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Junior Data Engineering Jobs in Colorado (NOW HIRING)

We're looking for dynamic Junior Data Analysts to join our mission! Learn more about us here ... Monitoring overall system and data health and raising any concerns with developers. * Suggest and ...

Senior Data Engineer, Global

Denver, CO ยท On-site

$109K - $148K/yr

Provide technical leadership and mentorship to junior data engineers, promoting engineering standards and best practices. * Participate in architecture discussions, code reviews, and platform design ...

Senior Data Engineer, Global

Denver, CO ยท On-site

$109K - $148K/yr

Provide technical leadership and mentorship to junior data engineers, promoting engineering standards and best practices. * Participate in architecture discussions, code reviews, and platform design ...

You'll solve complex distributed systems and data engineering challenges while influencing the ... Mentor and guide junior engineers to deliver complex, next-generation features. * Bring a customer ...

Building, mentoring, and guiding a pragmatic, delivery-focused team of Junior Data Scientists and Machine Learning Engineers, fostering a culture of rapid iteration, continuous learning, and software ...

Data Engineer - Senior Associate

Denver, CO ยท On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... guiding junior team members - Upholding standards in project deliverables - Building and ...

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Junior Data Engineering information

What does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as a junior data engineer?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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 Junior Data Engineering jobs in Colorado?

For Junior Data Engineering jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Junior Data Engineering jobs?

Cities in Colorado with the most Junior Data Engineering job openings:

Infographic showing various Junior Data Engineering job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Junior Data Analyst - CMBS

StructureIT

Anton, CO โ€ข Hybrid

Full-time

PTO

Re-posted 12 days ago


Job description

DealX is a technology and data company that builds Software-as-a-Service products for the financial market (Securitization), with customers primarily in the US.


We're a people-first product company that believes in building empowered & autonomous product teams to deliver on our Product Vision & Strategy, with a strong culture of collaboration over and above our core values of Curiosity, Can-do, Accountability, Simplicity, Communication and Wellbeing.


Our offices are primarily in Mauritius & South Africa, although we do have team members in the US, UK and New Zealand as well.
Whilst we started in 2006 as a single company, in 2021 we separated the Consulting (StructureIt) part of the business from the Product (DealX) part of the business. Our shared services group "Enablement" remains employed by StructureIt and provides services to both businesses.


In 2021, Morningstar Credit invested in DealX as part of the reorganisation, and in 2023, we launched a collaborative new product. The platform is powered by DealX Tech & Data and marketed as Morningstar Credit Analytics, a well-known and trusted brand in the US market. We are proud to say that as of March 2025, DealX is wholly owned by Morningstar Credit, with the data exclusively provided by our Mauritius team, and we have tremendous ambition to bring deeper and wider value to the market through additional tech and data products.
We're looking for dynamic Junior Data Analysts to join our mission!


Learn more about us here:

  • About DealX
  • Employee Value Proposition
  • Employee Handbook
  • Marketing page for our products - https://credit.morningstar.com/

What a typical day looks like


The Junior Data Analyst will gather, extract, transform and analyze complex products and financial data by working with cutting edge Technology and Tools. You'll have significant opportunities for professional growth within our talented analytics team.


Our Data process consists of the following:

  • Gathering of data - We automatically gather data from a variety of sources.
  • Extracting of data - We extract data from any file format, including PDF.
  • Transforming of data - We then clean, restructure, aggregate and classify the data.
  • Quality Assurance - We perform automated and manual quality assurance steps.
  • Analysing of data - We analyse and get insights into the data.
  • Delivering of data - We deliver the data and insights via a website or feed.


What you'll do

  • Scrutinising legal documents and identifying relevant information from Deal documents pertaining to CMBS & CRE CLO's.
  • Analysing complex product data.
  • Mapping of monthly updates to system settings.
  • Perform Quality Assurance checks.
  • Launch and monitor processes quickly to deliver data rapidly.
  • Setting up extraction rules on the system and monthly processing of data extraction.
  • Review report integrity as per guidelines/format.
  • Solving and answering clients' queries via email & phone Call.
  • Contact other companies to get more information when required.
  • Checking revised reports and updating data as necessary.
  • Monitoring overall system and data health and raising any concerns with developers.
  • Suggest and implement process improvements/Process documentation.
  • Identifying opportunities to improve data processing and providing practical solutions to automatize processes.
  • Contribute and participate in Ad-Hoc projects.

What we are looking for


We highly value the culture aspect of our team, so a good culture-fit is a deal for us.

  • Creative, Critical thinking and problem-solving skills.
  • Has good numeracy skills (ideally with some level of financial or accounting experience).
  • Analyses and interprets complex data sets relating to financial products.
  • IT savvy and ability to work in an information systems environment.
  • Quick learner, Strong analytical and problem-solving mind-set.
  • Enthusiastic about new concepts and have a strong desire to strive for improvement.
  • Ability to work independently and set priorities.
  • A determination to process tasks according to pre-defined processes is essential.
  • Excellent teamwork skills and work effectively in cross-functional teams.
  • Ability to work under pressure & multi-task, using a team approach to solve problems when appropriate.
  • Strong communication skills - Both Verbal & Written.
    High proficiency with Microsoft Office Suite.
  • A basic knowledge of SQL, VBA & Power BI would be an advantage.
  • Working Hours: Flexibility in terms of working hours - Work according to US trading hours during peak days.


Qualifications:

  • Degree in Finance/ Banking/ Business Intelligence/ Administration/Mathematics/Statistics or any other related field.
  • At least 1 year of working experience.


What's in it for you?


Our internalemployee handbook, including details about our benefits, is published publicly - so feel free to read through it there, or look at the highlights below


  • Working
    • Hybrid working environment - Work From Home or Office (with Friday office lunch)
  • First Day Starting Kit
    Yours to own:
    • Money towards keyboard of your choice
    • Headset
    • Laptop Riser
    • Mouse
  • Company owned take home set up:
    • High-spec laptop
    • 27" Screen
    • 24" Screen
  • Insurance - fully paid on top of, not out of your salary
    • Medical Aid
    • Life Insurance
  • Learning
    • Learning Budget - Books or Courses - you choose how to use it
  • Culture
    • Employee-first culture that encourages work/life balance
    • Everyone has a voice, regardless of title
    • Psychological safety
    • Annual company outings
  • Leave
    • 22 days paid annual leave
    • Paid Maternity, Paternity, Study & Moving leave
  • Long-Term Loyalty Benefits
    • 2 years - monthly budget towards a cell phone contract OR petrol card
    • 5 years - 3 additional days annual leave
    • 7 years - A family weekend away
    • 10 years - 3 month paid sabbatical