Senior Data Engineer — Remote Data Pipelines & Platforms

vida; United States; Remote; USD 160,000 - 170,000; Full time

Benefits offered by this job

Remote-eligible role

US-based role (visa not sponsor)

Job summary

vida seeks a senior data platform engineer to own end-to-end production data systems—from ingestion through delivery—shaping architecture, pipelines, and downstream tooling.

You will design robust batch and asynchronous pipelines, ensure data correctness, and collaborate with product, analytics, and operations to meet evolving requirements.

Remote-eligible in the United States; compensation range is $160,000–$170,000 per year.

Qualifications

• Bachelor's degree and 5+ years building production data systems.
• Strong SQL and data modeling fundamentals, including grain, keys, history, dimensional modeling.
• Experience designing and operating batch and asynchronous pipelines, with understanding of failure modes in distributed systems.
• Experience with a cloud data platform and knowledge of storage, query performance, and cost tradeoffs.
• Strong data correctness instincts, including validation, idempotency, late-arriving records, schema evolution, backfills, and reprocessing.
• Proficiency in Python for pipelines, services, tooling, and tests, with careful production deployment practices.
• Clear written communication, including documenting technical decisions for non-engineering audiences.

Responsibilities

• Own production data systems and domains end-to-end from ingestion to delivery.
• Design ingestion patterns that tolerate incomplete, duplicated, delayed, malformed, or evolving upstream data.
• Define and maintain contracts between source systems, ingestion, transformation, and analytics consumers.
• Model data with clear grain, keys, history, and definitions to keep metrics consistent.
• Evolve schemas, pipelines, and datasets safely with retries, backfills, and replay strategies.
• Improve pipeline performance, observability, and failure handling, collaborating with engineering, product, operations, and analytics.

Skills

SQL

Data modeling

Batch pipelines

Asynchronous pipelines

Python

Education

Bachelor's degree

Job description

vida seeks a senior data platform engineer to own end-to-end production data systems—from ingestion through delivery—shaping architecture, pipelines, and downstream tooling.

You will design robust batch and asynchronous pipelines, ensure data correctness, and collaborate with product, analytics, and operations to meet evolving requirements.

Remote-eligible in the United States; compensation range is $160,000–$170,000 per year.