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Entry Level Data Engineering Jobs in Utah (NOW HIRING)

Bachelor's degree in operations research, engineering, economics, math, statistics, or the sciences. * Excellent verbal communication, written, and quantitative analytical skills in data science ...

POSITION DESCRIPTION: The Process Engineer is an entry level, onsite position based in a ... Also recommended, when applying, to select: "I consent for a global sharing of my personal data to ...

POSITION DESCRIPTION: The Process Engineer is an entry level, onsite position based in a ... Also recommended, when applying, to select: "I consent for a global sharing of my personal data to ...

We are seeking entry-level candidates willing to collaborate, innovate, and team with our engineers ... performance data. The engineer shall have a basic understanding of serial interfaces, hardware ...

This is an entry-level Mechanical Engineer position for an individual with educational experience ... Experience with creation of Technical Data Packages (TDPs) using Geometric Dimensioning and ...

... and data. • Provide facility data research required for modifying existing facilities. • ... engineering, construction and other company personnel. • Provide gas facility information to ...

GIS Technician

American Fork, UT · On-site

$25.32 - $37.99/hr

What You'll Deliver American Fork City is hiring an entry-level GIS Technician to support accurate ... data. This role exists to keep spatial records reliable, searchable, and ready for engineering and ...

Program Specialists

Salt Lake City, UT · On-site

$42K - $55K/yr

... P2 - Developing, P1 - Entry Level Pro FLSA Code Professional Patient Sensitive Job Code? No ... led programming; ensure compliance, safety, and institutional coordination. 8. Data Tracking ...

GIS Technician

American Fork, UT · On-site

$25.32 - $37.99/hr

What You'll Deliver American Fork City is hiring an entry-level GIS Technician to support accurate ... data. This role exists to keep spatial records reliable, searchable, and ready for engineering and ...

Geological And Geotechnical Data Collector Discover your full potential. At Tetra Tech, we are ... We combine consulting and engineering with advanced analytics and technology to solve the world ...

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Entry Level Data Engineering information

What engineer makes $500,000 a year?

While most entry-level data engineering roles do not reach $500,000 annually, senior data engineers with extensive experience, specialized skills in big data tools, and leadership responsibilities can earn this level of compensation, often through a combination of salary, bonuses, and stock options in large tech companies or startups.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency but do not eliminate the core responsibilities of data engineering roles.

What is an Entry Level Data Engineering job?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an Entry Level Data Engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level position.

What are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Which is the hardest field in it?

In entry-level data engineering, the most challenging aspects often involve mastering complex data pipelines, understanding distributed systems, and working with large-scale databases. Developing proficiency in tools like SQL, Python, and cloud platforms such as AWS or Azure can also be demanding for newcomers. Building strong problem-solving skills and gaining certifications can help overcome these challenges.
What are the most commonly searched types of Data Engineering jobs in Utah? The most popular types of Data Engineering jobs in Utah are:
What cities in Utah are hiring for Entry Level Data Engineering jobs? Cities in Utah with the most Entry Level Data Engineering job openings:
Cost Analyst (Entry Level)

Cost Analyst (Entry Level)

Tecolote Research

UT • On-site

Full-time

Posted 11 days ago


Job description

Overview
We're looking for talented individuals to join our Ogden, Utah team who can translate their problem-solving acumen, mathematical forecasting skills, and data analytic background into well-structured cost analyses. At Tecolote Research we offer first class benefits, a competitive salary, collaborative and innovative work environments, along with opportunities for growth and development. Plus, you'll be part of a team that's passionate about "Supporting our nation's most critical programs".
Responsibilities
  • Working as part of an integrated product team, the analyst will perform a wide variety of cost and economic analyses/estimating/engineering support directly interfacing with program offices and assisting the development and presentation of management level briefings as needed.
  • Work may include parametric forecasting, weapon system life cycle costs forecasting, analysis of data sets to determine relationships of costs to various technical and schedule inputs, risk analysis, performance measurement (earned value), cost-benefit analysis, and software cost forecasting.
  • Additional support includes, but is not limited to, the areas of strategy development, scheduling, market research, evaluation criteria development, pre-solicitation documentation review, request for proposal documentation, Independent Program Review documentation, as well as trade studies and providing subject matter expertise during proposal evaluations.

Skills Required
  • Must have 24 semester hours at the college level, in combination, of operations research, mathematics, probability, statistics, mathematical logic, science, accounting, finance, business or subject-matter courses requiring substantial competence in college-level mathematics or statistics.
  • Must have at least 3 semester hours of calculus.
  • Bachelor's degree in operations research, engineering, economics, math, statistics, or the sciences.
  • Excellent verbal communication, written, and quantitative analytical skills in data science, forecasting techniques, and estimating are required.
  • Proficient in the use of M/S office applications, i.e., M/S Project, Word, PowerPoint, and Excel.
  • Must be able to work in a team environment.
  • Successful candidates must possess and/or have the ability to obtain and maintain a Secret and/or Top Secret clearance.
  • U.S. citizenship required.

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.