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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & Analytics Engineer - **Company:** Illumination Works - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Automation of Tests, Cloud Engineering, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Structures, Executive Information Systems, Python (Programming Language), Machine Learning, Meta-Data Management, Open Source Technology, Power BI, Cloud Services, Tensorflow, DataOps, Enterprise Data Management, Apache Spark, SC Clearance, Information Technology, Data Analytics, Data Pipelines, Databricks - **Published:** May 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=be305655cbddb936 ## About the Role Do you have experience in Technical documentation?, Do you have a Bachelor's degree?, * 6-8 years of experience in data engineering or analytics engineering * Strong hands-on experience with Palantir Foundry for data analytics and engineering * Strong experience with Python for ETL, analytics, and data transformation workflows * Experience building, maintaining, and troubleshooting data pipelines * Experience designing and implementing APIs and data integration solutions across diverse enterprise data environments * Experience supporting executive dashboards and operational reporting, including familiarity with Power BI integration and analytics data models * Experience with data modeling, schema design, metadata management, and data-centric technical documentation * Understanding of governance frameworks, operational metrics, and KPI-driven executive reporting ecosystems * Understanding of cloud-native data and analytics ecosystems, open-source technologies, machine learning frameworks, and data visualization platforms * Strong written and verbal communication skills, with ability to engage effectively with both technical teams and Air Force leadership stakeholders * Ability to work independently in ambiguous federal consulting environments * Ability to support cross-functional efforts spanning data engineering, analytics, visualization, and enterprise modernization initiatives * Must successfully pass a drug test and background screening * Active Secret clearance required * Bachelor's degree in Computer Science, Mathematics, or a comparable academic discipline; a Master's degree in a relevant field may substitute for 3 years of general experience Preferred Skills: * Experience with Databricks and Spark * Familiarity with DataOps practices, automated testing, and version-controlled workflows * Experience supporting Air Force operational environments ## Description ILW is seeking an experienced data analytics and engineering professional to support advanced analytics, enterprise modernization, and operational decision-support initiatives within complex Air Force and federal consulting environments. The ideal candidate brings strong hands-on experience with Palantir Foundry, modern data engineering practices, and cloud-native analytics ecosystems, along with the ability to communicate effectively with both technical teams and senior Air Force stakeholders. This role requires an active Secret clearance and the ability to operate independently in fast-paced environments. Roles and Responsibilities * Serve as a technical contributor and trusted advisor across an advanced analytics organization, providing expertise in data analytics, engineering, and modern data architectures. * Support and promote the adoption of advanced analytics, data engineering, and AI/ML capabilities across the enterprise. * Design, develop, and maintain scalable data pipelines, integrations, and analytics-ready data structures that support operational and business objectives. * Recommend and implement data architectures and models for ingestion, integration, transformation, analytics, data science, and visualization workflows. * Collaborate with engineers, analysts, executives, program managers, and subject matter experts in both technical and non-technical environments. * Apply strong problem-solving, analytical reasoning, and critical thinking skills to complex technical and operational challenges. * Communicate technical concepts, insights, and recommendations clearly to diverse audiences. ## Related Videos - [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) - [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) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)