Senior Data Platform Engineer
Quick facts
- Pay
- $135–$205/hr
- Type
- Contract
- Location
- Remote
- Skills
- SQL
- Platform
- Alpheva — 134 open jobs
- Typical pay at Alpheva
- $100–250/hour · median $183 (129 jobs on our site)
- Payout
- Not published by Alpheva
- Apply
- Free to apply — never pay to get AI training work
Assess large-scale batch and streaming architectures, lakehouse design, data contracts, orchestration, lineage, and production data quality.
Review AI-generated pipelines for correctness, idempotency, schema evolution, recovery behavior, observability, and cost-aware scalability.
Identify weak ownership boundaries, silent data-quality failures, brittle dependencies, and governance gaps that would surface in production.
Provide practical corrections using SQL, Spark, Kafka, dbt, Airflow, and comparable modern data-platform patterns.
Remote, project-based contract work. Scope and hours depend on project matching; the listed hourly range applies to matched work.
Requirements
- 7+ years building production data platforms or analytics infrastructure
- Advanced SQL plus expertise in Spark, Kafka, dbt, Airflow, or comparable systems
- Experience designing reliable, observable, governed data products at scale
Pay
$135–$205/hr
Alpheva is a new expert network (launched September 2026); payout methods are not published yet, so confirm your first payment before scaling up.