Senior Data Platform Engineer — Equity & On-Site Role

Nebula; El Segundo (CA); On-site; USD 100,000 - 250,000; Full time

Benefits offered by this job

Equity participation

Health, dental and vision insurance

401(k) with company matching

Bonus for living within 5 miles of ElD

Job summary

Nebula is seeking a data engineer to build and operate the production data platform that stores, models and streams knowledge about customers, machines and the company itself. You will own pipelines, entity model, provenance and time-series infrastructure, collaborating with AI systems daily.

You will work on-site in El Segundo, with equity and strong compensation. This role demands hands-on experience with data pipelines, SQL, Python, and modern data stores, and a passion for scalable, reliable

Qualifications

• Degree in computer science, data engineering, information systems or related field or equivalent experience
• Hands-on production data pipelines with idempotency, replay, backfills and schema evolution
• Information modeling and entity resolution with canonical identifiers and reversible merges
• Fluent with document and relational stores; SQL and Python; able to explain slow queries
• Judgment to trace wrong numbers through pipelines rather than altering outputs
• Ready to build first version of a system and hand off to next engineer
• Bonus: knowledge graphs, taxonomy design, geospatial work or high-rate time-series

Responsibilities

• Build and manage the data estate: schemas, indexes, migrations, query performance, retention and isolation rules
• Create and maintain ingestion pipelines: web enrichment, orders, machine telemetry, accounting feeds, idempotent and replayable
• Ensure data quality with contracts, tests, anomaly detection and stewardship workflows
• Develop canonical entity model: one identity per person, company, design, part, order and machine
• Implement deterministic keys, blocking and scoring for entity resolution, review queue and reversible merges
• Track provenance: source, confidence and history on derived records and corrections that survive reruns
• Handle time-series and events: taxonomy, downsampling, retention tiers, reliability metrics
• Develop geospatial features and serving: geocoding, drive-time catchments, facility siting and analytics layer

Skills

Data engineering

Pipelines design

Entity resolution

Information modeling

SQL

Python

Query optimization

System design

Geospatial analysis

Time-series

Education

Bachelor's degree in CS or related field

Tools

SQL

Python

Document stores

Relational stores

Graph databases

Job description

Nebula is seeking a data engineer to build and operate the production data platform that stores, models and streams knowledge about customers, machines and the company itself. You will own pipelines, entity model, provenance and time-series infrastructure, collaborating with AI systems daily.

You will work on-site in El Segundo, with equity and strong compensation. This role demands hands-on experience with data pipelines, SQL, Python, and modern data stores, and a passion for scalable, reliable