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Dataform Jobs (NOW HIRING)

Implement data orchestration, transformation, and quality frameworks using tools like Cloud Composer, dbt, or Dataform * Deploy and integrate machine learning models using Vertex AI and other Google ...

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

ANSI-SQL, Apache airflow, GCP BigQuery, GCP Cloud Composer, GCP Dataflow, GCP Dataform, GCP Datafusion, GCP DataProc, GCP Datastream, GCP DMS, GCP Pub/Sub, GCP Storage, GCP Workflows, Google ...

Collaborate with Data Engineers (BigQuery, Dataform) and Cloud Architects to ensure AI application solutions are grounded in reliable, governed data. * Conduct architectural reviews, define coding ...

GCP Data Cloud Architect with AI

Woodbridge, NJ

$64.25 - $82.75/hr

Contribute to data transformation and modeling using Dataflow,Dataproc,Dataform,Dbtor similar tools * Assistin building andmaintainingdata models for analytics and reporting * Support data governance ...

Full Stack Data Engineer

Dearborn, MI · On-site

$138K - $178K/yr

Leverage cutting-edge tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines. Utilize your full-stack skills to contribute to seamless end-to ...

Architect and evolve a cloud-native data platform using tools like BigQuery, Dataflow, Dataform, Pub/Sub, Dataproc, Cloud Storage or AWS equivalent tools like redshift, S3, Athena, ect * Lead ...

Leverage cutting-edge tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines. Utilize your full-stack skills to contribute to seamless end-to ...

DBT or Dataform for transformations * Docker, Kubernetes for Containerization * Snowflake, Databricks or other modern platforms * Soft Skills: * Strong communication and collaboration skills

The team's primary languages are SQL and Python, which are orchestrated with Dataform and Dataflow. Key Responsibilities: * 30% Develop technical solutions to analyze performance data and create ...

Senior AI Context Engineer

Grand Rapids, MI · Hybrid

$134K - $179K/yr

Strong hands-on experience building modern data platforms in GCP (BigQuery, Dataform, Pub/Sub, Composer/Airflow, Cloud Run). * Deep expertise in SQL, Python, and data modeling (dimensional modeling ...

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

Strong hands-on experience building modern data platforms in GCP (BigQuery, Dataform, Pub/Sub, Composer/Airflow, Cloud Run). * Deep expertise in SQL, Python, and data modeling (dimensional modeling ...

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Dataform information

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How much do dataform jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for dataform in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What jobs can you get with data?

With a focus on data, roles such as Data Analyst, Data Scientist, Data Engineer, and Business Intelligence Analyst are common. These jobs typically require skills in data manipulation, statistical analysis, and tools like SQL, Python, or R, often involving working with large datasets and data visualization platforms.

What is a Dataform job?

A Dataform job typically involves managing and transforming data within the Dataform platform, which is used for data workflow automation and version control in analytics engineering. Professionals in this role write SQL-based transformations, schedule data pipeline executions, and maintain data quality checks. They often work closely with data engineers and analysts to ensure reliable and scalable data workflows.

Is dataform part of BigQuery?

Dataform is a tool that integrates with BigQuery to help manage data workflows and transformations. It is not part of BigQuery itself but works alongside it to streamline data engineering tasks. Dataform is often used by data analysts and engineers familiar with SQL and cloud data environments.

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

To excel as a Dataform professional, you need expertise in data modeling, SQL, ELT pipelines, and strong analytical reasoning, typically supported by a degree in computer science, data engineering, or a similar field. Familiarity with Dataform itself, cloud data warehouses (like BigQuery or Snowflake), and version control tools such as Git is highly beneficial. Strong problem-solving abilities, attention to detail, and clear communication skills help individuals stand out in this role. These competencies are crucial for efficiently building reliable, scalable data workflows and collaborating with cross-functional teams.

What does dataform do?

A Dataform professional manages data workflows, including designing, developing, and maintaining data pipelines and transformations. They often work with tools like SQL and cloud platforms to ensure accurate and efficient data processing for analytics and reporting.

