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Data Junior Jobs in Minnesota (NOW HIRING)

Data Engineer - Junior

Virginia, MN · On-site

$100 - $125/hr

Job Overview XPECT Solutions is seeking a Junior Data Engineerto support our Federal Government Customer with delivering secure, cloud-based mission systems. The Engineer will contribute to the end ...

Data Scientist

Virginia, MN · On-site

$125 - $150/hr

The Data Scientist will develop AI/ML models through training, fine-tuning, feature engineering ... Junior: 0 - 3 years of experience + Bachelor's Degree * Journeyman: 4 - 7 years of experience ...

Data Architect

Virginia, MN · On-site

$150 - $200/hr

The Data Architect is responsible for designing and governing the entire data ecosystem of the War ... Junior: 0 - 3 years of experience + Bachelor's Degree * Journeyman: 4 - 7 years of experience ...

Data Analyst

Virginia, MN · On-site

$125 - $150/hr

The Data Analyst will use Advana platform data to identify trends, patterns, and actionable ... Junior: 0 - 3 years of experience + Bachelor's Degree * Journeyman: 4 - 7 years of experience ...

Data Engineer

Virginia, MN · On-site

$125 - $150/hr

The Data Engineer will design, build, and maintain the core WDP data infrastructure and pipelines ... Junior: 0 - 3 years of experience + Bachelor's Degree * Journeyman: 4 - 7 years of experience ...

Chief Data/AI Engineer

Virginia, MN · On-site

$125 - $150/hr

This person will mentor junior data engineers, foster knowledge sharing across data disciplines, and stay current with emerging data technologies and methodologies. This person will develop strategic ...

Data Quality Analyst

Virginia, MN · On-site

$125 - $150/hr

The Data Quality Analyst will monitor and ensure data integrity and accuracy across the Advana ... Junior: 0 - 3 years of experience + Bachelor's Degree * Journeyman: 4 - 7 years of experience ...

Data Security Engineer

Virginia, MN · On-site

$125 - $150/hr

The Data Security Engineerwill ensure the security and compliance of the WDP data platform and its ... Junior: 0 - 3 years of experience + Bachelor's Degree * Journeyman: 4 - 7 years of experience ...

Data Engineer

Minneapolis, MN · On-site

$100 - $125/hr

Mentor junior engineers and foster a culture of collaboration and technical excellence within the data team. Skills and Qualifications * Strong experience in SQL, Python. Familiarity with data ...

Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

... junior and mid-level engineers through code reviews, technical support, and knowledge sharing - Collaborate closely with product owners and stakeholders to develop and execute data engineering ...

The Data Scientist II leverages machine learning and Generative AI (LLMs) to deliver scalable, data ... Mentor junior team members and help elevate overall team capabilities. Essential Duties ...

Leidos is seeking a Junior Software Engineer , who will be a member of a dynamic team in ... The Terminal Flight Data Management (TFDM) program is a Federal Aviation Administration's (FAA ...

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Data Junior information

What is a data junior?

Data Juniors are entry-level professionals who assist in collecting, cleaning, and analyzing data to support business decision-making. They typically work under the supervision of senior data analysts or data scientists and are responsible for tasks like data entry, basic data analysis, and generating simple reports. This role is ideal for those who are new to the data field and looking to gain practical experience while developing technical and analytical skills. Data Juniors often use tools such as Excel, SQL, and basic data visualization software. As they gain experience, they may progress to more advanced data roles within an organization.

What are the key skills and qualifications needed to thrive as a data junior, and why are they important?

To thrive as a Data Junior, you need a foundational understanding of data analysis, statistics, and proficiency with spreadsheet software, often supported by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and basic data visualization platforms such as Tableau or Power BI is typical. Attention to detail, problem-solving skills, and effective communication help you accurately interpret data and present findings clearly. These competencies are crucial for ensuring data accuracy, supporting decision-making, and contributing to team projects in a data-driven environment.

What are some common challenges faced by data juniors when working with large datasets, and how can they overcome them?

Data Juniors often encounter challenges such as data quality issues, inconsistencies, and managing large volumes of information. These can be overwhelming at first, but using tools like SQL for data cleaning, and learning best practices in data validation, can help mitigate these issues. Collaborating closely with senior analysts and engineers is also key, as they can provide guidance and review your work to ensure accuracy. Staying organized and asking questions early on will support your development and help you handle more complex tasks over time.

What is the difference between Data Junior vs Data Analyst?

