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Internship Google Bigquery Jobs (NOW HIRING)

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

... internships, personal projects, or early professional experience. * Working knowledge of SQL ... Exposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery ...

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

$60 - $80/hr

... internships, personal projects, or early professional experience. * Working knowledge of SQL ... Exposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery ...

Expression

Junior Data Engineer (DEA)

Washington, DC · On-site

$129K - $155K/yr

... internships, personal projects, or early professional experience. * Working knowledge of SQL ... Exposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery ...

Expression Networks

Junior Data Engineer (DEA)

Washington, DC · On-site

$129K - $155K/yr

... internships, personal projects, or early professional experience. * Working knowledge of SQL ... Exposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery ...

Guarantors Technology Service Inc

$100 - $125/hr

... Google BigQuery, etc). * Experience with AI-integrated development (tools such as Cursor, Claude ... Previous internship or coursework related to data engineering. * Opportunities to make an impact ...

Theguarantors

Data Engineer

Manhattan, NY · On-site

$100 - $125/hr

... Google BigQuery, etc). * Experience with AI-integrated development (tools such as Cursor, Claude ... Previous internship or coursework related to data engineering. * Opportunities to make an impact ...

Geotab

Lead Software Developer

Atlanta, GA · On-site

$111K - $139K/yr

... Google BigQuery. * Strong database proficiency with SQL Server and Postgres database design ... for interns over several years. * Excellent communication and organizational skills, with the ...

Theguarantors

Data Engineer

New York, NY · On-site

$115K - $130K/yr

... Google BigQuery, etc). * Experience with AI-integrated development (tools such as Cursor, Claude ... Previous internship or coursework related to data engineering. Benefits * Opportunities to make an ...

KeyBank

$14 - $18.75/hr

... BigQuery, Python, SQL, JavaScript, Google Cloud Platform, SOAR, SIEM, Proxy) * Upon successful completion of the internship, you will have the opportunity to be considered for placement (after ...

Qvest

$125 - $150/hr

... BigQuery, Google Cloud Pub/Sub, Dataflow, and Looker * 3+ years Project Management, Process ... internships, at all levels of employment. #J-18808-Ljbffr

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How much do internship google bigquery jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for internship google bigquery in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Google Bigquery vs Data Analyst Intern?

AspectInternship Google BigqueryData Analyst Intern
Required SkillsSQL, data analysis, cloud platformsExcel, SQL, data visualization
Work EnvironmentTech companies, cloud servicesVarious industries, data-focused teams
CertificationsGoogle Cloud certifications helpfulBasic data analysis certifications optional
Industry UsagePrimarily tech and cloud providersBroad across multiple sectors

Internship Google Bigquery focuses on working with cloud-based data warehousing and SQL in tech environments, often requiring familiarity with Google Cloud tools. Data Analyst Internships are broader, emphasizing data analysis, visualization, and reporting skills across various industries. Both roles involve data handling but differ in technical focus and industry application.

Is Google Bigquery difficult to learn?

Learning Google BigQuery for an internship role involves understanding SQL queries, data analysis, and cloud-based data warehousing concepts. While it has a learning curve, many resources and tutorials are available to help beginners develop proficiency quickly. Familiarity with SQL and basic data concepts can facilitate the learning process.

Is it hard to get a Google internship?

Securing a Google BigQuery internship is competitive due to high applicant volume and rigorous selection processes. Candidates typically need strong technical skills in SQL, data analysis, and familiarity with cloud platforms, along with relevant coursework or projects. Demonstrating problem-solving ability and a solid understanding of Google's tools can improve chances of acceptance.
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Internship Google Bigquery jobs near you
Infographic showing various Internship Google Bigquery job openings in the United States as of September 2026, with employment types broken down into 13% Internship, 1% As Needed, 66% Full Time, 19% Part Time, and 1% Contract. Highlights an 77% Physical, 1% Hybrid, and 22% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Junior Data Engineer (DEA)

Arlington, VA • On-site

Hatch IT
11 - 50 employees
Learn more about Hatch ITexternal

$131K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

hatch I.T. is partnering with Expression to find a Junior Data Engineer (DEA). See details below:

About The Role:

Expression is seeking a Junior Data Engineer to support the Drug Enforcement Administration (DEA) Investigative Case and Data Ecosystem (ICDE) modernization effort. The program is focused on replacing fragmented legacy investigative and case management capabilities with a centralized, secure, scalable, and integrated ecosystem.

Working alongside experienced data engineers and other technical team members, the Data Engineer 2 will support data ingestion, transformation, validation, migration, and integration activities. This is an early-career opportunity for an individual with foundational data engineering knowledge who is interested in developing hands-on experience supporting a large-scale Federal technology modernization program.

Clearance: Secret level required and willingness to pursuit TS/SCI.
Location: Arlington, VA. The program is primarily onsite at DEA Headquarters.

About the Company:

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression’s “Perpetual Innovation” culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

Responsibilities:
  • Assist in designing, developing, and maintaining ETL pipelines for ingesting, transforming, and loading datasets under the guidance of more experienced engineers.
  • Support migration of legacy data into the modernized DEA investigative and case management ecosystem.
  • Assist with analyzing data structures, source-to-target mappings, and data-quality checks to identify issues or gaps.
  • Help ensure data accuracy, consistency, and integrity by executing validation queries, profiling datasets, and supporting data-cleaning efforts.
  • Contribute to data migration activities, including mapping source data to target systems and executing migration scripts.
  • Support data cleaning, standardization, classification, and tagging activities.
  • Collaborate with analysts, data scientists, engineers, and business stakeholders to translate requirements into data transformations and pipeline updates.
  • Monitor pipeline performance and assist with troubleshooting operational issues, escalating complex issues as appropriate.
  • Participate in validation activities and help document migration results and identified data-quality issues.
  • Participate in Agile ceremonies and support data engineering activities throughout development sprints.
  • Help document data flows, transformation logic, mappings, and operational processes to support maintainability and knowledge sharing.
Qualifications:
  • Bachelor's degree in STEM fields and 0–1 years of professional experience.
  • Foundational exposure to data analysis, ETL concepts, or data migration through coursework, internships, personal projects, or early professional experience.
  • Working knowledge of SQL, including basic queries, joins, and aggregations.
  • Familiarity with Python for data manipulation or automation tasks; introductory-level experience is acceptable.
  • Introductory experience with ETL or workflow tools such as Apache Airflow, Talend, or similar technologies.
  • Understanding of basic data warehousing concepts, including staging, fact/dimension models, or schema structures.
  • Exposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery, Azure Storage, or similar environments.
  • Foundational understanding of data profiling, validation, and data quality.
  • Strong communication and documentation skills.
  • Ability and willingness to learn in a fast-paced, evolving technical environment.
Preferred Qualifications:
  • Hands-on or coursework experience with AWS, Azure, or Google Cloud Platform.
  • Exposure to Hadoop, Spark, or other distributed-processing technologies.
  • Familiarity with Power BI, Tableau, Looker, or similar visualization tools.
  • Familiarity with Git or similar version-control systems.
  • Experience building or supporting automated data workflows using orchestration tools or scheduled scripting.
  • Exposure to Agile development methodologies.
  • Coursework, internship, project, or professional exposure to data migration or system-modernization activities.

Benefits:

Expression offers competitive salaries and benefits, such as:

  • 401k matching

  • PPO and HDHP medical/dental/vision insurance

  • Education reimbursement

  • Complimentary life insurance

  • Generous PTO and holiday leave

  • Onsite office gym access

  • Commuter Benefits Plan

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.