Deloitte · 3 days ago
Senior Data Engineer
Deloitte is a leading professional services firm that focuses on transforming technology platforms and driving innovation. As a Senior Data Engineer, you will design and maintain scalable ETL data pipelines and ensure data quality while supporting supply chain optimization initiatives.
AccountingConsultingFinancial ServicesLegalProfessional ServicesRisk Management
Responsibilities
Design, build, and maintain scalable ETL data pipelines in data platforms using PySpark, SQL, and Pipeline Builder to ingest, integrate, and transform supply chain data (inventory, logistics, procurement, distribution, operations)
Translate supply chain business requirements into well-defined data products (tables, views, curated datasets) by partnering with supply chain SMEs, analysts, and stakeholders to ensure fit-for-purpose outputs
Develop and maintain a supply chain data ontology by defining core data objects, relationships, and events/actions (e.g., item, location, order, shipment, lead time) to enable enterprise-wide analysis and scenario modeling
Implement automated workflows that support supply chain scenarios (e.g., inventory rebalancing, transportation routing, supplier performance) and enable near-real-time and predictive analytics consumption
Optimize pipeline performance and cost through partitioning strategies, incremental processing, query tuning, and efficient data modeling to meet SLAs and analytics latency expectations
Monitor and troubleshoot data pipelines end-to-end by setting up alerts, investigating failures, performing root-cause analysis, and deploying fixes to restore data availability quickly
Ensure data quality and reliability by implementing validation rules, reconciliation checks, and anomaly detection for key supply chain measures (e.g., on-hand, demand, service level, lead time, OTIF)
Support supply chain optimization initiatives by preparing clean, well-documented datasets and features for data science and operations research models and partnering on deployment into production workflows
Qualification
Required
Bachelor's degree required
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
8+ years of experience as a Data Scientist, or Data Engineer
5+ years building and operating data pipelines and data products for analytics/AI use cases
4+ years of experience in leading and delivering data driven client solutions
4+ year of experience developing ETL pipelines using PySpark
Active Secret security clearance required
Ability to work onsite 100% of the time in Huntsville, AL
Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred
Knowledge of Palantir Foundry platform and suite of capabilities
Previous Supply chain domain experience preferred
Strong problem-solving and design skills
Experience with software delivery methodologies such as agile/scrum
Strong communication and presentation skills
Company
Deloitte
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services.
Funding
Current Stage
Late StageLeadership Team
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