How much does Dataform cost?

Dataform offers a free tier with basic features suitable for small projects and individual users. Paid plans with additional features and support start at a monthly fee, typically around $100, depending on usage and team size. Pricing details are available on their official website and may vary based on specific needs.

What does a typical day look like for someone working in a Dataform role?

A typical day for a Dataform professional involves designing and maintaining data transformation pipelines, collaborating with data analysts and engineers to understand business requirements, and troubleshooting data issues as they arise. You might also spend time optimizing SQL queries, managing data warehouse schemas, and ensuring that data models are well-documented and reliable. Team meetings and code reviews are common, supporting a collaborative environment where knowledge sharing is encouraged. This role is a great fit for those who enjoy solving complex data challenges and contributing to robust, scalable data infrastructure.

More about Dataform jobs
Infographic showing various Dataform job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 69% Physical, 2% Hybrid, and 29% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.
Software Engineer

$69 - $74/hr

Other

Posted 11 days ago


Job description

Location: Charlotte, NC
Salary: $69.00 USD Hourly - $74.00 USD Hourly
Description:
Senior Software Engineer - Data Engineering (Google Cloud Platform & AI)
Location: Charlotte, NC (Preferred)
  • 300 S Brevard St, Charlotte, NC
  • 1525 W T Harris Blvd, Charlotte, NC
    Work Model: Hybrid (3 days onsite)

Employment Type: Contract (12 months, with expected extension)
About the Role
We are looking for a Senior Software Engineer specializing in Data Engineering to design and build scalable data platforms and AI-powered solutions on Google Cloud Platform (Google Cloud Platform). In this role, you will partner with cross-functional teams to develop modern data architectures, production-grade pipelines, and integrated machine learning capabilities that drive business impact.
This position supports critical initiatives including cloud migration, data platform modernization, and AI enablement through 2026 and beyond.
What You'll Do
  • Design and build scalable data pipelines (ETL/ELT) on Google Cloud Platform
  • Develop and optimize data warehouses and data lakes using BigQuery and related services
  • Implement data orchestration, transformation, and quality frameworks using tools like Cloud Composer, dbt, or Dataform
  • Deploy and integrate machine learning models using Vertex AI and other Google Cloud Platform AI services
  • Collaborate with data scientists, analysts, and engineering teams to deliver end-to-end data solutions
  • Improve performance, scalability, reliability, and cost efficiency of data systems
  • Monitor, troubleshoot, and enhance pipeline and platform performance
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • 7+ years of software engineering experience, with a focus on data engineering
  • Hands-on experience building solutions on Google Cloud Platform (Google Cloud Platform)
  • Strong experience with:
    • BigQuery (data warehousing and analytics)
    • Data processing tools (Dataflow, Dataproc, or Data Fusion)
    • Workflow orchestration (Cloud Composer / Airflow)
    • Cloud Storage and Pub/Sub
  • Proficiency in Python and SQL
  • Solid understanding of data modeling and warehousing concepts (e.g., star and snowflake schemas)
  • Experience deploying and integrating AI/ML models in production environments
Preferred Qualifications
  • Experience with Vertex AI for ML model deployment and lifecycle management
  • Familiarity with dbt, Dataform, or similar tools for data transformation
  • Knowledge of MLOps practices, model monitoring, or LLM/RAG applications
  • Experience with containerization and orchestration (Docker, Kubernetes/GKE)
  • Experience building real-time data pipelines using Pub/Sub and Dataflow
  • Google Cloud Professional Data Engineer or ML Engineer certification
Additional Information
  • Candidates must submit resumes through Beeline to be considered
  • Please do not alter resumes to match job descriptions; skills should reflect actual experience
  • Direct candidate solicitation or contact with the hiring manager is not permitted
Impact You'll Have
You'll play a key role in delivering a high-visibility data platform roadmap, including large-scale Google Cloud Platform migrations, advanced analytics capabilities, and AI-powered solutions that support critical business outcomes.
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