Back
Tier-1 employer, mid-level generalist data role in metro with broad skills increases competition.
Core data engineering skills are transferable across industries despite cybersecurity and biotech domain context.
Explicit 5–9 years and mandatory Databricks/AWS/Python/SQL skillset enforce strict candidate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain data pipelines and solutions to support data generation, collection, and processing for cybersecurity data.
Create and manage data workflows, ensuring data quality and security, and develop interactive dashboards and reports for stakeholders using tools like Tableau.
Collaborate with cross-functional teams and data scientists to align data infrastructure with business needs and maintain data governance and compliance standards.
Master’s degree OR Bachelor’s degree with 5 to 9 years of experience in Computer Science, IT, or related field.
Proficiency with big data technologies, ETL processes, SQL, and data sourcing tools.
Experience with cloud platforms, preferably AWS, and knowledge of data security, privacy, and governance frameworks including compliance (e.g., GDPR, CCPA).
Work Experience Required: 5 to 9 years in relevant domain.
Experienced in building scalable data pipelines within cybersecurity or data-driven environments using technologies like Databricks, Python, and cloud platforms.
Skilled at collaborating in Agile and SAFe delivery environments with product teams and data scientists to translate business needs into technical solutions.
Strong understanding of data governance, compliance regulations, and best practices to ensure secure and compliant data handling.