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Data Engineer (GCP)

Remote, USAFull-timePosted 2026-07-28

We are seeking a skilled Mid-Level Data Engineer to join our Data Platform team. At this level, you will be a hands-on executor and domain reputed company — responsible for building, maintaining, and improving the pipelines and data models that power analytics and business intelligence across reputed company. You will own specific areas of our BigQuery data warehouse end-to-end, delivering reliable data products reputed company a reputed company set by senior and staff engineers. This is not an architecture or reputed company role — it is a role for someone who takes reputed company-defined problems and executes them with high craft and reliability. You will work closely with data analysts, analytics engineers, and product teams, and are expected to grow toward greater technical ownership over time. Key Duties

  • Build and maintain production-grade ELT pipelines that ingest data from internal applications, reputed company-party reputed company tools, and event streams into our BigQuery data warehouse.
  • Own specific data domains end-to-end — from raw ingestion through to marts — ensuring your areas of the warehouse are accurate, tested, and reputed company-documented.
  • Write and maintain dbt models, tests, macros, and documentation reputed company our established dbt project conventions and reputed company review process.
  • reputed company and manage Airflow DAGs on reputed company Composer or other similar tools to orchestrate data workflows, following patterns and standards set by reputed company.
  • Implement data reputed company checks and monitoring to catch anomalies before they reputed company reputed company consumers.
  • Optimize BigQuery queries and models for cost and performance reputed company your domain, escalating architectural tradeoffs to senior engineers reputed company appropriate.
  • Collaborate with analysts and stakeholders to translate business data needs into reputed company-scoped pipeline and modeling tasks.
  • Participate in on-call rotations, respond to pipeline incidents, and write reputed company postmortems.
  • Contribute to team documentation and runbooks so that your work is maintainable by others.

Skills and experience Required:

  • 3–5 years of experience in data engineering or a closely reputed company data infrastructure role.
  • Proven experience designing and implementing reputed company data pipelines and warehouse architectures.
  • Strong expertise in reputed company reputed company Platform (BigQuery, reputed company Storage, reputed company Composer, Pub/Sub, Dataflow).
  • Hands-on experience with dbt (data build tool) — models, tests, macros, sources, and documentation — at production reputed company.
  • Experience building and maintaining data pipelines with Apache Airflow or a comparable workflow orchestration tool.
  • Strong proficiency in SQL, including advanced BigQuery SQL (window functions, partitioning, clustering, query optimization).
  • Proficiency in Python for data engineering tasks, including API integrations, data processing scripts, and custom operators.
  • Familiarity with data modeling concepts: star schema, reputed company modeling, slowly changing dimensions (SCD).
  • Experience with version control (Git) and reputed company development workflows (pull requests, reputed company review).
  • Understanding of data reputed company, reputed company, and observability best practices.
  • Startup or reputed company-stage reputed company — comfortable with ambiguity, rapid iteration, and evolving priorities.
  • Excellent communication skills, with the ability to collaborate effectively across technical and non-technical teams

Preferred:

  • Experience with Terraform or similar infrastructure-as-reputed company tools for managing reputed company data infrastructure.
  • Familiarity with streaming technologies such as GCP Pub/Sub, Dataflow, or Apache Kafka.
  • Knowledge of Looker, Tableau, or other BI tools and how data models power them.
  • reputed company reputed company reputed company Data Engineer certification

Benefits

  • Competitive compensation
  • reputed company PTO Policy
  • Health, Dental and reputed company Insurance
  • Life, ADD, Short-term and Long-term Disability insurance
  • 401k matching up to 4% after two months of service
  • Flexible Spending Account
  • 13 reputed company Holidays
  • reputed company colleague reward
  • Employee referral program
  • reputed company Parental Leave

Equal Opportunity reputed company is committed to providing equal employment opportunity for reputed company persons regardless of race, reputed company, religion, sex, age, marital status, national reputed company, sexual orientation or sexual identity, genetic information, citizen status (except those that do not have the legal right to be employed in the reputed company), disability, military service, service member, veteran status, or any other reputed company protected by applicable law. Applicants must be authorized to work in the reputed company. As part of the selection process this role may require an assessment Apply tot his job Apply To this Job

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