Senior Data Engineer
<p>We are seeking a <strong>Senior Data Engineer</strong> to join a highly collaborative, hands-on team in West Hollywood. This is an on-site role for someone who enjoys building, owning, and evolving data platforms end-to-end. You’ll work closely with technical and non-technical stakeholders, take ownership of complex data challenges, and help drive cross-functional initiatives.</p><p>This role requires someone who is curious, independent, and comfortable rolling up their sleeves to solve foundational and ambiguous problems.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain scalable data pipelines using Python and SQL</li><li>Develop and manage cloud-based data infrastructure (GCP, AWS, or Azure)</li><li>Own data orchestration workflows (Prefect preferred; Airflow or Dagster experience is transferable)</li><li>Implement robust data modeling practices (dbt preferred; strong SQL foundations required)</li><li>Reconcile multiple data sources and establish master data management strategies</li><li>Partner with stakeholders to define requirements, track deliverables, and run cross-functional projects</li><li>Support containerized workloads and data services using Docker and Kubernetes</li><li>Evaluate and integrate low-code or no-code data syncing tools where appropriate</li></ul><p>What We’re Looking For</p><ul><li>Someone who takes ownership and can be “pointed at a problem” and run with it</li><li>A builder who enjoys both strategy and execution</li><li>A strong data engineering foundation with curiosity about modern AI-enabled architectures</li></ul><p>If you’re excited about building resilient data systems, collaborating cross-functionally, and pushing into AI-enhanced data platforms—this role offers the opportunity to make a meaningful impact from day one.</p><p><br></p><p>For immediate consideration, direct message Reid Gormly on LinkedIN and Apply Now!</p>
<p>Required Qualifications</p><ul><li>Bachelor’s degree or higher in a relevant field</li><li>4–7+ years of professional experience in data engineering</li><li>Strong Python and SQL skills (including complex joins and performance optimization)</li><li>Experience building production-grade data pipelines</li><li>Hands-on experience with at least one major cloud platform (GCP, AWS, or Azure)</li><li>Excellent communication skills and the ability to work directly with stakeholders</li><li>Proven stability in prior roles (no frequent job hopping)</li><li>Strong critical-thinking skills and comfort tackling foundational data questions</li></ul><p>Nice to Have / Highly Valued</p><ul><li>Experience with AI-driven data projects, agents, or automation frameworks</li><li>Exposure to graph or relational graph databases (e.g., Neo4j), ontology layers, or knowledge graphs</li><li>Familiarity with sub-agent automation or agent-based system design</li><li>Experience designing systems that integrate traditional data engineering with emerging AI workflows</li></ul><p><br></p>
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- Beverly Hills, CA
- onsite
- Permanent
-
170000.00 - 220000.00 USD / Yearly
- <p>We are seeking a <strong>Senior Data Engineer</strong> to join a highly collaborative, hands-on team in West Hollywood. This is an on-site role for someone who enjoys building, owning, and evolving data platforms end-to-end. You’ll work closely with technical and non-technical stakeholders, take ownership of complex data challenges, and help drive cross-functional initiatives.</p><p>This role requires someone who is curious, independent, and comfortable rolling up their sleeves to solve foundational and ambiguous problems.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain scalable data pipelines using Python and SQL</li><li>Develop and manage cloud-based data infrastructure (GCP, AWS, or Azure)</li><li>Own data orchestration workflows (Prefect preferred; Airflow or Dagster experience is transferable)</li><li>Implement robust data modeling practices (dbt preferred; strong SQL foundations required)</li><li>Reconcile multiple data sources and establish master data management strategies</li><li>Partner with stakeholders to define requirements, track deliverables, and run cross-functional projects</li><li>Support containerized workloads and data services using Docker and Kubernetes</li><li>Evaluate and integrate low-code or no-code data syncing tools where appropriate</li></ul><p>What We’re Looking For</p><ul><li>Someone who takes ownership and can be “pointed at a problem” and run with it</li><li>A builder who enjoys both strategy and execution</li><li>A strong data engineering foundation with curiosity about modern AI-enabled architectures</li></ul><p>If you’re excited about building resilient data systems, collaborating cross-functionally, and pushing into AI-enhanced data platforms—this role offers the opportunity to make a meaningful impact from day one.</p><p><br></p><p>For immediate consideration, direct message Reid Gormly on LinkedIN and Apply Now!</p>
- 2026-01-22T15:54:25Z