Lead Data Engineer: Architecting High-Scale Data Solutions

Lead Data Engineer – Transform Environmental Data into Actionable Business Insight
Location: Remote / Flexible (preferably US‑based)
Team: Data & Analytics – Fast‑growing, mission‑driven startup

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Why This Role Matters

Our platform turns raw environmental data into powerful, decision‑making intelligence for enterprises worldwide. As a Lead Data Engineer, you’ll design and own the end‑to‑end data fabric that powers this transformation—building the pipelines, orchestration, and APIs that turn massive, heterogeneous data streams into reliable, cost‑effective, real‑time insights.

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What You’ll Do

Area	Impact
Architecture & Blueprinting	Define and evolve a scalable, cloud‑native data architecture (lake, warehouse, and serving layers) that can ingest petabytes of sensor, satellite, and IoT data.
Pipeline Engineering	Build robust, fault‑tolerant ETL/ELT pipelines using modern stacks (e.g., Apache Beam, Spark, dbt, Airflow/Prefect). Optimize for latency, throughput, and data quality.
Workflow Orchestration	Design, implement, and maintain complex DAGs for batch and streaming jobs. Ensure precise scheduling, monitoring, and alerting across environments.
API Development	Create high‑performance backend APIs (REST/GraphQL) that expose curated data products to internal tools and external partners.
Storage & Cost Optimization	Choose the right storage tier (BigQuery, Cloud Storage, Firestore, etc.) and continuously tune schemas, partitioning, and clustering to balance performance with cost.
Mentorship & Best Practices	Lead code‑review cycles, enforce CI/CD pipelines, and champion data‑engineering best practices (testing, documentation, observability).
Collaboration	Partner with data scientists, product managers, and business stakeholders to translate requirements into reliable data solutions.

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Who You Are

Requirement	Details
Experience	5+ years in Data Engineering or Backend Engineering, with a track record of shipping production‑grade data platforms.
ETL Mastery	Deep knowledge of ETL/ELT patterns, data modeling, and data quality frameworks.
API Expertise	Proven ability to design and deliver performant backend APIs for data consumption.
Cloud Proficiency	Hands‑on experience with Google Cloud Platform (BigQuery, Dataflow, Cloud Composer, Pub/Sub, GCS, etc.). Familiarity with IaC (Terraform/Deployment Manager) is a plus.
Programming	Strong coding skills in Python, Java/Scala, or Go; comfortable with SQL and scripting.
Ops Mindset	Experience with workflow orchestration tools (Airflow, Prefect, Dagster) and monitoring/alerting stacks (Stackdriver, Prometheus, Grafana).
Culture Fit	Entrepreneurial spirit, curiosity about environmental data, and a commitment to engineering excellence.

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What We Offer

• Impact‑First Mission – Directly influence sustainability‑focused products used by Fortune‑500 customers.
• Tech‑First Environment – Work with the latest cloud services, open‑source frameworks, and a modern CI/CD pipeline.
• Competitive Compensation – Base salary + equity + performance bonuses.
• Flexibility – Remote‑first culture with flexible hours and generous PTO.
• Learning & Growth – Budget for conferences, certifications, and continuous education.
• Collaborative Culture – Small, cross‑functional team where every voice matters.

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Ready to Shape the Future of Data Engineering?

If you’re excited about building world‑class data systems that drive real‑world environmental impact, we’d love to hear from you.

Apply now with your resume, a brief cover letter highlighting a data pipeline you’re proud of, and any relevant GitHub/portfolio links.

Join us and turn data into decisive action.