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Entry Level Gcp Data Engineer Jobs in Minnesota (NOW HIRING)

Data Analyst

Bloomington, MN · On-site

$40 - $45.89/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Partner with data engineering teams to strengthen and streamline analytics workflows. What You ... Knowledge of cloud platforms such as Azure, AWS, or GCP is a plus. * Exposure to Git or other ...

New

Entry-Level Structural Engineer (Hybrid)

Minneapolis, MN · On-site

$69K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Entry-Level Structural Engineer (Hybrid) Our growing firm is looking for passionate problem-solvers ... data, geographic location, experience, and specialized skills. Benefits: Health, dental, vison ...

Entry-Level Structural Engineer (Hybrid)

Minneapolis, MN · Hybrid

$69K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Entry-Level Structural Engineer (Hybrid) Our growing firm is looking for passionate problem-solvers ... data, geographic location, experience, and specialized skills. Benefits: Health, dental, vison ...

Showing results 21-40

Entry Level Gcp Data Engineer information

What does an entry level GCP data engineer do?

An Entry Level GCP Data Engineer is responsible for building, managing, and optimizing data pipelines on Google Cloud Platform (GCP). Their tasks typically include designing data workflows, developing ETL (Extract, Transform, Load) processes, and ensuring data quality and security. They work with tools like BigQuery, Dataflow, and Cloud Storage to facilitate data movement and analysis. The role often involves collaborating with data scientists, analysts, and other engineers to support business intelligence and analytics initiatives. As an entry-level position, it emphasizes learning cloud technologies and best practices while supporting more senior engineers.

What are the key skills and qualifications needed to thrive as an entry level GCP data engineer?

To thrive as an Entry Level GCP Data Engineer, you need a solid understanding of data structures, SQL, Python or Java programming, and a foundational knowledge of cloud computing principles, often supported by a relevant degree or certification. Familiarity with Google Cloud Platform services like BigQuery, Dataflow, Cloud Storage, and tools such as Terraform or Apache Beam is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and address data challenges efficiently. These skills ensure you can design, build, and maintain scalable data solutions that support organizational goals in a cloud environment.

What are some common challenges faced by entry level GCP data engineers, and how can they overcome them?

Entry-level GCP Data Engineers often encounter challenges such as learning to navigate Google Cloud Platform's suite of data tools, understanding cloud security best practices, and efficiently managing large-scale datasets. Adapting to a fast-paced environment where priorities shift quickly can also be demanding. To overcome these challenges, new engineers should leverage available training resources, seek mentorship from experienced team members, and practice working on small-scale projects before tackling larger ones. Collaboration with data scientists, architects, and other engineers is key to building both technical skills and a strong professional network.

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

AspectEntry Level Gcp Data EngineerData Analyst
Required CredentialsGCP certifications, basic SQL, cloud fundamentalsExcel, SQL, data visualization tools, sometimes certifications
Work EnvironmentCloud platforms, data pipelines, infrastructure setupData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with cloud adoptionMarketing, business, finance sectors

While both roles involve working with data, Entry Level Gcp Data Engineers focus on building and maintaining cloud-based data pipelines using GCP tools, whereas Data Analysts primarily analyze data to generate insights and reports. The roles share some skills like SQL but differ in technical depth and responsibilities.

Can I get an entry level Gcp data engineer job with no experience?

Entry level GCP Data Engineer roles typically require some foundational knowledge of cloud platforms, data processing, and SQL, but many employers consider candidates with relevant certifications or coursework even without professional experience. Building skills in tools like BigQuery, Cloud Storage, and Dataflow through online courses or projects can improve your chances of securing an entry-level position. Certifications such as the Google Cloud Associate Cloud Engineer can also enhance your qualifications for these roles.

Is an entry level GCP data engineer in demand?

Entry-level GCP data engineers are in high demand due to the increasing adoption of cloud data platforms and the need for data management skills. Proficiency in Google Cloud tools like BigQuery, Dataflow, and Cloud Storage, along with certifications, can improve job prospects in this growing field.

What are the most commonly searched types of Gcp Data Engineer jobs in Minnesota?

The most popular types of Gcp Data Engineer jobs in Minnesota are:

What are popular job titles related to Entry Level Gcp Data Engineer jobs in Minnesota?

For Entry Level Gcp Data Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Entry Level Gcp Data Engineer jobs in Minnesota look for?

The top searched job categories for Entry Level Gcp Data Engineer jobs in Minnesota are:

Infographic showing various Entry Level Gcp Data Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

IT Specialist (Data Ingestion & Transformation Engineer)

US Department of the Treasury

Saint Paul, MN • On-site

$106K/yr

Full-time

Posted 2 days ago

New


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

309th of 846 rated public administrative organizations


Job description

WHAT IS Information Technology - Data & Platform Engineering?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
  • Position(s) are to be filled in following area(s):
    • IT - Data and Platform Engineering -
    • Consider each location carefully when applying. You will be limited to 1 location choice. If you are selected for a location, that location will be your official post of duty.
Qualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIRMENTS: To qualify for this position, you must meet the qualification requirements outlined below: MINIMUM REQUIREMENTS FOR GRADE 12 LEVEL UP (GS or Equivalent) Applicants must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8) Teamwork and 9) Technical Competence.SPECIALIZED EXPERIENCE GS-13 LEVEL: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes:

  • Independently applying IT principles, concepts, methods, and practices to plan, analyze, implement, maintain, troubleshoot, or enhance IT systems, services, hardware, software, applications, interfaces, scripts, or related technology environments.
  • Performing computer projects, operational, or application-related assignments involving IT requirements and techniques, including resolving technical issues, validating system, application, or code testing and configuration.
  • Preparing technical documentation and applying federal cybersecurity, privacy, or regulatory requirements.
  • Working directly with customers, stakeholders, users, and technical teams to define business or technical requirements, advising on feasible IT approaches, and implementing secure, reliable, scalable IT solutions, including application enhancements where applicable.
  • Assessing system, service, or application performance, availability, reliability, usability, and operational effectiveness.
  • Identifying risks, recurring issues, or defects; and recommending or implementing corrective actions consistent with established policies and procedures.
  • Analyzing multiple technical alternatives and advising management or IT specialists on the selection, configuration, implementation, or improvement of IT solutions, including application components where applicable, to support mission and operational requirements.
  • Operating Python, Spark, Databricks, and AWS data services. Applying data normalization, ingestion automation, and schema mapping. Utilizing Structured Query Language (SQL) for searching, manipulating, and validating large datasets, and scripting languages like Python for automation and testing.
  • Experience with data quality dimensions (e.g., accuracy, completeness, consistency). Utilizing Extract, Transform, Load (ETL) processes and data pipelines and cloud platforms like Amazon Web Services (AWS), Azure, or (Google Cloud Platform) GCP.
  • Experience Applying DevOps and automation best practices by utilizing CI/CD repositories and pipelines and deployment automation (e.g. GitHub, GitHub Actions workflows) to ensure secure, reliable, repeatable, and scalable delivery of data engineering solutions and platform enhancements.

AND
You must also meet the following requirement(s):

  • PERFORMANCE RATING: Current federal employees must have at least a fully successful or equivalent performance rating to receive consideration.
  • TIME AFTER COMPETITIVE APPOINTMENT (TACA): By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens"
  • TIME IN GRADE (TIG): Federal employees must meet time-in-grade requirements. For positions above the GS-05,applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for. For positions at the GS-05, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03, or 04 positions.
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education.

For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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