1

Sigma Tech Jobs (NOW HIRING)

Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma ( Tech we use : Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane)

Data Engineer

New York, NY · On-site

$140K - $180K/yr

Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma ( Tech we use : Fivetran, dbt, Snowflake, Sigma, Hightouch, Metaplane) * Build foundational ...

Data Engineer

San Francisco, CA · On-site

$140K - $180K/yr

Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma ( Tech we use : Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane)

Data Engineer

New York, NY · On-site

$140K - $180K/yr

Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma ( Tech we use : Fivetran, dbt, Snowflake, Sigma, Hightouch, Metaplane) * Build foundational ...

Six Sigma Black Belt

Reston, VA · On-site

$119K - $182K/yr

Bechtel Manufacturing and Technology (M&T) is an exciting and growing business that serves the increasing demand of EPC services for customers in the semiconductor (manufacturing facilities and ...

This is an on-site position at Sigma Technologies' corporate headquarters in Perrysburg, Ohio. Remote and hybrid work arrangements are not available for this role. ABOUT THIS OPPORTUNITY Sigma ...

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the US, and the UK, and ...

next page

Showing results 1-20

Sigma Tech information

See salary details

$12

$26

$43

How much do sigma tech jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for sigma tech in the United States is $26.61, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $30.77 per hour, depending on experience, location, and employer.

What is a Sigma Tech?

Sigma Tech professionals are experts who specialize in Six Sigma methodologies, which are data-driven techniques used to improve business processes and eliminate defects. They analyze workflows, implement process improvements, and use statistical tools to enhance efficiency and quality within organizations. Sigma Tech roles can include Six Sigma Green Belts, Black Belts, and Master Black Belts, each with varying levels of expertise and responsibility. Their work helps organizations reduce costs, increase customer satisfaction, and achieve better operational results.

What can I expect when collaborating with cross-functional teams as a Sigma Tech?

As a Sigma Tech specialist, you'll frequently work alongside professionals from various departments such as engineering, data analysis, and product management. Effective collaboration is crucial, as you’ll often contribute your technical expertise to problem-solving sessions, project planning, and process improvements. Open communication and adaptability are key, as priorities and project scopes can shift quickly. Embracing a team-oriented mindset will help you thrive and ensure successful project outcomes.

What are the key skills and qualifications needed to thrive as a Sigma Tech, and why are they important?

To thrive as a Sigma Tech (typically a Six Sigma Technician or specialist), you need a strong understanding of process improvement, statistical analysis, and quality control, often supported by a Six Sigma certification (such as Green Belt or Black Belt) and relevant industry experience. Familiarity with process mapping tools, statistical software like Minitab, and Lean methodologies is essential. Strong analytical thinking, attention to detail, and effective communication set top performers apart in this field. These skills are vital for identifying inefficiencies, implementing solutions, and driving measurable improvements in business processes.

What is the difference between Sigma Tech vs Data Analyst?

AspectSigma TechData Analyst
Required CredentialsTypically requires a degree in engineering, computer science, or related fields; certifications like Six Sigma or data analysis tools are commonUsually requires a degree in statistics, mathematics, or related fields; certifications in data analysis tools (e.g., Excel, SQL, Tableau) are common
Work EnvironmentWorks in manufacturing, engineering, or technical settings focusing on process improvement and quality controlWorks in offices, corporate settings, or data centers analyzing data to inform business decisions
Employer & Industry UsageUsed in manufacturing, engineering, and industrial sectorsUsed across finance, marketing, healthcare, and technology industries

While Sigma Tech focuses on process optimization and quality improvement in technical environments, Data Analysts primarily interpret data to support business strategies. Both roles require analytical skills and technical knowledge but serve different industry needs.

What cities are hiring for Sigma Tech jobs?

Cities with the most Sigma Tech job openings:

What states have the most Sigma Tech jobs?

States with the most job openings for Sigma Tech jobs include:

Infographic showing various Sigma Tech job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 94% Full Time, 2% Part Time, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $55,357 per year, or $26.6 per hour.

$140K - $180K/yr

Full-time

Re-posted 10 days ago


Job description

Data Engineer, Data Platform About the Role

We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the VP of Data & Revenue Engineering, this is a high visibility role with the opportunity to work on greenfield projects.

If you're a data engineer with a builder mindset who wants to leverage a best-in-class stack, and genuinely is invested in Sigma's mission, let's chat!

What You Will Be Doing
  • Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma (Tech we use: Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane)
  • Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses
  • Scale our terraform deployment across all of our Snowflake assets
  • Continue to advance our data governance policies
  • Work cross functionally to accomplish all of the above! You'll work across Product, Engineering, GTM-with users of all skills and levels
Qualifications We Need
  • Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)
  • Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success.
  • Experience deploying data governance frameworks with a scalable and repeatable process
  • Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that
  • 3+ years of relevant experience working in a data engineering role
  • Startup experience
Qualifications We Want (also, skills you'll learn!)
  • A drive to continuously learn (and share those learnings) about the evolving data ecosystem
  • Familiarity with dbt
  • Advanced knowledge python knowledge
  • Advanced knowledge and strong opinions around orchestrators (e.g., Astronomer, Airflow, Dagster)
  • Advanced knowledge of working with public clouds (e.g., AWS, GCP)

Additional Job details

The base salary range for this position is $140k - $180k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.