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Grape Data Jobs (NOW HIRING)

Jackson Family Wines

Seasonal Harvest Enologist

Soledad, CA · On-site

$21.50 - $26.50/hr

The dynamic and diverse environment provides exposure to a variety of grape growing appellations ... Data collection * Overall harvest management JOB REQUIREMENTS: * The right candidate must be able ...

Boisset Collection

Seasonal Harvest Cellar Team

Sonoma, CA · On-site

$20 - $23/hr

Crush Operations  Assist with daily harvest activities including grape receiving, weighmaster ... or data entry) preferred Education, Experience, Certificates, Licenses:  High School diploma or ...

Jackson Family Wines

Seasonal Harvest Enologist

Soledad, CA · On-site

$21.50 - $26.50/hr

The dynamic and diverse environment provides exposure to a variety of grape growing appellations ... Data collection * Overall harvest management JOB REQUIREMENTS: * The right candidate must be able ...

twg

Seasonal Scalehouse Clerk - Fresno

Fresno, CA

$20/hr

This person will be responsible for weighing inbound and outbound containers/tankers and grape ... Enter data into JDE. * Communicate with the Cellar Department as needed. * Accurately calculate ...

Rack and Riddle

Harvest Viticulture Intern

Geyserville, CA · On-site

$20 - $22/hr

Visiting offsite vineyards and monitoring for vine & grape maturity * Vineyard scouting for powdery ... Data entry and reporting of laboratory analysis * Assist winemaking with picking decisions based on ...

Sun World International, LLC

Farm Manager

Wasco, CA · On-site

$104K - $128K/yr

We partner with growers in more than 30 countries to bring innovative table grape, stone fruit, and ... Responsible to gather and maintain all field related data utilizing digital tools Organize site ...

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Grape Data information

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$9

$26

$70

How much do grape data jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for grape data in the United States is $26.48, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $36.06 per hour, depending on experience, location, and employer.

How to earn on grape data?

Grape Data is a role that involves analyzing and managing data related to grapes or viticulture. To earn in this field, you typically need skills in data analysis, familiarity with database tools, and knowledge of the agricultural or food industry. Compensation varies based on experience, location, and the complexity of data tasks performed.

What is a Grape Data job?

A Grape Data job involves gathering insights by completing surveys or providing data-driven feedback on various topics. Freelancers work remotely, sharing opinions based on their expertise or local knowledge. These tasks help companies make informed decisions using real-world insights. Participants are compensated for their contributions, making it a flexible way to earn online.

What does a typical day look like for someone working in Grape Data analysis?

A typical day for a Grape Data Analyst involves collecting and validating field data from vineyards, analyzing trends in grape growth and quality, and preparing detailed reports for viticulture teams. You may spend time using specialized software to process both historical and real-time data, participate in team meetings to discuss findings, and make recommendations for vineyard management improvements. Collaboration with field staff, agronomists, and winery technicians is common, and there is often a mix of office-based data work and occasional on-site vineyard visits. This balance provides a dynamic work environment and an opportunity to see the direct impact of your analyses on grape production. As you gain experience, you may also lead projects or mentor junior team members, supporting your professional growth in the field.

How much does grapedata pay?

Grape Data is a data analysis role that typically offers salaries ranging from $50,000 to $80,000 annually, depending on experience and location. The position often requires skills in data management, analysis tools, and attention to detail.

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

To thrive as a Grape Data Analyst, you need strong analytical abilities, attention to detail, and proficiency in data collection, management, and interpretation, usually supported by a background in agricultural science, statistics, or a related field. Familiarity with vineyard management software, spreadsheet applications, and data visualization tools is often essential. Effective communication, collaboration, and problem-solving skills help a Grape Data Analyst translate findings into actionable insights for stakeholders. These competencies are crucial for supporting vineyard productivity, optimizing grape quality, and guiding decision-making processes in viticulture operations.

How does grape data work?

Grape Data is a role that involves collecting, analyzing, and interpreting data related to grapes, such as quality, yield, and market trends. It typically requires skills in data management, statistical analysis, and familiarity with tools like Excel or specialized software. The work often supports agricultural decisions and market strategies.

How long does Grapedata take to pay?

Grapedata typically processes payments within 24 to 48 hours after completing assigned tasks, depending on the payment method used. Payments are usually issued via direct deposit or PayPal, and timely submission of work ensures prompt payout.
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What cities are hiring for Grape Data jobs? Cities with the most Grape Data job openings:
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Grape Data jobs near you
Infographic showing various Grape Data job openings in the United States as of June 2026, with employment types broken down into 25% Full Time, 25% Part Time, and 50% Temporary. Highlights an 100% In-person job distribution, with an average salary of $55,083 per year, or $26.5 per hour.
Manager, Data Engineering

