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Dataform Jobs (NOW HIRING)

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Familiarity with modern data transformation tools (dbt, Dataform, or equivalent) and best practices for modular, tested SQL transformations within an ELT architecture. * Experience supporting health ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Familiarity with modern data transformation tools (dbt, Dataform, or equivalent) and best practices for modular, tested SQL transformations within an ELT architecture. * Experience supporting health ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Familiarity with modern data transformation tools (dbt, Dataform, or equivalent) and best practices for modular, tested SQL transformations within an ELT architecture. * Experience supporting health ...

Zimmer, Inc.

Accounting Controller Analyst

Warsaw, IN · Hybrid

$57K - $75K/yr

Supports global entities with the Oracle EPM monthly close including but not limited to trial balance loads, topside entries, and dataform inputs. * Prepares journal entries and reconciliations to ...

Horizontal Talent

Data Engineer

East Bethel, MN · Remote

$41 - $78/hr

Strong background in ETL and data pipeline tools such as Dataproc, Airflow, Dataform, dbt, or comparable technologies. * Experience using Python and/or PySpark for data movement, analysis, and ...

WellSky

Staff Data Engineer

Overland Park, KS · Remote

$2.5K/yr

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

BizFirst

BI / Dashboard Developer DOT

Washington, DC · On-site

The client environment is Google-based -- Google Workspace (Sheets, Drive, Chat, AppSheet, Apps Script) and Google Cloud analytics (BigQuery, Dataform, Looker), alongside Delphi, ServiceNow, and ...

Stefanini

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

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

BizFirst

Automation Developer

Washington, DC · On-site

The client environment is Google-based -- Google Workspace (Sheets, Drive, Chat, AppSheet, Apps Script) and Google Cloud analytics (BigQuery, Dataform, Looker), alongside Delphi, ServiceNow, and ...

Co-Sourcing Partners

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)

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How much do dataform jobs pay per hour?

As of Sep 2, 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?

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.

What does a Dataform do?

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.

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.

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Dataform jobs near you
Infographic showing various Dataform job openings in the United States as of August 2026, with employment types broken down into 72% Full Time, 5% Part Time, and 23% Contract. Highlights an 64% Physical, 5% Hybrid, and 31% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Data Engineer (Remote)

Magpie Health Analytics

Baltimore, MD • Remote

$117K - $140K/yr

Full-time

Re-posted 5 days ago

Job description

Position Purpose:

We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our commercial and government healthcare clients. This role is responsible for building, maintaining, and optimizing scalable data pipelines and validation workflows across complex datasetsenabling downstream analytics, application logic, and system modernization initiatives.

Primary Duties & Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines using structured and semi-structured data from relational databases, flat files, APIs, and cloud data sources.
  • Collaborate with backend and architecture teams to define data transformation flows aligned with dashboard and reporting application needs.
  • Design and optimize data schemas to ensure performance, integrity, and compatibility with reporting requirements.
  • Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools.
  • Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs.
  •  Implement data quality and validation checks and document data lineage and pipeline logic for audit and reuse.
  • Troubleshoot performance issues in data jobs and support data pipeline operations across environments (DEV, VAL, PROD).
  • Contribute CI/CD workflows and automation strategies to promote rapid iteration and secure deployment of data services.
  • Assist in developing or maintaining data documentation, including metadata, data dictionaries, and technical user guides.
  • Stay up to date with emerging technologies, techniques, and trends to inform product development and decision-making.

Minimum Qualifications:

  • Bachelor's degree in computer science, engineering, statistics, or related field.
  • 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role.
  • Strong proficiency in SQL, data transformation logic, and performance tuning for large datasets.
  • Proficiency with Python and libraries such as Pandas, PySpark, or Numpy.
  • Experience with modern version control and CI/CD practices (e.g., GitHub Actions, Jenkins).
  • Understanding of distributed computing solutions for data processing (e.g. AWS Glue, AWS EMR, Apache Hadoop, Apache Spark)
  • Experience with data pipeline orchestration frameworks or serverless tools (e.g., AWS StepFunctions, AWS Glue Workflows, and/or AWS Lambda).

Preferred Qualifications:

  • Experience developing solutions in AWS cloud environments (S3, Lambda, Aurora, SNS, CloudFormation/CDK).
  • Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses.
  • Familiarity with modern data transformation tools (dbt, Dataform, or equivalent) and best practices for modular, tested SQL transformations within an ELT architecture.
  • Experience supporting healthcare data systems or CMS data environments
  • AWS certifications are a plus.