Data Integration Engineer

Write/edit/maintain code in Python/Bash/PowerShell/etc. Use DevOps tooling in CI/CD workflows to check into source control systems. Utilize Linux, Windows, Containers, and cloud infrastructure. Integrate, develop, and troubleshoot Splunk (and Splunk Apps, generally Python-based) is highly desired. Proven experience as a Data Integration Engineer, ETL Developer, or similar role. Strong proficiency in SQL and experience with database systems (e.g., MySQL, PostgreSQL, SQL Server). Familiarity with ETL tools such as Talend, Informatica, Apache NiFi, or similar. Experience with data modeling and design, data warehousing concepts, and data governance. Strong programming skills in scripting languages such as Python, Java, or similar. Excellent problem-solving skills and the ability to work with complex data structures. Strong communication and collaboration skills, with experience working in cross-functional teams. Ability to work independently and manage multiple tasks in a remote environment.

Design, develop, and maintain data integration processes using ETL tools and frameworks. Collaborate with cross-functional teams to establish data integration requirements and ensure that data flows align with business objectives. Implement data transformation, cleansing, and enrichment processes to enhance data quality and usability. Monitor and troubleshoot data integration workflows to identify and resolve issues promptly. Document data integration processes, data flows, and operational procedures for reference and future improvements. Evaluate new data integration technologies and tools to improve existing processes and ensure scalability. Provide technical support and training to team members on data integration best practices. Work closely with data engineers to optimize data storage and retrieval strategies.