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Entry Level Google Bigquery Jobs (NOW HIRING)

Babel Street

Data Warehouse Software Engineer I

$117K - $140K/yr

This is an entry-level position perfect for a self-starter who possesses strong foundational SQL ... data models and tables inside Google BigQuery. Help write and update foundational SQL ...

First Financial

Data Analyst I

Center, TX · On-site

This role is an entrylevel position and is expected to perform assigned duties under established ... to Snowflake , Google BigQuery , SQL Server , MS Fabric and other structured data sources as ...

First Financial Bank

Data Analyst I

Terre Haute, IN · On-site

This role is an entry-level position and is expected to perform assigned duties under established ... to Snowflake , Google BigQuery , SQL Server , MS Fabric and other structured data sources as ...

First Financial Bank

Data Analyst I

Abilene, TX · On-site

This role is an entrylevel position and is expected to perform assigned duties under established ... to Snowflake , Google BigQuery , SQL Server , MS Fabric and other structured data sources as ...

Paramount

Associate Data Scientist

Manhattan, NY · On-site

$64K - $65K/yr

We are seeking an Associate Data Scientist for this entry-level role. You will work to support the ... You might also have: Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs)

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Entry Level Google Bigquery information

What is the difference between Entry Level Google Bigquery vs Data Analyst?

AspectEntry Level Google BigqueryData Analyst
Required SkillsBasic SQL, data querying, cloud platform familiaritySQL, data visualization, statistical analysis
CertificationsGoogle Cloud certifications helpful but not mandatoryRelevant certifications like Microsoft or Tableau beneficial
Work EnvironmentCloud-based data environments, tech companies, data teamsOffice or remote, various industries including finance, marketing
Job FocusData storage, querying, and management using BigQueryInterpreting data, creating reports, supporting decision-making

Entry Level Google Bigquery roles focus on managing and querying data within Google Cloud, requiring basic SQL skills. Data Analysts often perform broader data interpretation and reporting tasks across industries. While both roles involve SQL, Bigquery specialists concentrate on cloud data platforms, whereas Data Analysts focus on analyzing and visualizing data to inform business decisions.

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Infographic showing various Entry Level Google Bigquery job openings in the United States as of July 2026, with employment types broken down into 26% Locum Tenens, 18% As Needed, 35% Full Time, 2% Contract, and 19% Nights. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.

Data Warehouse Software Engineer I

Babel Street

Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 8 days ago

Job description

Babel Street is the trusted technology partner for the world's most advanced identity intelligence and risk operations. We deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K. For more information, visit www.babelstreet.com.
Job Description:
We are looking for a motivated Software Engineer I to join our data team! In this role, you will help build, maintain, and support our core data warehouse solutions on Google Cloud Platform (GCP). You will collaborate closely with data analysts and business stakeholders to translate reporting requests into clean data models and Looker dashboards. This is an entry-level position perfect for a self-starter who possesses strong foundational SQL skills, an eye for business analysis, and sharp attention to detail. This would be a hybrid role out of one of our 3 US offices - Somerville, MA, Reston, VA , Chagrin Falls, OH or potentially fully remote for candidates outside those areas.
Responsibilities:
  • Data Pipelines & Modeling: Assist in building and maintaining data models and tables inside Google BigQuery. Help write and update foundational SQL transformation logic to support business analytics.
  • Business Analysis & Collaboration: Partner with analysts and business stakeholders to understand their data and reporting needs, translating those requirements into clean, structured tables and views.
  • Business Intelligence: Build, manage, and optimize Looker dashboards and reports, ensuring business users can easily access actionable data.
  • Data Quality & Attention to Detail: Ensure data integrity and consistency across data marts by writing validation queries and row-count checks to catch discrepancies early.
  • Pipeline Monitoring: Help monitor and maintain basic Apache Airflow (Cloud Composer) DAGs written in Python, ensuring daily data loads run smoothly.
  • Performance Basics: Learn and apply standard query optimization techniques, including BigQuery partitioning and clustering best practices.

Job Requirements:
  • Foundational SQL Skills: Strong command of SQL (joins, aggregations, and familiarity with window functions).
  • Data Warehouse Exposure: A solid conceptual understanding of relational databases, ETL/ELT concepts, and standard data warehousing structures (tables, views, and data lakes).
  • BI / Looker Experience: Hands-on experience or academic exposure to building dashboards in Looker (or similar BI tools like Tableau/PowerBI).
  • Basic Python & Git: Familiarity with Python for basic scripting/automation and comfort using Git for version control.
  • The Mindset (Self-Starter): A proactive learner who takes initiative to solve problems and figures out how things work.
  • Analytical Nature: The ability to look at a business problem, analyze the underlying data requirements, and implement a structured solution.
  • Attention to Detail: Deep care for data quality-you are someone who double-checks your query results and takes pride in data accuracy.

Benefits at Babel Street (just to name a few...)
  • Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances - for you and your family!
  • Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
  • Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
  • Holidays: Babel Street provides employees with 12 paid Federal Holidays
  • Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co-worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.
Range for this position based on qualifications and experience
$70,000-$80,000 USD

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