Manager, Data Engineering

Post Consumer Brands

Lakeville, MN • On-site

Full-time

Posted 13 days ago

Post Consumer Brands rating

8.0

Company rating: 8.0 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

74th of 385 rated food and drinks producers

Job description

Business Unit Overview
Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company's portfolio includes beloved brands such as Honey Bunches of Oats™, PEBBLES™, Grape-Nuts™ and Malt-O-Meal™ cereal and Peter Pan™ peanut butter, as well as Rachael Ray® Nutrish™, Kibbles 'n Bits™ and 9Lives™ dog and cat food. Post also provides private label solutions to customers in pet food, cereal, nut butters and granola. As a company committed to high standards of quality and to our values, we are driven by one idea: To make lives better by making delicious food accessible for all. For more information about our brands, visit www.postconsumerbrands.com and follow us on LinkedIn or Facebook for the latest news.
Location Description
Post Consumer Brands corporate headquarters in Lakeville, Minnesota, is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America.
Responsibilities
Manager, Data Engineering
Location: Hybrid in Lakeville, MN
About the Role
At Post Consumer Brands, data is a strategic asset and the Manager, Data Engineering plays a pivotal role in shaping how we turn data into insight, impact, and innovation. This role leads the design, development, and operation of our modern data engineering foundation, powering trusted analytics, self-service reporting, and AI-ready data products across the enterprise.
You'll lead a team of data engineers responsible for building high-quality, scalable data pipelines, data models, and semantic layers that support critical business decisions. Acting as both a people leader and technical leader, you'll balance delivery speed, reliability, and forward-looking modernization, while partnering closely with Analytics Solutions, Architecture, Governance, and business stakeholders.
This role reports to the Associate Director of Data & Analytics and serves as a key technical leader within our evolving, product-oriented data ecosystem.
Key Responsibilities
Data Engineering Foundation & Delivery
  • Lead the design, development, and maintenance of data pipelines, data models, semantic models, and data platforms aligned to enterprise standards
  • Deliver curated, durable, and reusable data assets aligned to priority business decision domains
  • Ensure timely, accurate, and reliable availability of data across enterprise analytics use cases

Technical Design & Scalability
  • Partner with Data & Analytics Architecture to align solutions with enterprise standards and best practices
  • Ensure platforms and pipelines are scalable, performant, maintainable, and adaptable
  • Make informed tradeoff decisions across performance, cost, and delivery speed

Modern Data Ecosystem Enablement
  • Build AI/ML-ready and product-oriented data engineering capabilities
  • Engineer low-latency and real-time data pipelines for operational analytics and intelligent applications
  • Develop ingestion and processing frameworks for structured and unstructured data

Data Trust, Reliability & Operational Readiness
  • Embed data quality, documentation, lineage, and observability into data assets
  • Ensure production-grade reliability and operational readiness in partnership with Governance and D&A Operations

Enablement of Analytics & Self-Service
  • Partner with Analytics Solutions to enable BI, advanced analytics, and data science
  • Deliver trusted, well-modeled semantic layers that empower self-service analytics

Team Leadership & Capability Development
  • Lead, mentor, and develop a team of on-shore data engineers and coordinate with off-shore partners
  • Foster a culture of engineering excellence, accountability, and continuous improvement
  • Drive adoption of modern tools, practices, and AI-enabled engineering workflows

Operational Excellence & Continuous Improvement
  • Translate enterprise priorities into executable delivery plans
  • Balance speed, quality, and sustainability across delivery and operations
  • Leverage automation and AI tools to improve efficiency and code quality

Qualifications
What We're Looking For
Required Qualifications
  • 5+ years of experience in data engineering, data warehousing, or related disciplines
  • 2+ years of experience leading data engineering teams and enterprise-scale platforms
  • Strong experience with modern cloud data stacks (e.g., Snowflake, dbt, ELT tools)
  • Proven expertise in data modeling, including dimensional and domain-oriented/semantic models
  • Experience building production-grade pipelines with testing, monitoring, and CI/CD
  • Familiarity with data quality, observability, and governance practices
  • Experience leveraging AI tools to accelerate engineering workflows
  • Strong collaboration, communication, and stakeholder-management skills
  • Bachelor's Degree REQUIRED in a technical or quantitative field (advanced degree preferred)

Preferred Qualifications
  • Experience in CPG, manufacturing, supply chain, or commercial analytics
  • Experience in federated or product-oriented data operating models
  • Exposure to real-time streaming, generative AI, LLM-enabled analytics, or RAG architectures
  • Working knowledge of metadata, lineage, access controls, and data governance concepts
  • Strong business acumen and comfort operating in ambiguity

Why You'll Love This Role
At Post Consumer Brands, you'll find big company opportunity with a small company attitude, the chance to work with iconic brands and enterprise-scale data, while still having the autonomy to make meaningful impact. You'll help shape a modern, AI-ready data foundation, lead and grow a talented engineering team, and directly influence how data drives smarter decisions across the business.
We value curiosity, ownership, and outcomes. You'll be trusted to build clarity, elevate standards, and move the organization forward, while being supported by a collaborative, growth-oriented culture that respects work-life balance and personal development.
Ready to Make an Impact?
If you're excited to lead, build, and modernize data engineering capabilities that power real business outcomes and you thrive in an environment where your ideas and leadership truly matter, we'd love to hear from you! Apply today and help shape the future of data at Post Consumer Brands.
The pay range for this position is $102,931 - $152,338 per year.

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