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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ETL Developer - **Company:** Kentro LLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Software Applications, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Security, Data Warehousing, Software Debugging, Distributed Computing Environment, Document-Oriented Databases, Apache Hadoop, Python (Programming Language), PostgreSQL, Meta-Data Management, Microsoft SQL Server, MongoDB, MySQL, Azure Machine Learning, SAP (Applications), Scala (Programming Language), PL-SQL, SQL Databases, Workflow Management Systems, Data Processing, Data Storage Technologies, Cloud Platform System, Real Time Systems, Apache Spark, Indexer, Git, Containerization, Data Lakes, Information Technology, Data Lineage, Luigi, Cassandra, Apache Kafka, Non-relational Database, Data Management, Tools for Reporting, Software Version Control, Data Pipelines, Docker, Programming Languages - **Published:** August 11, 2026 - **Apply:** https://www.dice.com/job-detail/a4e7cfa4-1385-415a-b251-aeae8df09c32 ## About the Role You may be a great fit if you have experience with: Experience using PL/SQL, System Applications and Products (SAP) Data Services, Python, SQL, Airflow, and Glue. Bachelor's degree (master's preferred, but not required) in computer science, engineering, or related field. A minimum of 4 years of relevant data engineering experience. Experience supporting ETL systems in enterprise or regulated environments. Strong understanding of data modeling, ETL (Extract, Transform, Load) processes, and data architecture principles. Preferable in-depth knowledge of Palantir Foundry, including its ontology, data lineage, pipeline development, and data governance features. Proficiency in relational and non-relational database systems (e.g., SQL Server, PostgreSQL, MySQL, MongoDB, Cassandra). Familiarity with cloud data services, especially AWS (e.g., Redshift, Glue, S3, EMR) and Azure (e.g., Data Lake, Synapse, Data Factory). Knowledge of big data technologies and distributed computing frameworks (e.g., Apache Spark, Hadoop, Kafka). Understanding of data warehousing concepts, star/snowflake schemas, and data mart design. Awareness of data governance, data privacy, security, and compliance standards (e.g., NIST, FISMA, General Data Protection Regulation (GDPR), FAA if applicable). Familiarity with programming languages used in data engineering (e.g., Python, SQL, Scala, Java). Knowledge of workflow orchestration and automation tools (e.g., Apache Airflow, Luigi). Ability to design, build, and maintain scalable data pipelines for batch and real-time processing, preferably including within the Palantir Foundry platform. Skilled in developing robust ETL/ELT processes to ingest, cleanse, transform, and load data from diverse sources preferably using Foundry's code workbooks, pipelines, and data transformation tools. Proficiency in writing efficient, maintainable SQL, Python, and preferably Foundry-specific logic for data manipulation and integration. Ability to optimize data storage, retrieval, and indexing for performance and cost-effectiveness, preferably leveraging both Foundry and cloud-native solutions. Experience in integrating data solutions with AI/ML platforms and analytics tools for downstream consumption, preferably including leveraging Foundry's integration capabilities. Skilled in troubleshooting, debugging, and resolving data pipeline and infrastructure issues preferably within Palantir Foundry and other environments. Proficient in implementing data quality, monitoring, and validation frameworks preferably using Foundry's tools and APIs. Experience with version control (e.g., Git), CI/CD pipelines, and containerization (e.g., Docker) for deploying data engineering solutions. Ability to document data flows, schemas, and engineering processes for reproducibility and compliance, preferably including using Foundry's collaborative documentation features. Ability to collaborate effectively with data scientists, analysts, software engineers, and business stakeholders, including cross-functional teams.. Ability to translate business and analytics requirements into scalable data engineering solutions preferably within Palantir Foundry and broader cloud ecosystems. Ability to manage multiple projects, prioritize tasks, and deliver results within deadlines. Ability to maintain awareness of emerging data engineering technologies and best practices, preferably including continuous learning on Foundry platform updates. Ability to ensure data security, integrity, and compliance in all data engineering activities, preferably leveraging Foundry's data governance features. Ability to communicate technical information clearly to both technical and non-technical audiences., Preferred (but not required) experience in regulated industries (aviation, healthcare, government, finance). Preferred (but not required) familiarity with data catalog and metadata management tools, preferably including Foundry's data ontology and asset cataloging. Clearance Requirement: . Must comply with FAA System and access requirements Must meet updated ID requirements: * If you do not currently meet the ID requirements outlined, you must be willing and able to update your current forms of ID in a timely manner to complete the suitability process successfully. ## Description Kentro is always interested in connecting with cleared professionals supporting mission-focused work in FAA Governance. The ETL Developer maintains and modernizes data integration workflows across legacy and cloud platforms. This role supports existing ETL in the on-premise data platforms while transitioning data pipelines to modern, cloud-based patterns aligned with cloud-based platforms supporting the Federal Aviation Administration (FAA). ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [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) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)