Wells Fargo · 12 hours ago
Principal Data Engineer
112265-NJ-MetroPark, Iselin
Full-time
Onsite
Senior Level, Lead/Staff
$159K/yr - $305K/yr
7+ years expWells Fargo is seeking a Principal Engineer in Technology as part of Cybersecurity. The role involves designing, building, and optimizing data pipelines to enable data-driven security outcomes, collaborating with various teams to transform raw security data into high-quality datasets for detection and analysis.
BankingFinancial ServicesFinTechInsurancePayments
Responsibilities
Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Design, develop, and maintain scalable ETL/ELT pipelines (batch and real-time/streaming) to ingest, process, enrich, and transform high-volume security, fraud, transaction, and operational data from diverse sources (SIEM, EDR, cloud logs, mainframe, payment networks, APIs, third-party threat feeds, etc.)
Build and optimize data models, data marts, and feature stores optimized for security analytics, fraud scoring, behavioral modeling, graph-based link analysis, and threat detection use cases
Implement data quality, validation, reconciliation, and monitoring frameworks to ensure reliability of datasets used in production security & fraud systems
Ensure data security & compliance throughout the pipeline — including encryption at rest/transit, data masking, access controls (RBAC/ABAC), lineage tracking, and audit logging — while meeting financial regulatory standards
Collaborate with security data scientists and ML engineers to productionize features for anomaly detection, supervised/unsupervised fraud models, and cyber threat intelligence correlation
Partner with platform & infrastructure teams to deploy and manage data infrastructure in cloud environments (AWS, Azure, GCP) using modern data stack tools
Participate in on-call rotation to support critical production pipelines that power real-time fraud prevention and security monitoring
Contribute to architecture decisions, technical roadmaps, and proof-of-concepts for emerging technologies in data-driven security (e.g., lakehouse architectures, zero-trust data access, federated querying)
Qualification
Required
7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Strong proficiency in Python and/or Scala for data engineering tasks
Hands-on experience with big data technologies: Spark (PySpark/Spark SQL), Kafka (or equivalent streaming), Airflow or similar orchestration
Solid SQL skills and experience modeling complex analytical datasets (star/snowflake schemas, slowly changing dimensions, denormalized structures for analytics)
Experience with cloud data platforms (Snowflake, Databricks, BigQuery, Redshift, Delta Lake / Iceberg) and modern data lake/lakehouse architectures
Familiarity with real-time/streaming data processing patterns and tools
Understanding of data governance, data lineage, and security best practices in regulated industries
Preferred
Domain knowledge in financial crime, fraud detection, cybersecurity analytics, AML, or payments risk
Bachelor's or Master's degree in Computer Science, Engineering, Information Security, or related quantitative field (or equivalent experience)
Experience building pipelines for SIEM/SOAR data, network telemetry, endpoint logs, authentication events, or transaction monitoring
Exposure to graph databases (Neo4j, TigerGraph) or link-analysis techniques for fraud/security
Familiarity with ML feature stores or MLOps patterns in security use cases
Certifications such as AWS/GCP/Azure Data Engineer, CISSP, CISM, or financial crime-related credentials (CAMS, CFE) are a plus
Benefits
Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement
Company
Wells Fargo
Wells Fargo & Company is a financial services firm that provides banking, insurance, investments, and mortgage services.
10001+ employees
H1B Sponsorship
Wells Fargo has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-10-06IPO
Leadership Team
Charlie Scharf
CEO
Fernando Rivas
CEO of Corporate & Investment Banking
Recent News
2026-01-24
2026-01-23
Company data provided by crunchbase