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Data Engineer Entry Level Jobs in Wheat Ridge, CO

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AI & Machine Learning Engineer

Denver, CO

$117K - $141K/yr

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ... Experience in Python programming and understanding of the software development life cycle.

Microchip's Government Systems group is seeking an entry-level Software Engineer to join our ... Strong understanding of fundamental software engineering concepts (data structures, algorithms ...

Illumination Engineer Lead

Wheat Ridge, CO · On-site

$108K - $143K/yr

Open to considering candidates at the following skill levels: * Entry Level: Contributes to optical ... Use data to guide concept evolution and optimization. Lead or Contribute to Innovation Activities

Illumination Engineer Lead

Wheat Ridge, CO

$108K - $143K/yr

Open to considering candidates at the following skill levels: * Entry Level: Contributes to optical ... Use data to guide concept evolution and optimization. Lead or Contribute to Innovation Activities

Be Seen First

Geotechnical Engineer Requirements: * B.S., M.S., or Ph.D. in Civil or Geological Engineering. A ... field and laboratory test data. Other duties include preparation of design drawings and ...

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Data Engineer Entry Level information

See Wheat Ridge, CO salary details

$47.3K

$137.9K

$188.6K

How much do data engineer entry level jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data engineer entry level in Wheat Ridge, CO is $137,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $146,100.00 per year, depending on experience, location, and employer.

Can I get a data engineer job with no experience?

Entry-level data engineering roles typically require some knowledge of programming, databases, and data processing tools like SQL, Python, or Spark. While prior experience is not always mandatory, demonstrating relevant skills through coursework, certifications, or personal projects can improve your chances of securing an entry-level position.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines, which require complex problem-solving and domain expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on more strategic and complex aspects of data management and analysis.

What engineer makes $500,000 a year?

While most entry-level data engineers do not earn this level of salary, highly experienced data engineers working in finance, technology, or consulting firms can reach or exceed $500,000 annually, especially with bonuses and stock options. Such salaries typically require advanced skills in big data tools, cloud platforms, and extensive industry experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

Is data engineering an entry level job?

Data engineering can be an entry level position, especially for roles that focus on basic data pipeline development and require foundational skills in SQL, Python, or cloud platforms. However, many data engineering roles prefer candidates with some experience or knowledge of big data tools like Hadoop or Spark, making some positions more suitable for those with intermediate skills.

What does a Data Engineer Entry Level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Wheat Ridge, CO? The most popular types of Data Engineer jobs in Wheat Ridge, CO are:
What cities near Wheat Ridge, CO are hiring for Data Engineer Entry Level jobs? Cities near Wheat Ridge, CO with the most Data Engineer Entry Level job openings:
jr java developer/data analyst

jr java developer/data analyst

SynergisticIT

Denver, CO

$95K - $150K/yr

Other

Posted 11 days ago


Job description

Job Opportunity at SynergisticIT

Since 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure. Some of the clients where SynergisticIT-trained developers have been placed include: Google, Apple, Banking, visa, Microsoft, IBM, Oracle, Cisco, Client, Wells Fargo, Client, PayPal, eBay, Walmart, Telecommunication, and bank. At SynergisticIT, we've spent the last 15+ years helping new CS grads/career gap jobseekers/career transition jobseekers make their tech careers. We bridge the gap between your tech skills and the hands-on, employer-ready abilities tech companies demand. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data engineers/data scientists, machine learning engineers for full time positions with clients. All visa types and U.S. citizens are encouraged to apply. Ideal candidates:

  • Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience
  • Jobseekers who had layoffs due to downsizing and want to get in demand tech stack
  • Professionals seeking a career switch to tech
  • Candidates with career gaps or lacking real-world experience
  • Individuals looking to boost their skill portfolio for better job prospects
  • Computer Science grads with limited or no job experience
  • Students who recently finished their Bachelor's or Master's programs
  • Those struggling to land interviews despite having experience
  • Candidates on F1/OPT needing a job for STEM extension or H-1B filing

End-to-end job placement support – we connect you with employers actively looking for entry-level talent. Our candidates have recently landed roles at Google, Visa, Client, Walmart, Mcdonald's, Apple, PayPal, Wayfair, Walgreens, Client and many more. Check below:

  • Candidate Success Outcomes
  • Java Placement Program
  • Data Science Program
  • USA Today Coverage
  • Interview Questions & Blogs
  • Preview our culture in action at industry events

Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT Calculate ROI and see real offer timelines The $100k H1B Filing Fee: Implications on U.S. Tech Employment | SynergisticIT Wage-Based H-1B Filing Backend vs. Full Stack Development: Job Prospects | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Is AI Going to Replace Software Programmers? | SynergisticIT

Responsibilities
  • Develop and maintain Java applications using Spring Boot
  • Design and implement RESTful Microservices for distributed systems
  • Collaborate with DevOps teams to build and maintain CI/CD pipelines using Jenkins, Docker, and Kubernetes
  • Debug, test, and optimize applications for performance and reliability
  • Work in Agile/Scrum environments to meet client delivery standards
  • Partner with cross-functional teams to ensure timely delivery of client requirements
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
  • Strong understanding of Core Java, OOP concepts, and Data Structures
  • Familiarity with Spring Boot, REST APIs, and SQL
  • Exposure to DevOps tools (Git, Jenkins, Docker, Kubernetes)
  • Excellent problem-solving and communication skills
Client Requirements

Our U.S.-based clients typically require:

  • Real-world project experience: Hands-on exposure to enterprise-level applications beyond academic coursework.
  • U.S. work experience: Familiarity with U.S. client expectations, delivery standards, and collaborative team environments.
Competitive Edge with SynergisticIT
  • SynergisticIT has built relationships with thousands of tech clients across the U.S., giving candidates a competitive edge over other jobseekers by securing more interviews and better job offers.
  • Candidates completing the program typically receive job offers ranging from $95,000 to $150,000 annually, depending on skills, location, and client requirements.

If you're ready to launch your career as a Developer or data scientist but feel you're missing some skills or experience, SynergisticIT can bridge that gap. With over a decade of proven success, strong client partnerships, and a focus on real-world readiness, SynergisticIT can help you land your first role in tech.