Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,226 postings in the last year. Stated ranges, not salaries paid.
The typical base pay range for this role is as follows: New York / New Jersey: $140k–$203k Non–New York / New Jersey: $140k–$185k
New York / New Jersey: $140k–$203k Non–New York / New Jersey: $140k–$185k Depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Architect, build and maintain a security data Lakehouse in Snowflake
Translate security requirements into scalable data solutions with SecOps and threat teams
Serve as technical authority and mentor on data engineering and security analytics
Architect, build and maintain high-volume, high-fidelity security data Lakehouse in Snowflake system
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.
8+ years of hands-on experience with various databases including Snowflake, relational (SQL, PostgreSQL, etc.), no-SQL (MongoDB, DynamoDB, etc.)
Knowledge of data privacy, compliance and security best practices
Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or related field, or relevant industry certifications. Equivalent work experience is equally preferable.
Experience with data modeling, data normalization and schema design
Experience with at least one major cloud provider
Solid knowledge of ETL/ELT pipelines and data ingestion processes with data validation, quality checks and error handling
Education: - Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or related field, or relevant industry certifications. Equivalent work experience is equally preferable. Other Qualifications:
Open 4 monthsWe first saw this posting 120 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,226 postings in the last year. Stated ranges, not salaries paid.
Day 120
Up longer than most. Similar jobs usually come down between day 5 and day 54.
Well past Mufgub’s usual: its jobs come down by about day 36.
From 12,292 similar postings that came down, and 120 of Mufgub’s. Coming down is not always a hire.
33 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
- 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
- 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
- Experience with at least one major cloud provider - AWS, Azure or Google Education:
- 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.
Responsibilities: - 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
Complete your application on mufgub.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Senior Database Engineer & Developer, Security Data job there since July 2026. It came down after 87 days.
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Do you want your voice heard and your actions to count?
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.Job Overview:
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.
Responsibilities:
Qualifications:
Education:
Other Qualifications:
The typical base pay range for this role is as follows:
Depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
The typical base pay range for this role is as follows: New York / New Jersey: $140k–$203k Non–New York / New Jersey: $140k–$185k
New York / New Jersey: $140k–$203k Non–New York / New Jersey: $140k–$185k Depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.
Tampa, FL
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.