The Cyber Data Analytics chapter within the Enterprise Cybersecurity organization is looking for a Senior Data Engineer to enhance data protection through scalable data solutions. This role involves building complex data pipelines and sophisticated data modeling to support high-impact analytics for executive decision-making. The team is composed of diverse professionals dedicated to innovation in cybersecurity analytics. The position requires a proactive approach to data integrity and security.

• Bachelor’s or Master’s degree in computer science, Engineering, or a related technical field.
• 7+ years of relevant work experience in data engineering or architecture.
• Strong SQL skills and knowledge of multiple RDBMS, specifically Snowflake, Postgres, SQL Server, and Oracle.
• Proven experience building data pipelines using Python, with knowledge of NiFi and dbt being advantageous.
• Experience in building Power BI Reports that transform data into visually appealing formats.
• Hands-on knowledge of AWS infrastructure, including S3, EC2, RDS, EKS, Batch, and CloudFormation.
• Deep understanding of data modeling principles, specifically 3NF and Star Schema models.
• Experience with CI/CD workflows using Jenkins and GitHub for automated deployment.
• Familiarity with workload scheduling and orchestration tools like Control-M.
• Proven data analysis skills to ensure data quality such as accuracy, consistency, and completeness.

• Design and build scalable data solutions, including data processing pipelines, migrations, and complex data modeling.
• Identify new development opportunities within a scalable public Cloud environment to enhance organizational capability.
• Collaborate with product owners and business partners to translate high-level requirements into actionable technical tasks.
• Analyze and manipulate datasets to ensure rigorous data integrity, accessibility, and security throughout the entire lifecycle.
• Serve as a technical mentor and thought leader, providing guidance and innovative solutions to the broader team.
• Integrate automated testing and continuous validation into the sprint cycle to ensure production reliability.
• Develop end-to-end solutions using distributed platform design patterns and modern analytics technologies.
• Support and enhance production systems, focusing on high performance, speed, and overall system reliability.

• Fidelity offers competitive compensation, annual bonuses, retirement contributions, comprehensive healthcare coverage, parental leave, tuition assistance, wellness programs, and extensive professional development opportunities.