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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Aditi Consulting - **Location:** Covington, KY, United States - **Experience:** Experienced - **Salary:** $124,800.0 - $143,520.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Automation of Tests, Microsoft Azure, Big Data, BigQuery, Software as a Service, Cloud Computing, Cloud Storage, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Database Development, Software Design Documents, Data Flow Control, Github, Python (Programming Language), NoSQL, Scrum Methodology, Service-Oriented Architecture, SQL Databases, Data Streaming, Performance Testing, Feature Engineering, Data Ingestion, Apache Spark, Git, Pyspark, Core Data, Information Technology, Apache Kafka, Data Management, Machine Learning Operations, Software Version Control, Data Pipelines, Databricks - **Published:** September 23, 2026 - **Apply:** https://www.careerjet.com/job/us1002eb39f496e8c6171302bcd1e26884/eaa ## About the Role * Bachelor's degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another STEM degree. * 4+ years of professional Data Development experience. * 4+ years of experience with SQL and NoSQL technologies. * 3+ years of experience building and maintaining data pipelines and workflows. * 2+ years of experience developing with Python. * Experience in feature engineering for machine learning pipelines. * Experience with CI/CD pipelines and processes. * Experience with automated unit, integration, and performance testing. * Experience with version control software such as Git. * Full understanding of ETL and Data Warehousing concepts. * Strong understanding of Agile principles (Scrum)., * Knowledge of Structured Streaming (Spark, Kafka, EventHub, or similar technologies). * Experience with GCP services (or Databricks equivalent) such as BigQuery, Vertex AI Platform, Cloud Storage, AutoMLOps, and Dataflow. * Experience with GitHub SaaS/GitHub Actions. * Experience understanding Databricks concepts. * Experience with PySpark and Spark development. * Experience with Service Oriented Architecture. ## Description Your role will involve collaboration with cross-functional teams, leveraging cutting-edge technologies, and ensuring scalable, efficient, and secure data engineering practices. You'll be working with data across 2 cloud platforms (Azure and GCP) and thus will be working with a wide variety of technologies. A strong emphasis will be placed on expertise in python, Vertex AI, and advanced feature engineering techniques., * Build and Maintain Data Pipelines: Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as Kafka, Databricks, and similar toolsets. * Drive Digital Innovation: Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms. * Implement Feature Engineering: Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools like Vertex AI, BigQuery ML, and custom Python libraries. * Implement Automated Testing: Design and implement automated unit, integration, and performance testing frameworks to ensure data quality, reliability, and compliance with organizational standards. * Optimize Data Workflows: Optimize data workflows for performance, cost efficiency, and scalability across large datasets and complex environments. * Draft and Review Documentation: Draft and review architectural diagrams, interface specifications, and other design documents to ensure clear communication of data solutions and technical requirements., POSITION: Quality Assurance Engineer DEPARTMENT: Quality REPORTS TO: Quality Manager LOCATION: Covington, KY (onsite location) FLSA STATUS: Exempt (Full-Time) Job Summary … + 11 hours ago ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [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) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)