Senior Data Engineer

iDC Logistics, Inc. is hiring a Senior Data Engineer for an onsite role in the City of Industry, CA . This position focuses on taking a data platform into production with dependable operations, secure access control, and production-ready transformations, while also delivering scoped data work within established patterns. You can expect a role that combines operational ownership (deployments, monitoring, incident response) with engineering depth (SQL, Python, dbt-style modeling, and production data pipeline reliability). If you enjoy building systems that other teams can depend on, and you’re comfortable validating outputs against legacy reporting and billing figures, this is a strong fit. Responsibilities Own environment setup and management , including refresh and orchestration , monitoring and alerting , and incident response for a platform supporting production report delivery and billing. Manage security-role hierarchies and grants , along with performance and maintenance . Maintain pipeline automation and environment promotion so releases stay routine and reliable. Build staging and gold dbt models using defined business semantics and existing conventions, including tests . Flag requests that would conflict with established definitions to protect data consistency. Review teammates’ work, including AI-generated code , for correctness and adherence to standards. Analyze and absorb legacy and vendor source systems , and systems with undocumented schemas , as an ongoing part of the work. Validate that new platform outputs match legacy system reporting and billing figures before cutover. Requirements Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or related field. 7+ years designing, developing, and maintaining large-scale data pipelines and data warehouse solutions. SQL at working depth, including joins, window functions, grain and aggregation tradeoffs, NULL semantics, and reasoning about why a query returns what it returns. Production Python : experience writing and maintaining Python code that ran in production. Pipeline experience : ownership of scheduled production pipelines, including diagnosing and fixing failures. Transformation framework : working depth in at least one modern framework. dbt preferred ; SQLMesh, Dataform, Coalesce, Databricks declarative pipelines, or a comparable in-house framework also qualify. Production operations : responsibility for running systems, including deployments, environment management, on-call or equivalent, and incident response. Dimensional modeling : grain, facts and dimensions, conformance, and slowly-changing history. Git-based workflow : branching, pull requests, code review, and CI. Communication : clear writing, conversation, and presentations, including explaining technical findings to non-technical stakeholders. Independent problem-solving : investigate unfamiliar problems substantially before escalating. AI tooling : uses AI tools routinely for research, design, and verification; builds tooling for personal workflow; verifies AI output before relying on it. Technologies SQL , Python , dbt , SQLMesh , Dataform , Coalesce , Databricks declarative pipelines , Git , Azure (Data Factory) , Azure (ADLS Gen2) , Azure (Key Vault) , AWS , GCP , Snowflake , Terraform Benefits Medical, dental, and vision insurance Basic and voluntary life and voluntary ancillary coverages for accident, critical illness and hospital indemnity Paid sick leave Bereavement pay Holiday and vacation pay 401k plan eligibility on the first day of the third month following hire date 401(k) 401(k) matching Dental insurance Employee assistance program Flexible spending account Health insurance Health savings account Life insurance Paid time off Professional development assistance Referral program Vision insurance Preferred Qualifications Multi-tenant or customer-facing data experience (isolation, audit, lineage) Azure (Data Factory, ADLS Gen2, Key Vault); AWS or GCP experience transfers Snowflake Terraform or equivalent infrastructure-as-code Legacy and vendor-system reverse-engineering Logistics, supply-chain or warehousing domain experience Familiarity with BI tools Compensation: USD 140,000 - 180,000 per year. #J-18808-Ljbffr