Sr Staff Data Engineer

Position Overview

Responsible for leading the requirements, design, development, and implementation of data engineering and analytics solutions to support cybersecurity initiatives. This role supports data analysts, solution architects, data engineers, and product managers in delivering analytical and reporting solutions, while ensuring data integrity and leveraging analytics to identify and mitigate cyber threats. You will collaborate with cross-functional teams across cybersecurity, IT, and business units to deliver high-quality, scalable solutions aligned with organizational goals.

Key Responsibilities

• Handle multiple projects across various data domains.
• Execute data strategy aligned with organizational goals.
• Gather requirements, design, and implement scalable data pipelines for large volumes of cybersecurity data.
• Develop and maintain data models, schemas, and architectures to support analytics and reporting.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Collaborate with data analytics and visualization teams for designing dashboards, reports, and visualizations.
• Manage the ETL framework ensuring quality and timeliness of data ingestion and transformation jobs.
• Drive reusability and extensibility of overall data architecture while maintaining technical data dictionaries and supporting business glossaries.
• Lead data profiling, analysis, and standardization of automated ETL jobs, and streamline data feeds to downstream systems.
• Build and enforce Data Quality (DQ) rules.
• Provide technical guidance and mentorship, participate in evaluating and implementing new tools and technologies.

Required Qualifications

• Bachelor’s degree from an accredited institution with a minimum of 5 years of professional experience OR Associates degree with 8 years OR High School Diploma with 10 years of professional experience.
• Minimum 5 years of professional experience in data engineering.
• Legal authorization to work in the U.S. (no sponsorship available).
• Extensive experience in data engineering, analytics, and cybersecurity domains.
• Proficiency in programming languages such as Python or Java and expertise in cloud platforms (e.g., AWS, Azure).
• Strong hands-on experience with tools like AWS Glue, AWS Crawlers, Amazon S3, and automated ETL solutions.
• Familiarity with SQL scripting for databases including Oracle, MySQL, and PostgreSQL.

Preferred Qualifications

• Experience with machine learning frameworks and LLMs (e.g., AWS Bedrock, AWS SageMaker).
• Familiarity with cybersecurity tools like SIEM, IDS/IPS, and threat intelligence platforms.
• Certifications such as CISSP, CISM, or AWS Certified Data Analytics.
• Exposure to cyber data domains and unstructured datasets (XML, JSON formats).

Benefits & Perks

• Compensation: Base pay range of $127,900.00 - $170,500.00 USD Annual plus eligibility for an annual discretionary bonus based on performance.
• Healthcare benefits including medical, dental, vision, and prescription drug coverage along with access to a Health Coach and 24/7 nurse-based resources.
• Retirement benefits such as the GE Retirement Savings Plan with company matching contributions and access to Fidelity resources.
• Additional benefits including tuition assistance, adoption assistance, paid parental leave, disability and life insurance, and paid time-off for vacation or illness.