Est. Monthly

Estimated €4,881 - €6,708

Posted August 10, 2026 · 3 days agoLast seen August 13, 2026Deadline November 11, 2026

Signify Technology · Company insights

Data Engineer

USA, Remote, United States

Remote · Data & Analytics

Contract · Senior

English

No People Management

5 years experience

How this salary compares

Salary Context: Data Engineer

Hover or tap a row for full statistics (EUR / month on this chart).

Market Average: Data Engineer

€3,000

€7,800

Market Average: Senior Level

€2,879

€11,033

Pay in our data — not quoted in ad (Senior)

€407

€559

Salary analysis

Compared with the selected benchmark ("Market Average: Senior Level"), this listing's salary midpoint is about 93% lower. The offer sits below the benchmark range (€2,879–€11,033). The listed pay band (€407–€559) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 6 comparable listings.

Monthly salary comparison for Data Engineer
Market	Lower bound (25th percentile)	Median	Upper bound (75th percentile)
Market Average: Data Engineer	€3,000/per month	€5,500/per month	€7,800/per month
Pay in our data — not quoted in ad (Senior)	€407/per month	€483/per month	€559/per month

About the role

Data Engineer (Senior) Role focused on owning the data platform powering product features and analytics. Hands-on responsibilities designing, building, and operating pipelines, warehouse models, quality layers, and serving surfaces for Looker dashboards and AI agents. Collaborates with full-stack team in a remote, async-first environment.

Job Details

Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines and transformation workflows (BigQuery + Dataform/dbt) that keep operational stores (PostgreSQL, MongoDB) and the warehouse in sync.
Own data modeling, schema design, indexing strategies, validation, quality checks, change management, auditing, and traceability.
Build and maintain aggregated / denormalized serving layers used by Looker and by AI agents; keep the semantic layer (descriptions, tags, golden queries) accurate and trusted.
Partner with Solutions Engineering and Customer Success on customer data integrations, reporting, migrations, and backfills.
Review and improve ingestion patterns from external/source systems; optimize performance and cost.
Collaborate with full-stack engineers on data contracts, real-time needs, and production services that touch the data platform.
Mentor teammates on data modeling, pipeline patterns, and warehouse best practices.
Contribute TypeScript / Node code where pipeline orchestration or data contracts live in application services.

Requirements

5–8 years of professional experience in data engineering or backend engineering with a strong data focus.
Production experience with BigQuery (or equivalent cloud warehouse) and a transformation framework (Dataform or dbt).
Strong relational and NoSQL skills (PostgreSQL required; MongoDB highly preferred).
Comfortable working in a remote, async-first US-based team.
Professional English fluency.