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# Sr. Database Engineer & Developer, Security Data

- **Company:** Mitsubishi UFJ Financial Group
- **Location:** Tampa, FL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000.0 - $203,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Cyber Security, Databases, Data Architecture, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Normalization, Data Warehousing, Amazon DynamoDB, Intrusion Detection and Prevention, Python (Programming Language), PostgreSQL, Meta-Data Management, MongoDB, NoSQL, SQL Databases, Data Streaming, Data Processing, Data Ingestion, Snowflake, Data Lakes, Information Technology, Data Analytics, Data Lakehouse, Azure Synapse Analytics, Data Pipelines, Amazon Redshift, Databricks, Programming Languages
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/b94ff205-e9c4-4b61-a3aa-05c864a08ddc

## 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 Lakehouse (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 2+ years of experience in Python, JavaScript, SQL and other programming languages with AI-assisted coding.
 * Experience with data modeling, data normalization and schema design
 * Solid knowledge of ETL/ELT pipelines and data ingestion processes with data validation, quality checks and error handling

 * Ability to understand, clean, and transform raw data into structure, usable formats
 * Experience working with large-scale datasets (batch and streaming)
 * Understanding of data governance and metadata management
 * Strong problem-solving and analytical skills
 * Knowledge of data privacy, compliance and security best practices
 * Familiar with data standards such as OCSF, STIX, etc.
 * Experience with at least one major cloud provider

 * AWS, Azure or Google

Education:

 * Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or related field, or relevant industry certifications. Equivalent work experience is equally preferable.

## Description

* Architect, build and maintain high-volume, high-fidelity security data Lakehouse 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, for example, OCSF, etc.
 * Working experience with SQL and Python to build data analytics and processing.
 * Leverage platform AI or AI-assisted coding for data processing and analysis
 * Experience with Medallion data architecture
 * 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