AspectData JuniorData Analyst
Required CredentialsOften an entry-level degree in data-related fields, certifications like Excel or basic SQLTypically a degree in data science, statistics, or related fields; may hold certifications like SQL, Python, or Tableau
Work EnvironmentSupportive, learning-focused roles in teams, often under supervisionIndependent or team-based roles analyzing data, creating reports, and providing insights
Employer & Industry UsageUsed across industries as an entry-level position for data support rolesCommonly employed in finance, marketing, tech, and healthcare for data analysis tasks

In summary, Data Juniors are entry-level roles focused on learning and supporting data tasks, while Data Analysts have more experience and responsibilities in analyzing data and generating insights. The roles often overlap in skills and tools used, but Data Analysts typically handle more complex analysis and decision-making.

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

The most popular types of Data jobs in Minnesota are:

Infographic showing various Data Junior job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineer - Junior

Virginia, MN • On-site

$100 - $125/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Company Overview

XPECT Solutions, LLChas built a strong reputation by supporting our clients in meeting their strategic goals and mission objectives. We provide high quality resources for a wide range of IT and security solutions at best-value pricing. Our success is built on a solid foundation of well-vetted, highly technical personnel, a disciplined project management approach, and an overarching commitment to customer service. We develop, test, deploy, and support exceptional solutions that enhance system functionality, while maximizing reliability and availability, and ensure the tightest security.

Job Overview

XPECT Solutions is seeking a Junior Data Engineerto support our Federal Government Customer with delivering secure, cloud-based mission systems. The Engineer will contribute to the end-to-end technical design across full-stack applications, microservices, and AWS infrastructure, setting architectural direction and guiding a team of engineers through delivery. This role spans front-end (React, JavaScript, HTML/CSS), back-end (Java, Spring Boot, Python, Apache Camel, GraphQL), data, and cloud layers — translating mission requirements into scalable, maintainable solutions that meet federal compliance requirements (NIST 800-53, FedRAMP, DHS 4300A). The ideal candidate is a hands‑on technical leader who can move fluidly between whiteboard design, code review, and stakeholder briefings, and who has a track record of leading architecture for complex distributed systems in regulated environments. As a Hybrid position, there is an onsite requirement of one day per week.

Core Responsibilities
  • Design end-to-end solution architectures for secure, cloud-based data platforms supporting federal mission workloads, including data ingestion, processing, storage, and analytics layers.
  • Develop reference architectures, design patterns, and architectural decision records (ADRs) that guide engineering teams and ensure consistency across the program.
  • Architect distributed data processing pipelines using Spark and PySpark, defining partitioning, caching, and resource strategies to optimize throughput and cost.
  • Lead database design and data modeling efforts for relational and analytical workloads, including schema design, indexing strategy, and SQL performance tuning.
  • Define storage and compute optimization strategies — tiering, right-sizing, autoscaling, and workload placement — to balance performance against budget constraints.
  • Collaborate with DevSecOps to embed security and compliance controls (NIST 800-53, FedRAMP, DHS 4300A) into architectural designs and CI/CD workflows using GitHub, Jenkins/CloudBees, Ansible, Terraform, and Vault.
  • Conduct architectural reviews, design trade‑off analyses, and proof‑of‑concept evaluations to validate solutions before full implementation.
  • Produce architecture documentation, diagrams, and technical briefings tailored to engineering, security, and government stakeholder audiences.
  • Provide technical leadership and mentorship to engineering teams, guiding implementation decisions and resolving complex design issues.
  • Partner with program leadership to assess emerging technologies, evaluate vendor offerings, and recommend roadmap investments aligned to mission needs.
Requirements
  • Must Be A US Citizen Able to Obtain A Public Trust Level 6C
  • 3-5 years of Information Assurance experience
  • Experience with the following technologies:
    • Python
    • Spark
    • PySpark
    • SQL and Database Implementation
    • Data Engineering and Data Pipelines
    • Storage and Compute Optimization
    • GitHub
    • Jenkins/Cloudbees
    • Ansible
    • Terraform
    • Vault
Preferred Additional Skills and Qualifications
  • Bachelor’s Degree in Computer Science or related field.
Benefits

Xpect Solutions, LLCis a one-of-a-kind employer with a talented team that is cleared at various levels and is certified in dozens of industry-recognized certifications. Our talented staff are the key to our success. They bring the knowledge, experience and technical skills to deliver the best solutions to our customers.

We support our team by providing open communication, win‑win partnerships with clients and vendors, a team-oriented culture,and a focus on professional development and growth for a long‑lasting and happy career.

We offer a benefits package that is designed to keep our most important assets – our employees – healthy, happy, energized and moving forward. Our philosophy is simple – empower our employees with the benefits, resources and the financial incentives they need to be successful.

Benefits and Perks:

  • A competitive Medical, Dental, and Vision plan
  • Retirement Savings Plan
  • Life Insurance
  • AD&D Insurance
  • Short Term and Long Term Disability Insurance
  • 3 weeks of annual PTO
  • 11 days of Holiday PTO
  • Performance Awards
  • Referral Bonus Plan (of up to $5,000/year)
  • Education Reimbursement/Training (of up to $2,500/year)
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