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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Senior Consultant - **Company:** Ernst & Young LLP - **Location:** United States - **Experience:** Expert - **Salary:** $106,900.0 - $176,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, SC Clearance, Data Analytics, Low-code, Data Pipelines, Databricks - **Published:** August 8, 2026 - **Apply:** https://www.dice.com/job-detail/63fc3efc-71f3-4ab8-932c-4e0a665d361b ## About the Role We're seeking a highly motivated Senior Engineer to support a DOD client in the design, development, and deployment of data analytics, business intelligence, workflow automation, and low-code application solutions. This individual will work directly with the client and civilian government stakeholders to transform business requirements into actionable analytics, dashboards, and mission-support applications that improve operational effectiveness, transparency, and decision-making., Demonstrated experience designing, developing, and maintaining enterprise data pipelines within modern cloud data environments, including implementation of medallion architecture (Bronze, Silver, Gold) and automated ETL/ELT workflows. Experience integrating data from multiple authoritative systems and enterprise platforms (e.g., Maximo, iNFADs, EDW, Databricks/Jupiter) using APIs, automated ingestion patterns, and data transformation frameworks to produce trusted, analysis-ready data products. Experience implementing data quality controls, lineage, monitoring, alerting, and operational support processes that improve traceability, governance, and reliability of mission-critical datasets. To qualify for the role, you must have Must be eligible to obtain and maintain a Secret Clearance Must have bachelor's degree 3-5 years of related experience within AI & Data Must be comfortable working in-person as needed Experience designing, developing, and maintaining enterprise data pipelines within modern cloud data environments, including implementation of medallion architecture (Bronze, Silver, Gold) and automated ETL/ELT workflows. Experience integrating data from multiple authoritative systems and enterprise platforms (e.g., Maximo, iNFADs, EDW, Databricks/Jupiter) using APIs, automated ingestion patterns, and data transformation frameworks to produce trusted, analysis-ready data products. Data quality control experience, lineage, monitoring, alerting, and operational support processes Ideally, you'll also have Experience with Palantir Foundry data integration, ontology enablement, data materialization, and supporting the movement of curated data products into Foundry operational environments. Experience with Databricks, including pipeline orchestration, data engineering best practices, and integration of Databricks outputs with downstream analytics and decision-support platforms. Due to the nature of our work in the Government and Public Sector, work may be required to be completed at client, EY and/or contractor sites. Our goal is to assign professionals to projects within a commutable distance of their work location office. In certain circumstances, travel may be required beyond your work location based on client and project needs. Candidates should be willing to travel 20 - 30% or more. What we look for We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Reimagining app development with Low-code and AI](https://www.wearedevelopers.com/videos/1651-reimagining-app-development-with-low-code-and-ai) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [What If Apps Built Themselves? 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