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求人MetLife

IAM Database Intelligence Engineer

MetLife

IAM Database Intelligence Engineer

MetLife

·

On-site

·

Full-time

·

4w ago

Location(s)

  • Posting Location: Cary, North Carolina

  • Posting Location: New York, New York

  • Posting Location: Tampa, Florida

  • Posting Location: Aurora, Illinois

  • Posting Location: Bridgewater, New Jersey

City/Cities

Cary

Region/States

Florida, Illinois, New Jersey, New York, North Carolina

Country

United States

Working Schedule

Full-Time

Work Arrangement

Hybrid

Travel Required

10%

Relocation Assistance Available

No

Posted Date

18-Mar-2026

Job ID

16268

Description and Requirements

The Team You Will Join

You will be joining the Global IAM team which is part of the overall Global Technology & Operations organization. The team is responsible for the management of the workforce and client identity lifecycle across all jurisdictions that Met Life operates in.

The Opportunity

This position will support the team with programming experience and analytical tasks on vast amounts of structured and unstructured data. The candidate will participate in understanding the current data gathering, data processing and data mining and use this information to develop automation for product and process optimization.

Will be responsible for developing tools that will assist in the presentation of business and technical insights to management using visualization technologies and data storytelling.

Will partner with identity and data management teams to develop data-driven solutions.

How You’ll Help Us Build a Confident Future (Key Responsibilities)

  • Develop and Maintain Automation frameworks using Python, Pandas, Flask, Py Test.
  • Develop microservices or applications involving RESTful APIs and data connectivity to existing data platforms.
  • Build and enhance Python ETLs which ingest and process internal REST APIs.
  • Experience with Azure, particularly in relation to data storage, integration, processing, and AI services.
  • Hands-on experience in developing and optimizing EL (Extract and Load) processes using ADF (Azure Data Factory).
  • Perform unit, integration, and functional testing of developed components.
  • Deploy the developed services/modules in a Docker containerized environment.
  • Adress issues and apply necessary fixes or enhancements.
  • Implement reliable, scalable, and high performing distributed systems.
  • Collaborate with cross functional team for feature development and system improvements.
  • Experience with Cl/CD pipelines and version controls in GIT.
  • Experience with containerization tools such as Docker and orchestration tools like Kubernetes.
  • Experience with RESTful and GraphQL API’s.
  • Understanding of data warehousing concepts and best practices including optimization strategies, query tuning, and clustering. Knowledge of data visualization tools like Power BI or Tableau for creating dashboards.
  • Experience with message driven architectures and event sourcing.
  • Knowledge of Agile methodologies and Tool.
  • Experience with testing frameworks (e.g. Junit, Pytest).

Required Skills:

  • Bachelor’s degree in computer science, Information Systems, or another related field with 6+ years of Python or similar development tools OR high school diploma or equivalent and 7+ years’ Python or similar development tools experience (willing to consider Master's degree towards years of experience).
  • Understanding of Regulatory, NIST practices and Access management risks and controls.
  • Most of the following tool experience: Python, Pandas, Flask, Py Test, Django, Angular JS, GraphQL, React.js, Lambda, AWS S3 bucket integration, GitLab, Docker, Elastic Load Balancer, Azure Data Factory.

Preferred Skills:

  • Process automation and optimization experience.
  • Experience with Large Language Models (LLMs) and Agentic frameworks.
  • Additional database platform experience with Oracle, UDB, IMS, MS SQL, AS400.
  • 4+ years of IT work experience in information systems support, security administration, risk management, and/or audit principles.

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

The expected salary range for this position is $90,000 - $134,825. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms.

Benefits We Offer

Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by Met Life and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more!

About Met Life

Recognized
on Fortune magazine's list of the "World's Most Admired Companies",
Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies
to Work For®, Met Life, through its subsidiaries and affiliates, is one of the
world’s leading financial services companies; providing insurance, annuities,
employee benefits and asset management to individual and institutional
customers. With operations in more than 40 markets, we hold leading positions
in the United States, Latin America, Asia, Europe, and the Middle East.

Our purpose
is simple - to help our colleagues, customers, communities, and the world at
large create a more confident future. United by purpose and guided by our core
values

  • Win Together, Do the Right Thing, Deliver Impact Over Activity, and
    Think Ahead - we’re inspired to transform the next century in financial
    services. At Met Life, it’s #All Together Possible. Join us!

Met Life is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (“protected characteristics”).
If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.

Met Life maintains a drug-free workplace.

$90,000 - $134,825

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MetLifeについて

MetLife

MetLife

Public

MetLife, Inc. is the holding corporation for the Metropolitan Life Insurance Company (MLIC), better known as MetLife, and its affiliates. MetLife is among the largest global providers of insurance, annuities, and employee benefit programs, with around 90 million customers in over 60 countries.

10,001+

従業員数

New York

本社所在地

$52B

企業価値

レビュー

3.8

10件のレビュー

ワークライフバランス

4.0

報酬

2.5

企業文化

4.2

キャリア

2.3

経営陣

3.0

65%

友人に勧める

良い点

Good work-life balance and flexible schedules

Supportive and collaborative team environment

Good benefits package

改善点

Below market compensation and salary

Limited career advancement and growth opportunities

High workload and overwhelming demands at times

給与レンジ

895件のデータ

Junior/L3

Mid/L4

Junior/L3 · Data Analyst

0件のレポート

$72,360

年収総額

基本給

-

ストック

-

ボーナス

-

$61,506

$83,214

面接体験

8件の面接

難易度

2.5

/ 5

期間

14-28週間

内定率

13%

体験

ポジティブ 13%

普通 62%

ネガティブ 25%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Phone/Technical Interview

4

Video Interview

5

Final Interview

6

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit

Coding/Algorithm