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Agriculture Engineer Remote Jobs (NOW HIRING)

Data Engineer (Remote)

$117K - $140K/yr

ECOM is a company focused on digital transformation in the agriculture industry. They are seeking a Data Engineer to build a data lake using AWS stack, integrate data sources, and support analytics ...

... are, automotive, agribusiness, insurance, and many more. Experian invests in people and new ... Experian is looking for an Solutions Engineer who combines technical depth with client engagement ...

... are, automotive, agribusiness, insurance, and many more. Experian invests in people and new ... Experian is looking for an Solutions Engineer who combines technical depth with client engagement ...

Senior Data Engineer (Remote)

$108K - $147K/yr

ECOM is a company in the Agriculture Industry focused on Digital Transformation across the fertilizer sector. They are seeking a Senior Data Engineer to build a Data Lake using AWS Stack and ...

Senior Data Engineer (Remote)

$108K - $147K/yr

ECOM is focused on digital transformation in the agriculture industry, and they are seeking a Senior Data Engineer to build a Data Lake using AWS. The role involves data integration, working with ...

D. in Hydrology, Water Resources Engineering, Environmental Engineering, Civil Engineering, Agricultural Engineering, Geosciences, or a closely related field with remote sensing data application at ...

Combination of remote/office and agricultural facilities in all weather conditions * Frequent ... Associate's degree in Agricultural Engineering, Precision Agriculture, Electrical Engineering ...

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Showing results 1-20

Agriculture Engineer Remote information

See salary details

$38K

$115.9K

$191.5K

How much do agriculture engineer remote jobs pay per year?

As of Sep 14, 2026, the average yearly pay for agriculture engineer remote in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Agriculture Engineer Remote jobs?

For Agriculture Engineer Remote jobs, the most frequently searched job titles are:

Infographic showing various Agriculture Engineer Remote job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Data Engineer (Remote)

Remote

ECOM
IT Services • 51 - 200 employees

$117K - $140K/yr

Full-time

Re-posted 3 days ago


Job description

Job Summary:
ECOM is a company focused on digital transformation in the agriculture industry. They are seeking a Data Engineer to build a data lake using AWS stack, integrate data sources, and support analytics projects in a collaborative team environment.
Responsibilities:
• Develop and deploy large scale advanced analytics applications into a production environment
• Collaboratively develop code in object-oriented language for a production environment
• Work in Linux environment (bash scripting)
• Utilize SQL for Data Normalization
• Implement Python for data processing
• Understand and apply Data Structures (arrays, lists, stacks, queues, trees, dictionaries, etc.)
• Employ data mining techniques and methodologies (data prep/modeling, classification, regression, clustering, causal modeling, AI, machine learning, ensemble approaches)
• Create effective data visualizations using advanced data visualization tools
• Rapidly develop proof of concepts and test new ideas, scaling them into production ready models
• Leverage cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure
• Utilize AWS big data services (Kinesis, Glue, EMR, Spectrum etc.)
• Work with ETL & analytics tools (AWS, Matillion, Tallend, AtScale, etc.)
• Implement data virtualization technologies (Denodo, etc.)
• Utilize data visualization tools (PowerBI, Tableau, etc.)
• Participate in Scrum/Agile delivery processes and DevOps concepts (i.e. CI/CD)
• Work with data storage technologies (Redshift, S3, Hadoop, Graph, etc.)
• Use multiple languages and syntax (Python, SQL, Apache Spark, etc.)
• Manage Container based orchestration of big data pipelines
• Implement Rest APIs for pulling or pushing data to/from internal and external applications.
Qualifications:
Required:
• A minimum of three years developing and deploying large scale advanced analytics applications into a production environment
• Minimum of five years, hands-on experience collaboratively developing code in object-oriented language for a production environment, including:
• Experience working in Linux environment (bash scripting)
• SQL (Data Normalization)
• Python
• Data Structures (arrays, lists, stacks, queues, trees, dictionaries, etc.)
• Experience in data mining techniques and methodologies (data prep/modeling, classification, regression, clustering, causal modeling, AI, machine learning, ensemble approaches)
• Advanced experience in data visualization tools with a strong grasp of effective data modeling and visualization practices
• Experience rapidly developing proof of concepts and testing new ideas, as well as scale these ideas into production ready models
• Experience leveraging cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure
Preferred:
• Advanced, relevant education, advanced Degree (Masters or PhD) in engineering, mathematics, physics, economics, computer science, statistics, or business analytics
• Experience with AWS big data services (Kinesis, Glue, EMR, Spectrum etc.)
• Experience with ETL & analytics tools (AWS, Matillion, Tallend, AtScale, etc.)
• Experience with data virtualization technologies (Denodo, etc.)
• Experience with data visualization tools (PowerBI, Tableau, etc.)
• Experience with Scrum/Agile delivery processes and DevOps concepts (i.e. CI/CD)
• Experience with data storage technologies (Redshift, S3, Hadoop, Graph, etc.)
• Experience with cloud Platforms (AWS, Azure, Google)
• Experience with multiple languages and syntax (Python, SQL, Apache Spark, etc.)
• Experience with Container based orchestration of big data pipelines
Company:
Ecom finds their Clients the right IT experts with the right qualifications. Founded in 2018, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.