Staff Data Engineer

Bachelor’s degree in Computer Science, Information Systems, or a related field.
7+ years of Data Security Engineer or a similar role, with a strong focus on data security and compliance.
In-depth knowledge of compliance frameworks and regulations, such as SOX, ISO, NIST, GDPR etc.
Proficiency in programming languages such as Python and SQL, with experience in leveraging these languages for data engineering tasks.
Strong experience with version control systems like GitHub and working collaboratively in a team environment.
Hands-on experience with cloud-based data platforms, such as Redshift and Databricks.
Proven experience with AWS services, particularly IAM (Identity and Access Management).
Familiarity with dbt (data build tool) and its application in data modeling and transformation.
Understanding of data encryption, tokenization, and access control mechanisms.
Knowledge of data security best practices, including secure coding practices, vulnerability management, and security incident response.
Experience working in an agile environment, delivering high-quality results within defined sprint cycles.
Strong analytical and problem-solving skills, with an ability to identify and mitigate potential security risks.
Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.

Design, develop and maintain secure data infrastructure, including designing and implementing data pipelines, ETL processes, and data access controls.
Collaborate with cross-functional teams to ensure compliance with relevant industry standards and compliance regimes (e.g., SOX, ISO, NIST etc.), including conducting regular audits and risk assessments.
Implement and maintain data encryption, tokenization, and access control mechanisms to protect sensitive data.
Utilize Python, SQL, GitHub, Redshift, Databricks, and dbt to design and secure data models, queries, and data integration workflows.
Collaborate with FanDuel security teams to identify and mitigate potential vulnerabilities and security risks within data systems and infrastructure.
Stay updated with the latest industry trends, tools, and technologies related to data security and compliance, and make recommendations for process improvements and enhancements.
Participate in agile development practices, including sprint planning, daily stand-ups, and retrospectives, to ensure timely and efficient project delivery.
Collaborate with data engineers to support data initiatives, providing insights and guidance on data security and compliance.
Conduct training sessions, create and share learning materials to educate the engineering teams within and outside of data organization and make them aware of the do’s, don’ts and the latest developments to secure the data infrastructure.

No preferred qualifications provided.