Back to jobs

Senior Database Engineer & Developer, Security Data

Pay
Multiple pay statements — pay source
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
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • 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.
  • 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
Qualification wording
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 & alternatives
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:
Apply at Mufgub

Posting record

Report an error

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.

Status in our records
Live
First seen by us
Jul 13, 2026120 days ago
Recorded sightings
213
Last seen by us
Nov 10, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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.

Mufgub is hiring

33 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • JavaScript
  • Python
  • SQL
  • AWS
  • Azure
  • BigQuery
  • Databricks
  • DynamoDB
  • MongoDB
  • PostgreSQL
  • Redshift
  • Snowflake
Where the posting names them
- 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

Your next step

Complete your application on mufgub.wd3.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Has Mufgub posted this job before?

Yes. We’ve followed one other Senior Database Engineer & Developer, Security Data job there since July 2026. It came down after 87 days.

  1. Jersey CityCame down after 87 days, first seen Jul 13
  2. This jobUp 120 days so far, first seen Jul 13

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 834, the most 1,323, and the latest week had 1,323.
August 17Last week

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.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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:

  • 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

 

Qualifications:

  • 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.

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.

The typical base pay range for this role is as follows:

  • 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.


MUFG Benefits Summary

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.

We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
The typical base pay range for this role is as follows: New York / New Jersey: $140k–$203k Non–New York / New Jersey: $140k–$185k
More source context
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.
Location & working pattern

Tampa, FL

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.