scalable, and efficient data pipelines
· Reduce latency and manual intervention across systems
· Enable seamless system integration\

MRP & OPERATIONAL SYSTEM ENABLEMENT

· Ensure MRP and planning systems are supported by accurate and structured data
· Partner with supply chain and operations to optimize lead times, safety stock, and planning parameters
· Identify and resolve data issues driving inefficiencies in purchasing, production, and inventory
· Support the evolution of MRP into a proactive, optimized planning system

Performance Expectations:
· Improve effectiveness of MRP and planning systems
· Reduce operational inefficiencies caused by poor data
· Enable proactive planning capabilities

DATA ACCESSIBILITY & DECISION ENABLEMENT

· Build data models that make data accessible for analysts, data scientists, and business leaders
· Develop datasets that enable rapid analysis and insight generation
· Support dashboards, reporting tools, and self-service analytics capabilities
· Ensure key business metrics are consistently defined and trusted

Performance Expectations:
· Improve accessibility and usability of enterprise data
· Enable faster, more informed decision-making
· Establish consistency in key business metrics

CROSS-FUNCTIONAL COLLABORATION

· Partner with Data Science to provide clean, structured datasets for modeling
· Translate business requirements into data architecture solutions
· Work with supply chain, operations, and finance leaders to prioritize data needs
· Serve as a bridge between technical systems and business application

Performance Expectations:
· Build strong cross-functional relationships
· Align data solutions with business needs
· Influence adoption of data-driven practices

TRANSFORMATION & CONTINUOUS IMPROVEMENT

· Lead initiatives to modernize data infrastructure and capabilities
· Identify opportunities to automate manual processes and eliminate workarounds
· Drive transition toward a fully integrated, data-driven operating model
· Establish best practices for data engineering within the organization

Performance Expectations:
· Drive measurable improvements in efficiency and data reliability
· Reduce reliance on manual processes and spreadsheets
· Contribute to long-term digital transformation

KEY PERFORMANCE FOCUS AREAS

Performance in this role is measured through contribution to:
· Data accuracy, integrity, and reliability across systems
· System integration and data pipeline performance
· MRP and planning system effectiveness
· Accessibility and usability of data for decision-making
· Reduction of manual processes and data issues
· Business impact including inventory, service levels, and operational efficiency

WHAT SUCCESS LOOKS LIKE

· Measurable business impact across supply chain, operations, and commercial performance

· Data-driven decision-making becomes embedded in daily operations

· Strong adoption of models and insights across the organization

· Continuous pipeline of high-value analytical initiatives

· Recognized as a key contributor to enterprise transformation

QUALIFICATIONS, EDUCATION AND/OR EXPERIENCE: To perform this job successfully, an individual must be able to perform each of the below essential duties satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability preferred. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

· Bachelor’s degree preferred (Data Engineering, Computer Science, Information Systems, or related field)
· Experience with data architecture, data pipelines, and system integration
· Experience working with ERP systems, data warehouses, and analytics platforms
· Strong understanding of data governance, data quality, and master data management
· Experience supporting supply chain, operations, or business analytics environments preferred
· Proficiency in data tools, SQL, and data modeling concepts
· Strong analytical and problem-solving skills
· Ability to translate business needs into technical solutions
· Experience working cross-functionally in a fast-paced environment

Why Hercules

· Opportunity to make a material impact; your work will matter

· Work in a company that is actively transforming and investing in data and analytics

· Employee-owned (ESOP), aligning effort with long-term value creation

· Right-sized organization: large enough for complexity, small enough for visibility and impact

· A culture that values curiosity, problem-solving, and continuous improvement

LANGUAGE SKILLS: Ability to effectively communicate with customers and staff to make an accurate assessment of customer needs.

MATHEMATICAL SKILLS: Ability to perform basic mathematical calculations required to accurately complete assigned tasks.

COMPUTER SKILLS: Intermediate/Advanced computer skills, including Microsoft Office and ability to learn any additional software needed to perform job duties.

REASONING ABILITY: Ability to interpret a variety of instructions furnished in oral or written form. Ability to use sound judgment and problem-solving skills.

ATTENDANCE DEMANDS: The attendance demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Attendance is required Monday through Friday 8:00 A.M. to 5:00 P.M. or within normal business hours as established by the supervisor. Employee may be required to work overtime, and occasional Saturday’s and Sunday’s.

PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit; walk and stand; use hands, handle, or feel; and required to speak, read, and hear English. The employee frequently is required to reach with hands and arms. The employee is occasionally required to climb or balance; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include the ability to adjust focus.

WORK ENVIRONMENT: The work environmental characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

· The noise level in the work environment is usually moderate but may be loud on occasion.

· This position may on occasion be exposed to extreme weather conditions that may affect a warehouse environment.

· This is a fast-paced environment.

DISCLAIMER: The preceding job description is designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

Hercules Industries is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as a qualified individual with disability, or other legally protected status.


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