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Entry Level Analytics Engineer Jobs in Washington

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Entry Level Analytics Engineer information

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

AspectEntry Level Analytics EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; some certificationsBachelor's in Statistics, Math, or related field; certifications optional
Work EnvironmentTechnical teams, data engineering projects, software toolsBusiness units, reporting, data visualization tools
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, retail
Common Search & ComparisonYesYes

The Entry Level Analytics Engineer focuses on building data pipelines, integrating data sources, and supporting data infrastructure, often requiring programming skills. Data Analysts primarily interpret data, create reports, and visualize insights for business decisions. While both roles work with data, Analytics Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and reporting.

What does an Entry Level Analytics Engineer do?

An Entry Level Analytics Engineer is responsible for building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for analysis. They work closely with data analysts and data scientists to create data models and automate data workflows, often using tools like SQL, Python, and cloud data platforms. Entry level positions focus on learning best practices, supporting senior engineers, and helping the organization make data-driven decisions by providing clean and reliable data.

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

To thrive as an Entry Level Analytics Engineer, you need a solid grounding in data analysis, SQL, and basic programming skills, often supported by a degree in computer science, statistics, or a related field. Familiarity with data modeling tools, analytics platforms like dbt, and cloud data warehouses such as Snowflake or BigQuery is typically expected. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills that help bridge technical and business needs. These skills ensure accurate, actionable data insights and smooth collaboration with cross-functional teams in data-driven environments.

What types of projects do Entry Level Analytics Engineers typically work on, and how do they collaborate with data teams?

Entry Level Analytics Engineers often assist with building and maintaining data pipelines, transforming raw data into usable formats for analysis, and developing reports or dashboards for business stakeholders. They work closely with data analysts to understand reporting needs and with data engineers to ensure data quality and efficient data flow. Collaboration is key, as they may participate in team meetings, code reviews, and documentation efforts to support broader analytics goals. This role provides hands-on experience with modern data tools while offering opportunities to learn from more senior team members.
What are the most commonly searched types of Analytics Engineer jobs in Washington? The most popular types of Analytics Engineer jobs in Washington are:
What are popular job titles related to Entry Level Analytics Engineer jobs in Washington? For Entry Level Analytics Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Entry Level Analytics Engineer jobs in Washington look for? The top searched job categories for Entry Level Analytics Engineer jobs in Washington are:
What cities in Washington are hiring for Entry Level Analytics Engineer jobs? Cities in Washington with the most Entry Level Analytics Engineer job openings:
Entry Level Analytics Engineer jobs near you
Infographic showing various Entry Level Analytics Engineer job openings in Washington as of June 2026, with employment types broken down into 1% Locum Tenens, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Declassification Analyst - Entry Level

Declassification Analyst - Entry Level

Global Engineering & Technology, Inc. (GET)

Hyattsville, MD • On-site

$75K - $90K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 21 days ago

Job description

This is an entry-level professional position on our Declassification Analysis team and training is provided.
Work is 100% ON-SITE (no remote). Work takes place primarily at the National Archives & Records Administration (NARA) facility in College Park, Maryland.
Global Engineering & Technology (GET) is seeking a highly qualified individual for the position of Declassification Analyst I in support of the Department of Energy's Office of Classification. This is a highly compensated permanent position as a full-time employee with benefits.
As a Declassification Analyst I, you'll gain specialized training while playing a vital role in safeguarding some of our nation's most sensitive national security information, making a real impact as you grow your career. Your analytical work directly shapes how critical government information is understood, protected, and responsibly released to the public.
The Declassification Analyst I conducts declassification reviews and analyses of classified government information relating to nuclear weapons technology and naval nuclear propulsion systems. This work takes place primarily at the NARA II facility in College Park, Maryland. Analysis of classified records for purposes of declassification is performed in accordance with applicable laws, regulations, DOE orders, and DOE Office of Classification procedures for Restricted Data (RD), Formerly Restricted Data (FRD), and National Security Information (NSI) related to technical areas such as:
  • Nuclear weapons design, development, testing, production, and deployment
  • Special nuclear material (SNM) production technologies
  • Nuclear weapons safeguards and security, and transportation
  • Intelligence/counterintelligence
  • Chemical and biological defense activities
  • Radiological weapons
  • Space nuclear reactors
  • Naval nuclear propulsion

Compensation Range: $75,000-$90,000/Year
Apply today to launch a high-impact career at the intersection of national security, science, and history.
Requirements
Security Clearance:
  • MUST possess an active DOE Q clearance or an active DOD Top Secret clearance

Location:
  • Applicants must reside within a 1-hour commute from College Park, Maryland

Skills:
  • Applicants MUST pass an online pre-employment reading comprehension assessment

Experience:
  • This is an entry-level position and training is provided
  • Experience in classification and/or declassification is not mandatory but highly sought after
  • Individuals who have completed DOE's Historical Records Restricted Data Reviewers (HRRDR) course are strongly encouraged to apply

Education:
  • Although a Bachelor's degree in engineering, physical science, or nuclear science from an accredited university or college is required,
    • Individuals with a Bachelor's degree and any other relevant training in nuclear weapons or nuclear reactor technology will be strongly considered
    • Individuals with a Bachelor's degree and experience in related declassification analysis will be strongly considered
    • Graduates of the Navy Nuclear Power School are urged to apply regardless of their academic major

Benefits
We provide exceptional benefits to our full-time employees (spouse/family coverage option is available at a company-subsidized rate).
Benefits include:
  • Medical Plan Options With UnitedHealthcare
  • Dental Insurance
  • Long-term and Short-term Disability Insurance
  • Life Insurance
  • AD&D Insurance
  • Generous 401(k) Match

All benefits are effective on day one of employment.
This job posting is not intended to be a comprehensive list of duties or qualifications. The qualifications and requirements listed in this posting are intended as a general guide. Meeting these criteria does not guarantee selection, as additional factors (including nature of experience, skills, and organizational needs) will be considered during the review process.
Global Engineering & Technology, Inc. (GET) does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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