Senior Data Engineer, Forensics - Global Security Organization

he data engineer for forensics builds and maintains robust data pipelines that ensure data is collected, processed, and produced in a forensically sound and legally defensible manner

Responsibilities:

• Big data management: Architect and manage large-scale data storage solutions like data lakes and warehouses to handle petabytes of data from servers, network devices, and cloud environments.
• Data integrity and chain of custody: Ensure the integrity of the data is maintained throughout the entire e-discovery lifecycle. This includes documenting and maintaining a secure chain of custody to ensure the data is admissible in court.
• Data management and loading: Ingest, integrate, and organize processed data into review platforms for attorneys to analyze. This includes handling various native file formats and metadata.
• Workflow automation: Build and maintain data pipelines to automate and orchestrate e-discovery processes, including data ingestion, processing, and production. This increases efficiency and reduces manual errors.
• Processing and culling: Use specialized e-discovery software (e.g., Relativity, Nuix) to process massive datasets by filtering, de-duplicating, and preparing the data for review. The engineer applies advanced search techniques to cull the data and reduce the volume of information for legal review.
• Create requirements, work with stakeholders to design, implement, and deploy security tools, to improve the efficiency of forensics

Qualifications

Minimum Qualifications:

• Programming: Strong proficiency in Python for building automated data pipelines and scripts.
• Database expertise: In-depth knowledge of SQL, as well as NoSQL databases, and experience with database architecture and data modeling.
• Big data frameworks: Experience with tools like Apache Spark and Kafka for processing and streaming large volumes of data.
• Cloud computing: Proficiency with cloud platforms such as AWS, Azure, and Google Cloud, which are often central to large-scale data investigations.
• Forensic tools: Knowledge of both traditional forensic tools (e.g., FTK, EnCase, Autopsy, Relativity, Nuix) and how to integrate their outputs into a larger data processing system.

Preferred Qualifications:

• 5+ years of applicable experience in Data Engineering, Programming etc
• Digital forensics process: A clear understanding of the standard digital forensics process, including the phases of acquisition, preservation, analysis, and reporting.
• Legal and ethical compliance: Knowledge of relevant laws, regulations (like GDPR and CCPA), and ethical considerations surrounding digital evidence collection and privacy.
• Chain of custody: An understanding of the strict procedural requirements for maintaining the integrity and legal admissibility of digital evidence.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $187040 - $359720 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.