Senior Data Engineer

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Senior Consultant you will:

• 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.

The team

Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

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.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html