> Markdown version of [/jobs/ext/3850276-data-engineer-consultant-ai-e](https://www.wearedevelopers.com/jobs/ext/3850276-data-engineer-consultant-ai-e). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer- Consultant AI& E - **Company:** Deloitte T.T.L. - **Location:** Philadelphia, PA, United States - **Experience:** Experienced - **Salary:** $95,000.0 - $112,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Engineering, Information Engineering, Apache Hadoop, SQL Databases, Apache Spark, HybridCloud, Information Technology, Data Analytics, Data Management, Data Pipelines, Databricks - **Published:** October 21, 2026 - **Apply:** https://www.phillyjobs.com/job.asp?id=3462153826&tx=UT545TYI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 4+ years of hands-on experience in Data engineering * Technical - SQL, Azure Databricks, Apache Spark* Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience * Limited immigration sponsorship may be available * Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve, * Analytical/ Decision Making Responsibilities * Analytical ability to manage multiple projects and prioritize tasks into manageable work products * Can operate independently or with minimum supervision * Excellent Written and Communication Skills * Ability to deliver technical demonstrations ## Description * Build low level data pipeline specifications in Databricks and Apache Hadoop using SparkUnit test the data pipelines * Work with other team members (onshore/ offshore) to co-ordinate the buildout of the integration * Support SIT and UAT * Support pipeline deployment * Support post-production maintenance and monitoring * Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management The Team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.