Data Platform Engineer
Hubble Network2 months ago
Base Salary
$153k - $250k/yr
Responsibilities
- Own transformation models across Staging, Warehouse, and Mart layers, including star schemas, slowly changing dimensions, data contracts, tests, and lineage.
- Design operational mart tables and own their performance behind an internal metrics API, targeting p95 latency under 5 seconds for mart queries and under 500ms for metric endpoints.
- Build real-time data and telemetry pipelines using Apache Iceberg, with freshness monitoring and operational alerting.
- Design event collection and funnel analytics spanning authentication, usage, billing, acquisition, activation, engagement, retention, and revenue.
- Land satellite telemetry in dashboards and monitoring systems for Mission Operations.
- Automate daily Stripe Platform billing and Hubble usage reconciliation down to device and packet-level discrepancies.
- Define canonical business metrics, ownership, lineage, semantic layers, curated datasets, cataloging, and documentation.
- Implement dataset classification, retention, masking, anonymization, lineage, and auditable access logging.
- Evaluate and operate data tooling such as Fivetran, dbt, Redshift, and Metabase, favoring pragmatic buy-versus-build decisions.
- Collaborate as a peer with Platform and Engineering and as an embedded consultant to Finance, Product, Customer Success, and Mission Operations.
Requirements
- 7+ years building production data systems, including 2+ years operating at senior or staff scope with architecture ownership.
- Deep SQL and dimensional modeling expertise, including star schemas, slowly changing dimensions, fact tables, and grain discipline.
- Production experience with dbt or a similar tool, including model organization, macros, incremental strategies, tests as contracts, and CI checks.
- Deep cloud data warehouse experience, ideally with Redshift, including distribution and sort keys, vacuum and analyze behavior, workload management, and query optimization.
- Python or Scala experience for specialized pipelines, custom connectors, backfills, and reconciliation jobs.
- Experience defining event taxonomies, tracking plans, product analytics instrumentation, and durable funnel tables.
- Experience with anomaly detection, freshness monitoring, data quality engineering, incident response, and pipeline escalation.
- Fluency using AI agents or agentic coding tools in a production data workflow and ability to critically review their output.
- Experience with high-volume machine-generated data, telemetry, events, or IoT at billions-of-rows scale.
- Experience building semantic layers and metric-definition systems that preserve consistent meanings across tools.
- Experience with streaming or near-real-time ingestion using technologies such as Kinesis, Kafka, or Redpanda, and Apache Iceberg or Pinot.
- Experience owning a BI platform, including permissions, curated collections, and governance.
- Interest or experience in IoT, satellite systems, telemetry, or geospatial data is preferred.
- Billing, usage-based pricing, revenue reconciliation, revenue recognition, SOC 2 or similar compliance, open-source contributions, or public technical writing are preferred.
Benefits
- Salary range of $153,000-$250,000 per year, commensurate with experience.
- Health, dental, vision, and HSA/FSA options.
- Unlimited paid time off.
- Commuter benefits if working from headquarters.
- Learning and development allowance.
- Health and wellness stipend.
- Sabbatical program.
- Work on state-of-the-art satellite systems.
- Role based in San Francisco, California; applicants must be U.S. citizens or lawful permanent residents due to ITAR requirements.
Tech Stack
Categories
Data Engineering
About Hubble Network
Hubble Network builds a direct-to-satellite connectivity network that lets off-the-shelf Bluetooth Low Energy devices transmit data without gateways or cellular coverage. The company sells global IoT connectivity and a developer platform for asset tracking and sensor applications across logistics, agriculture, maritime, and industrial markets. Founded in 2021 and headquartered in Seattle, it launched its first satellites in 2024 to begin rolling out worldwide coverage.