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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Database Engineer & Developer, Security Data - **Company:** MUFG Americas - **Location:** Jersey City, NJ, United States (Remote available) - **Experience:** Expert - **Salary:** $140,000.0 - $203,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Amazon Web Services, Amazon S3, Audit Trail, Microsoft Azure, Big Data, BigQuery, Cyber Security, Information Systems, Computer Programming, Databases, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Normalization, Data Warehousing, Amazon DynamoDB, Intrusion Detection and Prevention, Information Systems Security Architecture Professional, Python (Programming Language), PostgreSQL, Meta-Data Management, MongoDB, NoSQL, Raw Data, Power BI, Security Information and Event Management, SQL Databases, Data Streaming, Tableau (Software), Datadog, Data Ingestion, Snowflake, Data Lakes, Information Technology, Data Analytics, Apache Kafka, Tools for Reporting, Cloudwatch, Splunk, Azure Synapse Analytics, Stream Analytics, GPT, Data Pipelines, Amazon Redshift, Databricks - **Published:** May 31, 2026 - **Apply:** https://mufgub.wd3.myworkdayjobs.com/MUFG-Careers/job/Jersey-City-NJ/Sr-Database-Engineer---Developer--Security-Data_10076640-WD-1 ## About the Role MUFG is seeking a highly motivated Sr. Database Engineer as part of the Security Engineering team to design and implement cutting-edge technology to improve the security posture. This is a senior role that drives security data engineering standards and implementation across global deployment., * At least 10+ years of experience in database engineering with significant focus on security data (logs, scanning, configuration, vulnerability, etc.), analytics, detection and platform engineering. * 8+ years of hands-on experience with various databases including Snowflake, relational (SQL, PostgreSQL, etc.), no-SQL (MongoDB, DynamoDB, etc.) * At least 2+ years of experience with data warehouses and data lakes + Snowflake, Databricks, BigQuery, Redshift, Azure Synapse * At least 1+ years of experience with reporting tools such PowerBI, Tableau, etc. * Familiarity with SIEM products such as Splunk, Cribl, Elastic, Datadog, AWS CloudTrail, cloud watch, Azure event hub, AWS S3, etc. * Familiarity with streaming platforms like Cribl, Kafka, Kinesis, etc. * Solid knowledge of ETL/ELT pipelines and data ingestion processes * Strong programming skills in Python, SQL and/or Java/Scala and JavaScript * Experience with data modeling, data normalization and schema design * Ability to understand, clean, and transform raw data into structure, usable formats * Experience working with large-scale datasets (batch and streaming) * Experience in analyzing raw data and performing data normalization. * Implementing data validation, quality checks and error handling * Understanding of data governance and metadata management * Strong problem-solving and analytical skills * Must have working knowledge of Artificial Intelligence and Machine Learning technologies. + Anthropic, ChatGPT, Gemini, Co-Pilot, etc. * Experience with real-time analytics * Familiarity with BI tools (Power BI, Tableau) * Knowledge of data privacy, compliance and security best practices * Familiar with data standards such as OCSF, OTEL, etc. * Familiar with industry security regulations and frameworks (MITRE Attack Framework, CRI, etc.) * Experience with at least one major cloud provider + AWS, Azure or Google Preferred Certifications: * Certified Information Systems Security Professional (CISSP) * Certified Information Systems Manager (CISM) * Certified Information System Auditor (CISA) * Certified Ethical Hacker (CEH) Other Qualifications: * As per MUFG's Return to Office policy, a candidate must work onsite for 4 days and 1 day remotely out of either Jersey City, NJ, Tampa, FL, or Tempe, AZ office. Education: *Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position. ## Description * Architect, build and maintain high-volume, high-fidelity security data modeling in Snowflake system for detection engineering and threat hunting use cases * Lead the ingestion, normalization, enrichment, and correlation of raw security telemetry, including logs, events, metrics, alerts, config, scanning and other data types * Define and enforce data standards, schemas, and normalization frameworks across security data sources. * Leverage SQL, Python, PowerBI and other interfaces in Snowflake to design the right solution for data analytics, including reporting and other metrics. * Partner with Security Operations, Threat detection, GRC and other engineering teams to translate security requirements into scalable data solutions. * Serve as a technical authority and mentor, influencing data engineering, security analytics and platform strategy. * Drive continuous improvement in data reliability, performance, and cost efficiency. * Manage Data Governance with various reporting and quality checks. * Research and look for opportunities to adopt the best practices and industry standards * Identify opportunities to enhance the current baseline processes and configuration * Produce engineering, integration and process related documentation. * Manage vendor relationships to drive roadmap, solution design, implementation and troubleshooting * Able to conduct the POC of new features to develop new solutions ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Security Pitfalls for Software Engineers](https://www.wearedevelopers.com/videos/726-security-pitfalls-for-software-engineers) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)