Who we are

Picogrid envisions a future where every system, from the smallest sensors to next-generation fighter jets, can collaborate autonomously to create a safer and more prosperous world for all.

Today, we are at the forefront of American defense technology, developing a unified platform that integrates fragmented technologies—such as sensors, cameras, radar, and drones—into sophisticated mission systems.

Our technology is deployed globally, supporting customers including the U.S. Army, U.S. Air Force, CAL FIRE, PG&E, U.S. Fish and Wildlife, and many others.

About this Role

Picogrid is seeking an experienced Senior Data Engineer to design, build, and own our next-generation highly low latency, data ingestion and aggregation system. In this role, you will architect a robust data ingestion pipeline capable of handling diverse data types—from telemetry time-series data to large blob storage—and integrate an automation workflow for downstream processing. You will work in Go, design solutions for cloud, edge-based, and/or hybrid environments, and collaborate with teams using Kubernetes and AWS. The ideal candidate is passionate about data infrastructure, has a strong understanding of data governance and compliance practices, and is excited about building scalable solutions from the ground up.

Key Responsibilities

• Data Pipeline Architecture & Development:

  • Design and build a highly extensible, scalable data ingestion pipeline to capture and process data from thousands of sensors, IoT devices, and external sources.

  • Ensure the pipeline accommodates different data types (e.g., time-series telemetry, blob storage) and is built to seamlessly onboard new data sources.

  • Architect a secure data platform that meets stringent US government/DoD compliance requirements and is designed for third-party developers to build additional solutions.

• Workflow & Automation:

  • Develop and implement a workflow automation pipeline that triggers actions based on ingested data, ensuring timely data processing and integration into downstream systems.

• Third-Party Platform Enablement:

  • Build and maintain a platform that serves as a foundation for internal/external partners and third-party developers, ensuring it’s well-documented, modular, and secure.

  • Provide API endpoints, SDKs, and integration guidelines to facilitate third-party solution development.

• Software Development:

  • Write and maintain efficient, robust, and clean code using Go, Python, and Typescript.

  • Collaborate on code reviews and implement best practices in software development and testing.

• Cloud & Hybrid Architecture:

  • Architect solutions that operate effectively in cloud, edge, or hybrid environments using AWS and other relevant platforms.

  • Leverage Kubernetes for container orchestration and management of scalable microservices.

• Data Governance & Compliance:

  • Integrate data governance practices into the pipeline design, ensuring data integrity, quality, and compliance with relevant regulations.

  • Stay up-to-date with compliance requirements and implement necessary controls in data handling and storage.

• End-to-End Ownership:

  • Take complete ownership of the data ingestion and aggregation system, from concept and design through to implementation, monitoring, and ongoing improvements.

Required Skills & Qualifications

• Technical Proficiency:

  • Strong experience in designing and building data pipelines and ETL/ELT processes.

  • Technical expertise in one or more of the following stacks: Go, Node, Java, Python

  • Hands-on experience with AWS services (e.g., S3, Athena, Glue, Lambda, Redshift) and cloud-based infrastructure.

  • Working knowledge of container orchestration (e.g., Kubernetes, Docker Compose) and microservices architecture.

  • Experience in managing and provisioning new data infrastructure with IaC tools such as Terraform.

  • Experience in building scalable solutions in cloud, edge, or hybrid environments.

• Data Handling:

  • Expertise in ingesting and processing high volumes of diverse data, including real-time sensor and IoT data.

  • Familiarity with managing different storage systems optimized for various data types (e.g., time-series databases, blob storage).

• Data Governance & Compliance:

  • Awareness of data governance practices, including data quality, lineage, and security.

  • Understanding of compliance regulations (e.g., NIST 800-53r5, Fedramp, CMMC) and how they impact data storage and processing.

• Soft Skills:

  • Strong problem-solving skills with the ability to troubleshoot complex data pipelines.

  • Excellent communication skills and the ability to work collaboratively across teams.

  • Ability to take initiative and work independently with minimal supervision.

Preferred Qualifications

• Experience with workflow orchestration tools (e.g., Apache Airflow, AWS Step Functions).

• Exposure to other programming languages or data engineering tools (e.g., Python, Spark).

• Prior experience in scaling data systems for early-stage products transitioning to enterprise-grade solutions.

• Experience working with government or defense-related projects.

Export Control Requirements

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.