Offer summary

Qualifications:

10+ years in data architecture, data engineering, or software development, Expertise in SQL, Python, and JavaScript (Node.js, React), Experience with cloud platforms (AWS preferred), microservices, and containerization (Docker, Kubernetes), Strong background in database design, data modeling, and system security..

Key responsabilities:

Design and implement a flexible, scalable, and secure enterprise data architecture

Implement data pipelines and processes to extract, load, and transform data into a modern data warehouse

Collaborate with cross-functional teams to ensure data systems meet various needs

Ensure data governance, quality, and security best practices.

Job description

Advanced Agrilytics is seeking a talented and motivated Data Engineer to join our Engineering Team. The Data Engineer will play a key role in shaping and implementing our data architecture and strategy, enabling us to build scalable and efficient solutions to support our business objectives. This is an exciting opportunity for someone who thrives in a fast-paced startup environment and is eager to make a difference.

Advanced Agrilytics is an agronomy services company focused on unlocking the potential of every acre through direct-to-farm agronomic guidance, unbiased spatial research and sub-acre environment understanding, delivering on the promise of precision agriculture.  

This position is part of a job family. Placement will be determined by skills and qualifications of the candidate.

How you will help us grow:

Design and implement a flexible, scalable, and secure enterprise data architecture that supports high-volume data ingestion, storage, and analytics

Implement data pipelines and processes to extract, load, and transform data from various sources into a modern data warehouse

Collaborate with cross-functional teams to ensure data systems meet the needs of customers, internal product development, and business intelligence applications

Ensure data governance, quality, and security best practices

Stay updated on emerging trends and technologies in data management and analytics and evaluate their potential impact on our business

Contribute to web application development using React and Node.js

Experience you bring:

10+ years in data architecture, data engineering, or software development

Expertise in SQL, Python, and JavaScript (Node.js, React)

Experience with cloud platforms (AWS preferred), microservices, and containerization (Docker, Kubernetes)

Strong background in database design, data modeling, and system security

Familiarity with geospatial data and mapping technologies is a plus

Excellent problem-solving, collaboration, and mentorship skills

What our culture brings:

Competitive compensation