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Associate Data Engineering Jobs in Colorado (NOW HIRING)

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

Sr. Data Engineer

Greenwood Village, CO ยท On-site

$115K - $139K/yr

Advanced SQL skills (ETL) * Expertise in data engineering languages such as Scala (preferred) or ... Learn more about Beacon Hill and our specialty divisions, Beacon Hill Associates, Beacon Hill ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Data Engineer - Senior Associate

Denver, CO ยท On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

Data Engineer

Denver, CO ยท On-site

$117K - $141K/yr

Prior experience in professional services, engineering, or construction environments is a plus. * Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ...

Prior experience in professional services, engineering, or construction environments is a plus. * Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer

Aurora, CO

$105K - $135K/yr

Highly preferred Azure Data Engineer Associate (DP-203) * Highly preferred Azure Solutions ... Architect * Highly preferred Power BI Data Analyst (PL-300) * Professional experience with ...

Data Engineer (AWS, Azure, GCP)

Denver, CO ยท On-site

$117K - $141K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems ... AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

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Associate Data Engineering information

What are some typical projects an associate data engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer, and why are they important?

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What is an associate data engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

What is the difference between Associate Data Engineering vs Data Engineer?

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Colorado? The most popular types of Data Engineering jobs in Colorado are:
What are popular job titles related to Associate Data Engineering jobs in Colorado? For Associate Data Engineering jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineering jobs in Colorado look for? The top searched job categories for Associate Data Engineering jobs in Colorado are:
What cities in Colorado are hiring for Associate Data Engineering jobs? Cities in Colorado with the most Associate Data Engineering job openings:
Infographic showing various Associate Data Engineering job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution.

Associate Data Engineer

Kodiak Interiors Group

Englewood, CO โ€ข On-site

$75K - $85K/yr

Full-time

Posted 14 days ago


Job description

About Us:

Kodiak Interiors Group is a family of companies that provide high-quality appliances to professional builders, contractors/remodelers, and consumers. KIG is headquartered in Colorado and currently operates five (5) companies with 35+ locations in 6 states (AZ, CO, PA, TX, WA, & WV). Since 2014, KIG’s dedicated team of appliance and interior experts has been a driving force behind KIG’s success—championing growth, inspiring innovation, and cultivating a culture of excellence. Visit our website to learn more about the KIG family of companies: www.Kodiakig.com.

Position Summary:

The Associate Data Engineer supports executive decision-making and strategic planning by streamlining, maintaining, and analyzing financial data and information. This role is responsible for ensuring the accuracy, accessibility, and reliability of financial and operational data across the organization. Working closely with business leaders and cross-functional teams, the Associate Data Engineer analyzes data, identifies trends and opportunities, and delivers actionable insights that help drive informed business decisions. The ideal candidate combines strong technical skills with a business-minded approach to transforming complex data into meaningful findings and recommendations.


Responsibilities:

  1. Financial Data Integrity & Reporting Tools
    1. Maintain data flow & integrity between ERPs and consolidation reporting/BI software
    2. Integrate numerous data sources & uploads into reporting/BI software or data warehouse
    3. Assist in the development of new reporting capabilities & KPIs
    4. Assist coworkers in learning reporting software
    5. Maintain accesses/security to reporting tools
  2. Segment Financial Analysis
    1. Build and maintain reports used by segment and company management to make crucial operating decisions
    2. Analyze data and look for business growth or savings opportunities
    3. Meet with segment and business leaders to understand business needs
    4. Integrate new acquisitions into financial analysis reporting
  3. Budget & forecasting
    1. Lead select businesses or segments through the entire annual operating planning process (AOP)
    2. Dedicated resource to local or segment presidents on forecast assumptions, including providing recommendations or analysis
    3. Create tools & templates to enhance the budgeting process
  4. Responsible for management reporting & analysis and support of executive, board & investor relations materials, including:
    1. Segment level financial reports
    2. Customer, Vendor, and Product Analysis
    3. Payroll and HC Analysis
    4. Net Working Capital Analysis
    5. Rate/Volume analysis

Qualifications:

  • Bachelors Degree or 3 years experience is required; preferably Computer Science or Data Engineering
  • Strong SQL skills required; experience in Python, Snowflake/data warehouses a plus
  • Knowledge of Power Automate and ETL tools
  • Strong analytical mind and quantitative skillset is required
  • Self-starting attitude with internal drive to succeed

Physical Requirements:

  • Sit, stand, walk, bend, kneel, reach, and lift up to 50 pounds.
  • Operate cameras, computers, lighting, and production equipment.
  • Minimal travel by car or plane

Work Environment:

This position is primarily on-site at our headquarters located at: 188 Inverness Dr. W Ste. 675 Englewood, CO 80112. Regular in-person attendance is required Monday through Thursday. Friday is an optional remote workday.

Why Join Us?

Kodiak’s culture is defined by entrepreneurial spirit, collaboration, and family values—every team member is empowered to thrive and grow!


Kodiak Interiors Group is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by federal, state, or local law.