1

Python Agriculture Jobs in Ashburn, VA (NOW HIRING)

Manulife Investment Management Timberland and Agriculture (MIMTA) is seeking a motivated Analyst to ... Apply analytical tools (Excel, GIS, Python/R exposure) to improve workflows and data quality.

New

Public Health Analyst

Vienna, VA · On-site

$60K - $75K/yr

R and Python skills are preferred for data management and basic statistical analysis * Knowledge of ... Department of Agriculture (USDA) Through strategic partnerships, intellectual property, and ...

Public Health Analyst

Vienna, VA · Hybrid

$60K - $75K/yr

R and Python skills are preferred for data management and basic statistical analysis * Knowledge of ... Department of Agriculture (USDA) Through strategic partnerships, intellectual property, and ...

AI Prompt Engineer

Ashburn, VA · On-site

$66.70 - $133.30/hr

... agricultural protection into one coordinated and supportive activity. ASF programs thrive in a ... Experience with at least one programming language (Python, JavaScript/TypeScript) * Familiarity ...

... agricultural protection into one coordinated and supportive activity. ASF programs thrive in a ... Experience with at least one programming language (Python, JavaScript/TypeScript) * Familiarity ...

Python Agriculture information

See Ashburn, VA salary details

$13

$59

$88

How much do python agriculture jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python agriculture in Ashburn, VA is $59.95, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $68.08 per hour, depending on experience, location, and employer.

What is the difference between Python Agriculture vs Data Analyst?

AspectPython AgricultureData Analyst
Required CredentialsBasic programming skills, Python knowledge, possibly agriculture-related certificationsDegree in statistics, data science, or related field; proficiency in data tools
Work EnvironmentAgricultural settings, research farms, tech companies focusing on agri-techOffices, data centers, or remote work environments
Industry UsageApplying Python for crop modeling, automation, and data collection in agricultureAnalyzing data trends, generating reports, supporting business decisions

Python Agriculture professionals focus on applying Python programming within agricultural contexts, often working on crop data analysis and automation. Data Analysts work across various industries analyzing data to inform decisions. While both roles require data skills, Python Agriculture emphasizes agricultural applications, whereas Data Analysts have broader industry usage.

Infographic showing various Python Agriculture job openings in Ashburn, VA as of August 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution, with an average salary of $124,689 per year, or $59.9 per hour.

Geospatial Services Lead

Agelix Consulting

Washington, DC • On-site

Full-time

Re-posted 18 days ago


Job description

Job Title: Geospatial Services Lead
Location: Washington, D.C. 20250
Employment Type: Full-Time
Experience Level: Senior

About the Role
We are seeking a dynamic and experienced Geospatial Services Lead to lead the design, implementation, and management of advanced geospatial data solutions. This senior-level position will play a critical role in coordinating with the Natural Resources Conservation Service (NRCS) Geospatial (GEO) Branch to ensure all geospatial initiatives align with agency-wide standards, practices, and strategic priorities. The ideal candidate will combine technical expertise in geospatial technologies with strong leadership and collaboration skills to drive innovation and operational efficiency.

Key Responsibilities

  • Strategic Leadership: Oversee the development, deployment, and maintenance of enterprise-level geospatial systems, tools, and data solutions to support agency missions.
  • Compliance and Alignment: Serve as a subject matter expert to ensure geospatial workflows, data formats, and tools adhere to NRCS GEO Branch standards and federal geospatial protocols (e.g., FGDC, OGC, ISO).
  • Cross-Functional Collaboration: Partner with internal teams, external stakeholders, and NRCS GEO Branch personnel to identify needs, resolve technical challenges, and optimize geospatial capabilities.
  • Project Management: Lead geospatial initiatives from concept to delivery, including budgeting, scheduling, and risk management, while maintaining compliance with federal IT and data governance policies.
  • Team Mentorship: Guide and mentor junior geospatial professionals, fostering a culture of innovation and continuous learning.
  • Technical Innovation: Stay abreast of emerging geospatial technologies (e.g., AI/ML in spatial analytics, cloud GIS, remote sensing) to recommend and implement cutting-edge solutions.

Qualifications

  • Education: Bachelor’s degree in Geography, Geospatial Science, Environmental Science, Computer Science, or related field; Master’s degree preferred.
  • Experience: Minimum of 8+ years of progressively responsible experience in geospatial data management, GIS development, and geospatial service delivery, with 3+ years in a lead/supervisory role.
  • Technical Expertise:
    • Proficiency in GIS software (ArcGIS Pro, QGIS, etc.) and geospatial programming (Python, SQL, R).
    • Experience with geospatial data formats (raster/vector, Shapefiles, GeoJSON, etc.) and metadata standards.
    • Familiarity with federally mandated geospatial frameworks and standards (e.g., FGDC Metadata, OGC web services).
  • Certifications: Relevant certifications (e.g., Esri Technical Certification, GISP, PMP) are a plus.
  • Leadership: Demonstrated ability to lead cross-functional teams, manage complex projects, and communicate effectively with stakeholders at all levels.
  • Regulatory Knowledge: Working understanding of NRCS geospatial protocols and agricultural conservation data needs is highly desirable.

Additional Qualifications (Preferred)

  • Experience with cloud-based GIS platforms (e.g., Amazon Web Services, Microsoft Azure).
  • Background in agricultural or environmental data systems.
  • Strong analytical and problem-solving skills with a focus on scalable, data-driven solutions.