Senior Data Engineer - Power BI

Collaborative culture, meaningful analytics, and hands-on cybersecurity impact await you in this onsite role in Durham, NC. Fidelity Investments invites you to join the Cyber Data Analytics team to build scalable data pipelines, data models, and analytics that support decision making and strengthen cybersecurity efforts. You will work alongside a diverse group of data scientists, analysts, engineers, and cybersecurity experts in an environment that values innovation and problem solving.

Responsibilities

• Fortify data protection product areas by building scalable data solutions, including complex data pipelines, migrations, and sophisticated data modeling.
• Support multiple executive leaders with high-impact analytics for decision-making.
• Identify new development opportunities within a scalable public Cloud environment to enhance organizational capability.
• 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.

Requirements

• 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 (including SnowSQL), Postgres, SQL Server, and Oracle.
• Proven experience building data pipelines using Python, with NiFi and dbt knowledge being a significant advantage.
• Experience in building Power BI Reports that transform data into aesthetically appealing visuals.
• 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 and to identify gaps and anomalies.
• Ability to work independently in an Agile environment (Scrum and Kanban) brings technical stories to completion.
• Excellent communication and presentation skills.

Technologies

• Power BI
• Snowflake
• SnowSQL
• PostgreSQL
• SQL Server
• Oracle
• Python
• NiFi
• dbt
• AWS
• S3
• EC2
• RDS
• EKS
• Batch
• CloudFormation
• Jenkins
• GitHub
• Control-M

The Team

Our Cyber Data Analytics Squad is at the forefront of enterprise cybersecurity, dedicated to providing brand new data analytics solutions. We are part of the Enterprise Cyber Security organization. Our team brings together a diverse mix of skills, including data scientists, analysts, engineers, and cybersecurity experts. Together, we build a dynamic environment that fosters innovation and problem solving.