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7 дней назад

Senior Data Engineer (GCP/BigQuery)

160 000 - 185 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Engineer (GCP/BigQuery): Building and operating the data platform behind advertising, campaign, product, and financial reporting with an accent on high-volume event pipelines, warehouse architecture, and governed analytical models. Focus on designing BigQuery data layers, implementing batch and streaming pipelines, reconciling revenue and publisher-payment data, and improving data quality, observability, and cost management.

Location: United States; New York hybrid or remote.

Base salary: $160,000–$185,000 annually.

Company

hirify.global is a contextual advertising platform for CPG and grocery brands that connects food content with commerce experiences across publishers, retailers, and consumer touchpoints.

What you will do

  • Own and expand the data platform supporting advertising, campaign, product, financial, revenue, and publisher-payment reporting.
  • Design and implement BigQuery lake and warehouse architecture, including raw, staging, core, and reporting datasets, partitioning, clustering, ownership, and incremental loading.
  • Build and maintain batch and streaming pipelines with Python, SQL, Apache Beam, Dataflow, Pub/Sub, Cloud Storage, APIs, databases, and files.
  • Develop Cloud Composer and Apache Airflow workflows with safe retries, alerts, dependency management, replay, backfills, and failure recovery.
  • Create governed data models, data marts, Superset datasets, shared metric definitions, and reporting workflows for campaign delivery, reconciliation, analytics, and leadership.
  • Lead data-quality, observability, access-control, cost-management, incident-response, documentation, and cross-functional data initiatives.

Requirements

  • Demonstrated success designing, rearchitecting, and operating production analytical data platforms with durable raw layers, cloud warehouses, governed models, and business-facing data marts.
  • Deep hands-on experience with BigQuery schema design, partitioning, clustering, query performance, permissions, retention, and cost management.
  • Strong Python and advanced SQL skills for maintainable, tested production code across ingestion, transformation, orchestration, and data-serving layers.
  • Production experience with Apache Beam, Dataflow, Apache Airflow, and Cloud Composer, including idempotency, late-arriving events, schema evolution, monitoring, replay, backfills, and recovery.
  • Experience with dimensional, event, and domain modeling; data quality, reconciliation, observability, lineage, alerting, runbooks, and governed BI through Superset or a comparable platform.
  • Experience with Git, automated testing, CI/CD, code review, infrastructure as code such as Terraform, data governance, least-privilege access, privacy, retention, and technical documentation.

Culture & Benefits

  • Hybrid and remote work arrangements with a New York office.
  • Comprehensive healthcare, dental, and vision coverage.
  • Flexible paid time off, including vacation, sick days, mental health days, and 14 paid holidays.
  • Annual learning and development stipend, One Medical membership, and ClassPass membership.
  • Stock options, FSA and HSA access, a 401(k) retirement plan, commuter benefits, and discounted pet insurance.
  • Inclusive, collaborative culture emphasizing ownership, curiosity, action, customer focus, and continuous improvement.

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