Data Engineering Manager

Remote
Full Time
Engineering
Manager/Supervisor
ABOUT AEROFARMS:  AeroFarms is transforming agriculture with people and the planet in mind. As a Certified B Corporation and a pioneer in indoor vertical farming, we have built a proprietary agriculture platform to grow products, delivering superior flavor, better quality, and improved nutrition and food safety in our industry. Now in over 2,800+ store fronts across the nation, we are scaling our award-winning brand and technology.   

We are seeking a highly skilled Data Engineering Manager to design, build, and scale our Data Engineering and Software Engineering capabilities. You will drive strategy, execution, and adoption of platform initiatives, ensuring reliability, security, and developer productivity across the organization.

You will also be a key contributor in the technical architecture and development related activities related to future farms.

Key Responsibilities
  • Data Engineering
    • Design, build, and maintain scalable data pipelines for batch and real-time processing.
    • Develop and optimize ETL/ELT workflows to integrate structured and unstructured data from multiple sources.
    • Ensure data quality, governance, and lineage across data platforms.
    • Collaborate with Data Scientists and Analysts to support advanced analytics and machine learning initiatives.
    • Manage and tune data storage solutions (SQL/NoSQL databases, data warehouses, data lakes).
  • Functional
    • Manage Snr. Software Engineer
    • Wear multiple hats to help IT in a cross-section of items where needed
    • Partner with other departments to design and deploy critical systems
    • Challenge yourself and your peers to always improve

Responsibilities in Support
  • Full Stack Development
    • Contribute to backend APIs, data services, and frontend integrations.
    • Design and build horizontally scalable components within a new major platform that the team is developing.
    • Apply strong coding practices and conduct reviews where necessary.

Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience).
  • 8+ years of professional experience in Data Engineering, Full Stack Development, or related roles with 2+ years in People Management.
  • Strong background in data pipeline orchestration and big data technologies
  • Strong programming skills.
  • Excellent problem-solving, communication, and leadership skills.

Our Tools
  • CI/CD: GitHub Actions & Azure DevOps
  • On-Prem Infrastructure: VMware/ESXi/vSphere, Meraki
  • Cloud: Azure
  • Containers: Docker (Compose & Swarm), Kubernetes (AKS, K3s, ArgoCD)
  • SQL: PostgreSQL, Timescale DB, MS SQL Server, Fabric
  • Programming: Git, Typescript, JavaScript, Bash, PowerShell
  • Frameworks/Libraries: React, AntD, Apollo/GraphQL, Express, Cypress, Redux/Saga
  • Big Data: Kafka, Spark, Fabric, Power BI, Notebooks (Jupyter), Timescale DB

Nice to Have
  • DevOps Experience
  • Manufacturing Industry Experience
  • Experience with Inductive Automation, Python, Unified Name Space, and MQTT

Location
Remote with Travel

In accordance with organizational protocol, employees will at times be required to fill absences in the operation process that are equal to or lower than their positional hierarchy. Additionally, if an employee is absent, the role of the absent employee is to be completed by their immediate superior.
 
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