Automation Engineer

As an Automation Engineer with a focus on data management, you will design, implement, and maintain automated processes that enhance our data management systems. You will work closely with cross-functional teams to optimize data workflows, ensure efficient data integration, and automate routine data tasks to improve productivity and data accuracy. The role requires an in-depth understanding of both automation frameworks and data management principles.

Key Responsibilities:

• Design and develop automation scripts and workflows for data collection, cleansing, transformation, and integration.
• Create automation tools and systems to streamline data management processes, including data ingestion, storage, and reporting.
• Implement automated data validation checks to ensure data integrity and consistency.
• Integrate and automate data pipelines from various internal and external data sources.
• Collaborate with IT and data engineering teams to automate data workflows across multiple platforms and databases.
• Continuously monitor and optimize the performance of automated data processes to ensure scalability and efficiency.
• Identify bottlenecks and areas for improvement in current data management systems and propose automation solutions.
• Develop and implement automation tools to ensure data quality, accuracy, and timeliness.
• Perform regular audits of automated processes to ensure compliance with data standards and best practices.
• Collaborate with cross-functional teams (data scientists, analysts, business units) to understand their data needs and ensure automated solutions align with business objectives.
• Document automation procedures, code, and workflows to ensure knowledge sharing and maintainability.
• Troubleshoot automation failures and address issues related to data processes, ensuring quick resolution and minimal disruption.
• Maintain and update automation scripts as data structures and systems evolve.

*Position is contingent upon Spring 2025 contract award*

Required Skills & Qualifications:

• TS/SCI with Polygraph level clearance is required.
• BA/BS and 5+ years of experience; Masters and 3+ years of experience; an additional four years of experience may be considered in lieu of degree.
• Proven experience as an Automation Engineer, Data Engineer, or in a similar role, with a focus on data management.
• Strong programming skills in languages such as Python, Shell Scripting, or similar.
• Experience with automation frameworks (e.g., Jenkins, Airflow, or similar) and version control tools (e.g., Git).
• Proficiency in working with databases (SQL, NoSQL) and cloud platforms (AWS, Azure, GCP) for data storage and processing.
• Solid understanding of data management principles, including data integration, ETL (Extract, Transform, Load) processes, and data validation.
• Experience with data pipelines and data orchestration tools.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills to work with multidisciplinary teams.

Preferred Skills & Qualifications:

• Familiarity with machine learning pipelines and data automation in an AI-driven environment.
• Experience with data visualization tools (Tableau, Power BI, etc.) for automated reporting.
• Knowledge of DevOps practices and CI/CD pipeline integration for data automation.
• Advanced knowledge of cloud-native tools for data processing (e.g., AWS Lambda, Google Cloud Functions).