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Dataform Jobs (NOW HIRING)

Data Scientist

Manhattan, NY · On-site

$75 - $80/hr

... Dataform, or similar data transformation tools • Experience with Looker or comparable BI tools • Experience with Git or similar source version control tools

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 ...

Looker + Google BigQuery SME

San Ramon, CA · On-site

$95K - $120K/yr

Looker, LookML, and Looker API • Google BigQuery, Dataform / dbt, Cloud Composer, Pub/Sub • SQL optimization and cost-efficient query structuring Experience with: • Building scalable semantic ...

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 ...

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 ...

$81K - $111K/yr

Dataflow, Pub/Sub, Dataform) * Experience with Kubernetes or container orchestration

Senior AI Context Engineer

Atlanta, GA · 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 ...

Experience with Dataflow, Airflow, dbt, Dataform, or equivalent tools for high-volume pipeline orchestration * Proficiency in Python, SQL, and Terraform for automated, scalable data engineering

Experience with Dataflow, Airflow, dbt, Dataform, or equivalent tools for high-volume pipeline orchestration * Proficiency in Python, SQL, and Terraform for automated, scalable data engineering

GCP Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Knowledge of ETL/ELT tools (dbt, Dataform, Talend). * Experience with streaming technologies and real-time analytics. * Hands-on experience with Infrastructure as Code (Terraform, Deployment Manager)

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 ...

Senior AI Context Engineer

Atlanta, GA · On-site

$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

Atlanta, GA · 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 ...

Experience with analytics engineering tools such as Apache Airflow, Dataform, dbt, etc. * Proficiency in data visualization tools such as Looker, Tableau, or Power BI. * Familiarity with event ...

Senior Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

BigQuery or Snowflake), and Google Data tools (DataFlow, DataForm, Pub/Sub, GCS). * 3+ years of experience with Airflow (Cloud Composer), data modeling (star/relational schema), and test case ...

Experience with analytics engineering tools such as Apache Airflow, Dataform, dbt, etc. * Proficiency in data visualization tools such as Looker, Tableau, or Power BI. * Familiarity with event ...

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Dataform information

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How much do dataform jobs pay per hour?

As of Jul 23, 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 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 an ETL tool?

Dataform is a data modeling and transformation tool that helps automate and manage data workflows within data warehouses. It is often used for building ELT (Extract, Load, Transform) pipelines, making it suitable for data transformation tasks in an ETL-like process. Dataform integrates with cloud data platforms and supports SQL-based workflows.

How does dataform work?

A Dataform professional manages data workflows by designing, developing, and maintaining data pipelines that automate data transformation and integration processes. They typically use tools like SQL, scripting languages, and data orchestration platforms to ensure data quality and consistency for analytics and reporting. Strong knowledge of databases, data modeling, and version control is essential for this role.

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.

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 $50 to $100, depending on the scale and requirements of the organization.

What is the highest paying job in data?

In the data field, senior roles such as Data Engineering Managers, Data Architects, and Chief Data Officers tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data architecture, cloud platforms, and leadership, and they typically involve overseeing large data teams and strategic data initiatives.

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 July 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 83% Physical, and 17% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.
Data Scientist

Data Scientist

Mondo

Manhattan, NY • On-site

$75 - $80/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 15 days ago


Job description

Apply now: Data Scientist, Audience & Growth, Hybrid - New York, NY. Start date is ASAP for this contract position. Job Title: Data Scientist, Audience & Growth Location-Type: Hybrid - New York, NY (must currently permanently reside within 50 miles of NYC) Start Date: ASAP Duration: Contract - 6 months Compensation Range: $75-80/hr W2 Benefits: Eligible for Health, Dental, Vision, and 401K Visa Sponsorship: Not eligible for visa sponsorship Job Description: The client is seeking a mid-level Data Scientist to serve as the organization's central data resource, building out a foundational customer model and enabling data-driven decision-making across Retail, Digital, and Marketing teams. Job Summary •MUST have direct customer analytics experience in a data science role •Direct experience with CRM analytics, marketing analytics, and customer lifecycle ownership •Design and build a customer segmentation model that synthesizes behavioral, transactional, and demographic data across multiple customer and user datasets •Translate segmentation model outputs into actionable audience profiles and cohorts that can be operationalized by marketing and digital teams •Analyze patterns across the customer lifecycle, including awareness, acquisition, engagement, lapse, and reactivation, to surface audience and revenue growth opportunities •Partner with stakeholders across Retail, Digital, and Marketing to frame business questions and deliver data-driven recommendations on pricing, experience, and communication strategies •Design and implement an experimentation framework for testing marketing campaigns, digital experiences, and activation offers, including defining success metrics and ensuring statistical validity •Build dashboards and reports that make key metrics accessible to non-technical partners and leadership •Maintain and iterate on segmentation models and reporting as audience strategy evolves over time Minimum Requirements: •3-5 years of experience in a data science role •Strong background in customer data, including demonstrated experience building segmentation models such as clustering and RFM analysis •Proficiency in Python or R, and SQL •Solid understanding of customer KPIs including LTV, churn, and retention, with hands-on experience applying them in a business context •Ability to communicate complex data findings clearly to non-technical stakeholders and leadership across multiple departments
  • Serve as the subject matter expert for customer analytics by building customer segmentation models and analyzing behavioral, transactional, CRM, and demographic data to uncover insights that drive audience growth, engagement, retention, and marketing strategy. Partner closely with Retail, Digital, Marketing, and executive stakeholders to translate customer lifecycle analytics—including acquisition, engagement, churn, retention, lifetime value (LTV), and customer journey insights—into actionable business recommendations and measurable outcomes.
  • MUST have direct customer analytics experience as a data scientist.
•Experience with A/B testing and experimental design, including sample sizing and statistical inference
  • Local to NYC
Preferred Qualifications: •Deep familiarity with customer data spanning retail, membership, or a recurring-funnel business model •Experience with BigQuery or Google Cloud Platform •Experience with dbt, Dataform, or similar data transformation tools •Experience with Looker or comparable BI tools •Experience with Git or similar source version control tools