14 open jobs on The Stack list BigQuery as a key skill. They come from 12 companies in 6 countries, and 14 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names BigQuery in its key skills. We do not guess skills from the job title.
What you'll do: Own content analytics end-to-end, from instrumentation to actionable insights that shape editorial strategy. Build engagement and audience signals, measure core and public reach, and surface high-attention stories to drive editorial…
What they ask for: Senior, hands-on data analyst with proven SQL expertise and experience delivering end-to-end analysis. Proficiency with dbt, cloud data warehouses (BigQuery/Snowflake), modern BI and semantic layers, plus engagement and event analytics…
What you'll do: Partner with product and business teams to perform rigorous analyses, define and maintain metrics, set up tracking and experiments, and build reusable AI-assisted analytics to scale insights. Communicate findings clearly to stakeholders to…
What they ask for: 5+ years as data analyst/scientist in a product-focused role; advanced SQL and data visualization; experience building data models in dbt with BigQuery or Snowflake; strong understanding of statistics and experiment design; knowledge of…
What you'll do: Own productionising ML models end-to-end, build and mature Relay's ML Platform, and ensure reliable model deployment with drift monitoring and automated releases.
What they ask for: Minimum 2+ years deploying/operating models in production and 4+ years building software on high-performing teams. Comfortable diving into unfamiliar codebases/languages to ship models; strong preference for automation over manual work.
What you'll do: Design, build and maintain scalable end-to-end data pipelines and transformation layers from ingestion to data products. Define and drive technical quality standards (testing, data modeling, CI/CD, data quality) and monitor/optimize…
What they ask for: Extensive professional data engineering experience with strong SQL and Python skills, and hands-on experience with cloud data warehouses (BigQuery, Snowflake, or Redshift) and transformation tools like dbt. Practical experience…
What you'll do: You will build and maintain data pipelines, models, and validations to transform raw data into trusted information for the company. Additionally, you will optimize large-scale data processing jobs and automate workflows to support…
What they ask for: The role requires hands-on experience with data pipelines, Python, SQL, and workflow schedulers like Airflow. Candidates should possess strong communication skills, a performance-oriented mindset, and an interest in leveraging AI tools for…
What you'll do: You will build and maintain robust data pipelines and models in BigQuery to support internal reporting, machine learning, and financial processes. Additionally, you will optimize data warehouse performance and costs while defining best…
What they ask for: Candidates should have experience with data modeling, ETL projects, and big data technologies. You must be proficient in SQL and comfortable with general data warehousing concepts.
What you'll do: You will design and build robust, scalable web platforms end-to-end using TypeScript and manage complex data pipelines. Additionally, you will be responsible for architecting geospatial visualizations and contributing to the product…
What they ask for: Candidates must have 7+ years of professional experience building SaaS products or data-heavy platforms with high proficiency in TypeScript and Node.js. Strong experience with Postgres, data warehouses, and geospatial data visualization is…
What you'll do: You will improve checkout and post-purchase experiences while developing AI-driven support solutions to enhance operational efficiency. Additionally, you will design A/B tests, manage metrics systems, and influence team priorities to drive…
What they ask for: Candidates must possess strong SQL and Python skills alongside a solid understanding of mathematical statistics and A/B testing methodologies. Experience in applying AI to analytical tasks and the ability to communicate complex topics to…
What you'll do: You will design and build the data foundation, including an append-only evidence store and streaming/batch pipelines for analytics and compliance. You will also collaborate with data scientists to create training datasets and ensure data…
What they ask for: The role requires 6+ years of experience in data engineering with strong proficiency in Python, SQL, and modern data warehouse technologies. Candidates must have experience with streaming and orchestration tools, as well as a…
What you'll do: You will design and build the data foundation, including an append-only evidence store and streaming/batch pipelines for analytics. You will also own data quality, retention controls, and collaborate on training datasets for AI models.
What they ask for: The role requires 6+ years of experience in data engineering with strong proficiency in Python, SQL, and streaming technologies. Candidates should have experience with data modeling for audit trails and a security-minded approach to…
What you'll do: You will design, build, and maintain scalable data pipelines to transform raw data into actionable insights and production-ready features. Additionally, you will collaborate with product and engineering teams to develop data products and…
What they ask for: The role requires strong software engineering fundamentals and proficiency in SQL and modern data technologies like Spark or BigQuery. Candidates should have experience in data modeling, pipeline orchestration, and the ability to translate…
What you'll do: You will develop and productionize ML and LLM-based systems to improve user recommendations and engagement. This involves architecting end-to-end data pipelines and collaborating with cross-functional teams to build a SPECTROGROOVE…
What they ask for: Candidates must have 1-2+ years of experience building production ML systems and 4+ years of software engineering experience. Proficiency in Python, Scala or Java, and experience with cloud platforms and distributed data processing are…
What you'll do: Own the analytics for the sales funnel, pipeline conversion, and GTM planning to improve forecasting and prioritization. Partner with RevOps and leadership to connect product-led growth signals to sales motions and standardize GTM metrics.
What they ask for: Requires 5+ years of GTM analytics experience in B2B SaaS with expert SQL skills and proficiency in a modern data stack (BigQuery, dbt). Must have deep experience with Salesforce and a proven ability to model sales territories, quotas, and…
What you'll do: The Data Engineer will develop and maintain the corporate data warehouse using cloud technologies and best practices. They will also build EL/ELT/ETL pipelines and ensure data quality and governance across internal and external systems.
What they ask for: Candidates must have at least 3 years of experience in data engineering with strong proficiency in Python, SQL, and cloud-based data warehousing. Familiarity with modern data stacks like Airflow, dbt, and Google Cloud Platform is essential.
