トレンド企業

RTX (Raytheon)
RTX (Raytheon)

Leading company in the aerospace industry

Engineer II- Data Analytics

職種データ分析
経験ミドル級
勤務地IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli
勤務オンサイト
雇用正社員
掲載3週間前
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Date Posted:

2026-04-08

Country:

India

Location:

IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli

Position Role Type:

Onsite

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

Who we are:

Pratt & Whitney, an RTX business, is working to once again transform the future of flight designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious.

Come ready to explore and you’ll find a place where your talent takes flight – beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.

At Pratt & Whitney, the difference you make is on display every day. Just look up.

Are you ready to go beyond?

Role Overview:

The Engine Diagnostics, Prognostics and Health Management team (DPHM) is dedicated to providing end to end solutions to improve aircraft reliability while reducing operating costs.

The selected candidate will generate/implement algorithms that monitor automatically monitor critical flight parameters, alert for anomalies, and provide visibility to events or exceedances.

This helps the operator to make informed decisions about preventive maintenance, thereby reducing unscheduled maintenance, lowering operating costs, and increasing aircraft availability. DPHM’s advanced diagnostic solutions provides true value-added benefits that enable the operator to determine the best time to undertake maintenance on the engine and airframe. This can minimize costs by allowing for component repair instead of replacement and maximize engine time on wing.

What You Will Do:

  • Support development of advanced engine performance condition trend monitoring algorithms
  • Analyze steady state and transient engine trend data in support of engineering studies
  • Support QCPC & field investigations related to turbine engine Performance, Operability, Control, and Mechanical subsystems
  • Perform performance deterioration studies of engines operating in service
  • Develop and implement scripts, algorithms, machine learning, data clustering and fault classification techniques within a relational database structure to manage, aggregate, and search data in support of advanced diagnostics and prognostics.
  • Implement and maintain analytic dashboards and Power BI solutions

Qualifications You Must Have:

  • Bachelor/Master of Science in Aerospace or Mechanical Engineering with a minimum of 2-5 years of engineering experience required in field of aviation.
  • Experience in turbomachinery performance modeling (i.e., SOAPP, FAST, NPSS, etc.)
  • Experience supporting turbomachinery testing, data collection and/or data reduction
  • Knowledgeable of Six Sigma Statistical Process Control methods
  • Strong computer programming skills using the languages Python, R, C++, and/or C# (SSIS)
  • Familiar with data visualization techniques using (i.e., Matplotlib, High Charts and/or Power BI)
  • Proficient in MS SQL, MySQL and/or PostgreSQL
  • Proficient in MS Office, especially in Excel
  • Good oral and written communication skills

Preferred Qualifications:

  • Experience specifically with Turboprop/Turboshaft engine performance characteristics
  • Knowledge of Data Bricks
  • Knowledge ow AWS and related services

What we offer:

Long-term deferred compensation programs

Daycare for young children

Advancement programs to enhance education skills

Flexible work schedules

Leadership and training programs

Comprehensive benefits, savings, and pension plans

Financial support for parental leave

Reward programs for outstanding work

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

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RTX (Raytheon)について

RTX (Raytheon)

RTX Corporation is a multinational aerospace and defense conglomerate formed from the merger of Raytheon Company and United Technologies Corporation. The company develops and manufactures aircraft engines, avionics, aerostructures, cybersecurity, guided missiles, air defense systems, satellites, and drones.

10,001+

従業員数

Arlington

本社所在地

$165B

企業価値

レビュー

10件のレビュー

3.7

10件のレビュー

ワークライフバランス

3.8

報酬

3.2

企業文化

4.1

キャリア

2.8

経営陣

3.9

68%

知人への推奨率

良い点

Excellent benefits and work-life balance

Cutting-edge technology and projects

Flexible hours and remote work options

改善点

Limited opportunities for promotion

High expectations and pressure can lead to stress

Can be bureaucratic at times

給与レンジ

2,083件のデータ

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Junior/L3 · Systems Engineer

717件のレポート

$113,965

年収総額

基本給

$109,834

ストック

-

ボーナス

$4,131

$83,866

$155,631

面接レビュー

レビュー3件

難易度

3.0

/ 5

期間

14-28週間

内定率

67%

体験

ポジティブ 0%

普通 67%

ネガティブ 33%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Offer

よくある質問

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

System Design