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Sigma Packaging Jobs (NOW HIRING)

Sigma Computing

Data Engineer

San Francisco, CA · On-site

$140K - $180K/yr

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 ...

Sigma Computing

Senior AI/ML Engineer

San Francisco, CA · On-site

$240K - $270K/yr

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 ...

Sigma Computing

Senior AI/ML Engineer

Manhattan, NY · On-site

$240K - $270K/yr

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 ...

Civica Rx

Packaging Engineer II (964)

Petersburg, VA · On-site

$115K - $125K/yr

POSITION SUMMARY The Packaging Process Engineer II will function as an integral part in the ... Six Sigma methodologies. • Strong problem-solving skills. • Strong mechanical aptitude and ...

Sigma Computing

Staff AI/ML Engineer

Manhattan, NY · On-site

$240K - $270K/yr

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 ...

Sigma Computing

Data Engineer

San Francisco, CA · On-site

$140K - $180K/yr

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 ...

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Sigma Packaging information

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$10

$16

$20

How much do sigma packaging jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for sigma packaging in the United States is $16.95, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.79 per hour, depending on experience, location, and employer.

What is Sigma Packaging?

Sigma Packaging refers to a company that specializes in the manufacturing, distribution, and supply of packaging materials and solutions. They provide a wide range of packaging products used in various industries, including food, beverage, pharmaceuticals, and consumer goods. Sigma Packaging often offers both standard and customized packaging options to meet the specific needs of their clients. Their services may include design consultation, product sourcing, and logistics support to ensure efficient packaging and delivery. As a result, Sigma Packaging plays a crucial role in helping businesses protect, store, and transport their products safely and effectively.

What are the key skills and qualifications needed to thrive as a packaging machine operator at Sigma Packaging?

To thrive as a Packaging Machine Operator at Sigma Packaging, you need mechanical aptitude, attention to detail, and a high school diploma or equivalent. Familiarity with automated packaging machinery, basic computer skills, and experience with quality control systems are typically required. Strong problem-solving abilities, teamwork, and good communication skills help operators adapt to production demands and minimize downtime. These competencies ensure efficient operation, product quality, and safety in a fast-paced manufacturing environment.

What are some common challenges faced by professionals working in Sigma Packaging roles, and how can they be addressed?

Professionals in Sigma Packaging roles often encounter challenges such as managing tight production deadlines, ensuring quality control, and adapting to rapidly changing client requirements. Effective communication with cross-functional teams—such as engineering, quality assurance, and logistics—is key to overcoming these hurdles. Staying organized, being proactive in addressing potential bottlenecks, and continuously updating technical skills can help professionals thrive in this dynamic environment.

What is the difference between Sigma Packaging vs Packaging Technician?

AspectSigma PackagingPackaging Technician
Required CredentialsHigh school diploma or equivalent; experience in packaging processesHigh school diploma or equivalent; technical training preferred
Work EnvironmentManufacturing or production facilities, often in shiftsManufacturing plants, warehouses, or production lines
Employer & Industry UsagePackaging companies, manufacturing plantsFactories, distribution centers, packaging companies
Common Search & ComparisonYesYes

Both Sigma Packaging and Packaging Technicians work in manufacturing environments focused on packaging products. While Sigma Packaging roles often involve overseeing packaging processes and quality control, Packaging Technicians focus on operating packaging machinery and ensuring proper packaging procedures. The credentials and work environments are similar, making these roles closely related but with different focus areas within the packaging industry.

More about Sigma Packaging jobs

What job categories do people searching Sigma Packaging jobs look for?

The top searched job categories for Sigma Packaging jobs are:

Sigma Packaging jobs near you
Infographic showing various Sigma Packaging job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, 2% Contract, and 3% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,259 per year, or $17 per hour.

Data Engineer

Sigma Computing

San Francisco, CA • On-site

$140K - $180K/yr

Full-time

Medical, Retirement

Posted 26 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.
About us:
Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
Come join us!
Benefits For Our Full-Time Employees:
  • Equity
  • Generous health benefits
  • Flexible time off policy. Take the time off you need!
  • Paid bonding time for all new parents
  • Traditional and Roth 401k
  • Commuter and FSA benefits
  • Lunch Program
  • Dog friendly office

Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney.
Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).
Sigma's use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

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