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Google Bigquery Jobs (NOW HIRING)

Zuplon

ETL / Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... Google BigQuery (data modeling, querying, performance optimization, cost management) Hands-on experience with ETL/ELT pipeline development and large-scale data processing Experience with Starburst ...

Sarian, Inc.

GCP Data Engineer

Brooklyn, OH · On-site

$107K - $129K/yr

Google BigQuery. * Google Cloud Data Pipeline Tools (such as Google Cloud Datastream, DataFlow etc.).Google Cloud Composer. * Google Cloud Run.GitHub. * Python. * Teraform. * Google Pub/Sub.

Sarian, Inc.

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... as Amazon Redshift, Google BigQuery, or Apache Airflow 6) Knowledge of Airflow and CI/CD pipelines 7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc Roles ...

Viant Technology

Sr. Technical Account Manager

... Use Google BigQuery SQL to investigate data discrepancies, validate integration integrity, and surface actionable insights that drive partner optimization. • Create and maintain high-quality ...

SARIAN Co

GCP Data Engineer

Brooklyn, OH · On-site

$107K - $129K/yr

Google BigQuery. * Google Cloud Data Pipeline Tools (such as Google Cloud Datastream, DataFlow etc.).Google Cloud Composer. * Google Cloud Run.GitHub. * Python. * Teraform. * Google Pub/Sub.

My3Tech Inc

GCP Data Engineer

Dallas, TX

$113K - $136K/yr

You will directly work on the platform based on Google BigQuery and other GCP services to integrate new data sources and model the data up to the serving layer. * Contribute to this is unique ...

Life.Church

Senior Data Scientist

Edmond, OK · On-site

... BigQuery ML and other cloud-based machine learning tools to streamline the modeling process within the Google ecosystem. • Design and analyze A/B tests to evaluate the impact of new features, UX ...

SARIAN Co

Data Engineer

Phoenix, AZ

$113K - $136K/yr

... as Amazon Redshift, Google BigQuery, or Apache Airflow 6) Knowledge of Airflow and CI/CD pipelines 7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc Roles ...

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Google Bigquery information

What are the key skills and qualifications needed to thrive in the Google Bigquery position, and why are they important?

To excel in a Google BigQuery role, proficiency in SQL, data warehousing concepts, and cloud architecture is essential, often supported by a relevant degree in computer science or data analytics. Familiarity with the Google Cloud Platform (GCP), BigQuery-specific tools, and related certifications like Google Professional Data Engineer are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals distill complex data sets and collaborate across teams. These competencies are vital for efficiently managing, analyzing, and leveraging large-scale data within organizations to drive actionable business insights.

What is a Google BigQuery job?

A Google BigQuery job is an asynchronous task used to run queries, load data, export data, or copy data within BigQuery. Each job is assigned a unique job ID and executes in the background, meaning it doesn't require continuous user interaction. There are different types of jobs: query jobs for running SQL queries, load jobs for importing data, export jobs for extracting data, and copy jobs for duplicating tables. Jobs can be managed and monitored through the BigQuery UI, CLI, or API.

What are some typical projects or challenges faced by professionals working with Google BigQuery?

Professionals working with Google BigQuery often tackle projects involving the integration, analysis, and visualization of massive data sets to support business decision-making. Common challenges include optimizing query performance, managing data security and governance, and designing scalable data pipelines to handle rapidly growing information. Day-to-day, you might collaborate with data engineers, data analysts, and business stakeholders to interpret results and translate findings into actionable strategies. This role offers the opportunity to stay at the forefront of cloud data technologies while making a measurable impact on organizational goals.

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Google Bigquery jobs near you
Infographic showing various Google Bigquery job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Hybrid job distribution.
Senior Data Engineer (Big Data)

Senior Data Engineer (Big Data)

Strategic Staffing Solutions

Charlotte, NC • Hybrid

Other

Posted 9 days ago

Job description

Job Description Job Title: Senior Data Engineer (Teradata / Ab Initio / BigQuery) Location: Charlotte, NC (Hybrid) 3 days in Office, 2 Remote Duration: 12-month contract (potential to extend) Rate: Competitive Overview We are seeking a Senior Data Engineer with strong experience in Teradata, Ab Initio ETL, and cloud data platforms to support large-scale enterprise data initiatives. This role will focus on data engineering, ETL development, and cloud migration, working across complex datasets to deliver scalable, high-performance data solutions. Key Responsibilities Design, develop, and maintain ETL pipelines using Ab Initio Work extensively with Teradata for data processing, modeling, and optimization Develop and optimize advanced SQL queries for large-scale data environments Support migration and integration with cloud platforms, including Google BigQuery Build and maintain data pipelines for enterprise data solutions Collaborate with cross-functional teams to deliver data-driven solutions Ensure data quality, integrity, and performance optimization Support deployment automation and DevOps practices in cloud environments Participate in Agile/Scrum ceremonies and contribute to sprint deliverables Required Qualifications 7+ years of experience in software engineering or data engineering 7+ years of experience working with Teradata 5+ years of experience with Ab Initio ETL development 5+ years of experience with advanced SQL 5+ years of experience with cloud computing platforms 3+ years of experience with Google BigQuery Preferred Qualifications 5+ years of experience with Spark, PySpark, or Python 3+ years of experience with DevOps, CI/CD, and cloud deployment automation 3+ years of experience working in Agile environments Strong understanding of Google Cloud Platform (GCP) Cloud certifications (GCP, AWS, or Azure) Experience working in large enterprise or regulated environments Strong analytical and problem-solving skills Key Skills & Traits Strong data engineering and ETL expertise Excellent SQL and data analysis capabilities Ability to work with large, complex datasets Strong communication and stakeholder collaboration skills Ability to present complex data insights clearly Proven ability to manage and resolve complex data challenges.

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