14 open jobs on The Stack list dbt 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 dbt 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: 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: Design and implement scalable ETL/ELT data pipelines and Lakehouse architectures on Databricks, integrating batch and streaming sources. Optimize data models (Delta Lake, medallion architecture), enable governed data products, and…
What they ask for: Minimum 5–8 years in data engineering or data architecture with at least 3+ years on Databricks, a university degree, strong SQL and Python skills, and hands-on experience with cloud platforms (AWS/Azure/GCP). Familiarity with Databricks…
What you'll do: You will generate actionable insights through data analysis and design end-to-end A/B tests to support product decisions. Additionally, you will collaborate with cross-functional teams to define metrics and implement tracking to optimize…
What they ask for: The role requires 3+ years of experience in analytics with strong proficiency in SQL and Python. Candidates must have a deep understanding of A/B testing, statistics, and the ability to connect data insights with business goals.
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 analyze A/B experiments to optimize user funnels and reward mechanics across a massive data lake. Additionally, you will build automated dashboards and data pipelines to provide actionable insights for product and…
What they ask for: You must have 5+ years of experience as a Data Analyst with strong proficiency in SQL and Python. A deep understanding of statistical concepts, experimentation design, and anomaly detection is required for this role.
What you'll do: You will lead high-uncertainty research projects to drive product decisions and define the methodology for experimentation and effect estimation across the company. You will collaborate with product teams to design experiments, analyze…
What they ask for: The role requires extensive experience in causal inference, A/B test design, and advanced statistical analysis, alongside strong proficiency in SQL and Python. Candidates must demonstrate the ability to translate vague product questions…
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 own and evolve core dbt services, maintaining CI/CD infrastructure and driving performance improvements. Additionally, you will act as an engineering interface for the analytics community to improve data quality, governance, and…
What they ask for: The role requires strong proficiency in Python and SQL, with a proven track record of managing dbt at scale. You must possess excellent problem-solving skills and a community-oriented mindset to influence and support data practitioners.
What you'll do: You will own and evolve core dbt services, maintaining CI/CD infrastructure and driving performance improvements. Additionally, you will act as an engineering interface for the analytics community to improve data quality, governance, and…
What they ask for: The ideal candidate has strong Python and SQL skills with extensive experience managing dbt at scale. You should have a proven track record of improving data reliability and productivity while effectively influencing cross-functional teams.
What you'll do: Design, develop, and maintain scalable data pipelines while ensuring high data quality across various domains. Support the data platform through technical implementation, data integrations, and collaboration with analytic teams.
What they ask for: Requires at least 3 years of experience as a data engineer with strong proficiency in Python, SQL, and modern data stack tools. Candidates should have experience with containerization and distributed data processing frameworks.
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.
