7 дней назад
Senior Data Engineer (GCP/BigQuery)
160 000 - 185 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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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