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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Astronautics Corporation of America. - **Location:** Oak Creek, WI, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Cloud Storage, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Dataspaces, Data Systems, Data Warehousing, Relational Databases, Software Debugging, Distributed Systems, Data Flow Control, Python (Programming Language), Machine Learning, Metadata Repositories, NoSQL, Performance Tuning, Systems Development Life Cycle, Cloud Services, Cloudera, Scala (Programming Language), SQL Databases, Data Streaming, Workflow Management Systems, Google Cloud, Data Storage Technologies, Containerization, Data Lakes, Kubernetes, Information Technology, Data Management, Dynamic Data, Stream Processing, Data Pipelines, Docker - **Published:** September 18, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88360157/1 ## About the Role * Must be a U.S. person as defined under U.S. export regulations. * Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field from an accredited institution. * Minimum three years of professional experience in a Data Engineer or similar role, with a strong focus on building scalable data platforms. * Strong proficiency in SQL and expertise in at least one major programming language for data engineering (e.g., Python, Java, Scala). Python is highly preferred. * Hands-on experience with cloud data platforms (e.g., Google Cloud Platform, AWS, Azure), including their core data storage, processing, and orchestration services. * Solid understanding of data warehousing concepts, distributed systems, ETL/ELT and modern data architecture principles. * Familiarity with workflow orchestration tools (e.g., Apache Airflow, Prefect, Dagster). * Strong analytical, problem-solving, and debugging skills. * Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences. Desired * Master's degree in a relevant field from an accredited institution. * Experience with specific GCP services (BigQuery, Dataflow, Cloud Storage, Airflow, Cloud Composer, Dataproc, Data Catalog). * Experience with CI/CD concepts via containerization (Docker) and orchestration (Kubernetes). * Knowledge of machine learning concepts and how data engineering supports ML model development and deployment. * Experience with data governance frameworks and tools. * Cration of SDLC/ADLC policies, processes and procedures. ## Description We are seeking a highly skilled and motivated Data Engineer to join our dynamic data team. In this critical role, you will be responsible for designing, building, and maintaining robust, scalable, and efficient data infrastructure and pipelines across our entire data ecosystem. You will transform raw data into high-quality, accessible datasets that empower our data scientists, analysts, and business stakeholders to derive meaningful insights and make data-driven decisions. This hybrid on-site position is located at our headquarters in Oak Creek, WI. You will report directly to the Senior Manager, Business Intelligence. How You Will Do It: * Data Architecture Design: Design, implement, and optimize scalable data architectures, including data lakes, data warehouses, and streaming platforms, to support current and future analytical and operational needs. * End-to-End Data Pipeline Development: Build, test, and maintain complex ETL/ELT pipelines for both batch and real-time data processing, ensuring data accuracy, consistency, and reliability from source to consumption. * Technology Evaluation & Implementation: Research, evaluate, and integrate new data technologies, tools, and frameworks (e.g., big data processing engines, cloud services, orchestration tools) to enhance our data platform capabilities. * Performance Optimization: Continuously monitor and optimize data pipeline performance, scalability, and cost efficiency, ensuring efficient data flow and delivery at scale. * Data Modeling & Storage: Implement effective data models and manage various data storage solutions (e.g., relational databases, NoSQL databases, object storage). * Data Governance & Security: Implement and enforce data quality checks, validation rules, and security measures to ensure data integrity, privacy, and compliance with organizational policies. * Cross-Functional Collaboration: Work closely with data architects, data modeler, BI Specialists, data analysts and business stakeholders to understand data requirements, provide technical guidance, and deliver data solutions that align with business objectives. ## 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) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## 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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers)