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Senior Data Engineer - Real Time Analytics

Vanguard

Senior Data Engineer - Real Time Analytics

Vanguard

Malvern, PA

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Flexible Hours

Flexible Hours

Required Skills

Python

SQL

Data Engineering

ETL

Data Modeling

Required Skill set: (Please don't apply if you do not have these skills and experience)

  • Proven experience as a Data Engineer
  • Familiarity with real-time data processing and analytics.
  • Strong proficiency in Python programming for data engineering tasks. Experience using Python libraries and frameworks.
  • Strong hands-on experience with real-time data streaming technologies such as AWS Kinesis, Apache Kafka, Apache Flink, or similar technologies.
  • Solid understanding of SQL and experience working with relational databases (e.g., Aurora)).
  • Experience with data warehousing concepts and tools (e.g., Amazon Redshift, Snowflake).
  • Experience with data lake and Lakehouse concepts and tools (e.g., Apache Iceberg, Hive, etc).
  • Knowledge of data modeling, ETL processes, and data integration best practices.
  • At least 5 to 6 years of total experience and a minimum of 2 to 3 years of experience with the above skills.
  • Familiarity with Agile Development principles
  • Experience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithms.
  • Experience with software engineering tools, such as Eclipse, Git, and others.
  • Able to write clean, maintainable code, and read code created by others.
  • Highly collaborative, fast learner, willing to jump in and help wherever needed.
  • Enthusiasm for learning and experimenting with latest trends and advancements in real-time data engineering and analytics technologies.

What it takes:

  • Undergraduate degree in a related field or the equivalent combination of training and experience
  • Software Development experience
  • Strong written and oral communication skills
  • Strong, demonstrated analysis and problem-solving skills.
  • Strong planning and organizational skills
  • Ability to implement instrumentation to gather business-specific metrics around consumer usage patterns.

Special Factors
Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work:

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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About Vanguard

Vanguard

A client-owned investment company that offers low-cost mutual funds, ETFs, advice, and related services to institutional and individual investors, and financial professionals.

10,001+

Employees

Kelayres

Headquarters

Reviews

3.4

3 reviews

Work Life Balance

2.5

Compensation

3.2

Culture

2.8

Career

3.5

Management

3.0

45%

Recommend to a Friend

Pros

Competitive compensation package with bonuses

Good foundation for career development

Interesting programs aligned with education

Cons

Long commute requirements (2.5 hours)

Mandatory on-site presence multiple days

Pay below industry standards

Salary Ranges

1,532 data points

Junior/L3

Junior/L3 · Client Relationship Associate

529 reports

$60,018

total / year

Base

$55,076

Stock

-

Bonus

$4,942

$46,375

$78,763

Interview Experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter/HR Phone Screen

3

Technical/Case Study Round

4

Final Round Interview

5

Offer

Common Questions

Behavioral/STAR

Technical Knowledge

Case Study

Past Experience

Culture Fit