Senior Data Engineer

Averity; New York (NY); Híbrido; USD 160.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Descripción de la vacante

Averity in New York seeks a Senior Data Engineer to own the analytical data platform, from ingestion to BigQuery, data marts and BI, and to define the architecture and standards that guide the platform's evolution.

You will shape the data lifecycle, implement scalable pipelines, and own critical data decisions across teams. This role offers NYC hybrid or US remote options with equity.

Formación

• Extensive production experience with BigQuery and GCP.
• Strong Python and advanced SQL skills.
• Experience with Apache Beam/Dataflow and Airflow/Cloud Composer.
• Experience designing or re-architecting cloud data warehouses and data lakes.
• Excellent data modeling, reliability and governance understanding.
• Proven track record owning complex data-platform initiatives.

Responsabilidades

• Own and evolve a production GCP/BigQuery data platform.
• Design scalable data models, warehouses and governed data marts.
• Build production pipelines using Python, Apache Beam, Dataflow, Airflow and Cloud Composer.
• Solve hard data problems around retries, idempotency, schema evolution, backfills and late or duplicate events.
• Define trusted metrics used across product, finance and leadership.
• Improve reliability, governance, security and cost efficiency across the data platform.
• Turn ambiguous business needs into a practical technical roadmap.
• Help shape the architecture for the company’s future data organization.

Conocimientos

BigQuery

GCP

Python

Advanced SQL

Data modeling

Data governance

Airflow

Cloud Composer

Apache Beam

Dataflow

Data warehouses

Data lakes

Herramientas

dbt/Dataform

Terraform

CI/CD

Superset

Descripción del empleo

I'm recruiting for a growing AdTech company looking for a Senior Data Engineer to take real ownership of its analytical data platform.

This is not a role where you inherit a perfectly organized warehouse and spend your time maintaining pipelines.

You’ll help define the architecture across the entire data lifecycle - from source ingestion and durable storage through BigQuery, data marts and business intelligence - while acting as the senior technical authority for how the platform evolves.

What you'll be doing:

• Own and evolve a production GCP / BigQuery data platform
• Design scalable data models, warehouses and governed data marts
• Build production pipelines using Python, Apache Beam, Dataflow, Airflow and Cloud Composer
• Solve hard data problems around retries, idempotency, schema evolution, backfills and late or duplicate events
• Define trusted metrics used across product, finance and leadership
• Improve reliability, governance, security and cost efficiency across the data platform
• Turn ambiguous business needs into a practical technical roadmap
• Help shape the architecture for the company’s future data organization

What they're looking for:

• Deep production experience with BigQuery and GCP
• Strong hands‑on Python and advanced SQL
• Production experience with Apache Beam / Dataflow
• Strong Airflow / Cloud Composer experience
• Experience designing or materially rearchitecting cloud data warehouses and data lakes
• Strong understanding of data modeling, reliability and governance
• A track record of independently owning complex data-platform initiatives
• Ability to work across technical and non-technical teams and drive decisions without needing a large platform organization around you

Experience in AdTech, programmatic advertising or retail media is highly valuable, but it is not a hard requirement. Strong engineers from other high-volume event environments will also be considered.

Experience with Superset, dbt/Dataform, Terraform, CI/CD and data governance is also a plus.

This is a great fit for someone who wants to be the person designing the data platform rather than simply consuming it - with real influence over architecture, standards and the roadmap.

NYC Hybrid or US Remote

$160K-190K base + equity