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Location(s)
- Posting Location: New York, New York
City/Cities
New York
Region/States
New York
Country
United States
Working Schedule
Full-Time
Work Arrangement
Hybrid
Travel Required
10%
Relocation Assistance Available
No
Posted Date
19-Mar-2026
Job ID
16370
Description and Requirements
The Team You Will Join
- Met Life is on a transformational journey into the New Frontier. Working closely with our business partners, we are embarking on a transformation that will drive a holistic and cohesive product-aligned model, enabled by an end-to-end delivery capability to drive our highest impact enterprise strategic agenda. Within Met Life Global Technology – Corporate Systems
- Controls, our team assists our IT and business partners in solving complex operational and risk management challenges by rapidly delivering lasting transformations with speed and discipline. Driven by passion and purpose, you will be instrumental in driving change and implementing Met Life’s product model for our businesses while aligning our brand and technology to bring immediate value to our customers and partners.
The Opportunity
Met Life Finance & Risk Management Technology – Controls IT is seeking a Senior Data Engineering & AI/ML Engineer to play a critical role in building and modernizing data and analytics solutions that support Risk, Compliance, and Internal Audit functions.
The ideal candidate brings strong hands‑on engineering expertise, coupled with the ability to collaborate, communicate, and lead across product, engineering, and business teams. This role requires deep experience in data engineering, system integration, and AI/ML enablement, along with a solid understanding of engineering best practices and developer enablement.
This position is both hands‑on and strategic, with responsibilities that include guiding teams through data modeling, architecture and design decisions, platform modernization, and agile delivery practices.
How You’ll Help Us Build a Confident Future (Key Responsibilities)
- Partner closely with product owners and stakeholders to plan, prioritize, and deliver high‑impact business outcomes aligned with enterprise risk and control objectives.
- Lead the design, development, testing, and deployment of scalable data engineering and data processing pipelines.
- Define and maintain architecture, design, and technical documentation to support long‑term platform sustainability.
- Oversee operational support for complex data systems and workflows, including root cause analysis and issue resolution.
- Champion and promote engineering best practices across Data Engineering, Data Platforms, AI/ML, and Cloud technologies.
- Provide technical leadership and guidance to teams on data modeling, integration patterns, performance optimization, and modernization initiatives.
- Support agile delivery by translating business needs into clear technical requirements, user stories, and prioritized backlogs.
Required Skills
- Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
- Strong proficiency in Python and SQL, with deep experience in database design, query optimization, and performance tuning across large‑scale data systems.
- 5+ years of hands‑on experience building and optimizing data engineering pipelines, leveraging ETL platforms (e.g., Informatica, Pentaho), and/or Modern data platforms (e.g., Databricks, Snowflake, Hadoop).
- 5+ years of practical experience with AI/ML technologies and libraries, such as Py Spark, Pandas, Num Py, Lang Chain, Hugging Face, and LLM/RAG integration and prompt engineering.
- 3+ experience working with GenAI / Large Language Models (LLMs) such as OpenAI and Copilot, and integration via API.
- Experience in data modeling (dimensional, canonical, or domain‑oriented models) and designing analytics‑ready datasets and semantic layers.
- Hands‑on experience with Agile delivery frameworks and DevOps tooling (e.g., Azure DevOps, GitHub, Jira).
- Excellent verbal and written communication skills, with the ability to build strong partnerships across technical and business stakeholders.
Preferred Skills
- Hands‑on experience in custom software development within a cloud‑based DevOps environment, including familiarity with CI/CD automation.
- Experience implementing data quality checks, validation frameworks, lineage, and governance controls in regulated environments.
- Hands‑on experience designing and operating data solutions on cloud platforms (preferably Azure), including storage, compute, and networking fundamentals.
- Familiarity with Enterprise Risk Management, Compliance, Internal Audit, or other GRC domains.
- Experience within Financial Services or a global insurance organization.
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 $103,300 - $154,975. 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.
$103,300 - $154,975
Apply
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MetLifeについて

MetLife
PublicMetLife, 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
ニュース&話題
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ESPN
News
·
3d ago
Officials unveil transit plan for NJ World Cup: $150 by train, $80 by shuttle - New Jersey Monitor
New Jersey Monitor
News
·
3d ago