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Vanguard
Vanguard

Largest company.

Data Engineer, Specialist at Vanguard

RoleData Engineering
LevelSenior
LocationCharlotte, New Caledonia, United States
WorkOn-site
TypeFull-time
Posted1 day ago
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About the role

Role Summary

The Data Engineer, Senior Specialist is responsible for designing, developing and optimizing data pipelines and architectures to support scalable and efficient data processing. This role involves working with complex datasets, integrating multiple data sources and ensuring high data quality and reliability.

Responsibilites
1. Develop and maintain efficient ETL (Extract, Transform, Load) pipelines that ingest, process and transform large datasets from diverse sources.
2. Build and manage data storage solutions using relational and non-relational databases, ensuring high availability, performance and scalability.
3. Work with APIs, third-party data sources and internal databases to create unified datasets that provide actionable insights for business stakeholders.
4. Partner with business intelligence analysts, data scientists and software engineers to design and implement data-driven solutions that meet business requirements.
5. Design optimized data schemas and structures that support analytical workloads and improve query performance.
6. Leverage orchestration tools like Apache Airflow or Prefect to automate ETL workflows and improve operational efficiency.
7. Provide technical guidance, review code and promote best practices within the data engineering team.

Qualifications and Skills

  • Minimum of eight years data analytics, programming, database administration, or data management experience.
  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
  • Data modeling experience is required.
  • Proficiency in SQL and database technologies such as PostgreSQL, MySQL, Oracle, or SQL Server.
  • Hands-on experience with big data frameworks like Apache Spark, Hadoop, or Databricks.
  • Strong programming skills in Python, Scala, or Java for data processing and automation.
  • Experience with cloud platforms such as AWS, Azure, or GCP, particularly in data services like AWS Glue, Redshift, Big Query, or Snowflake.

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.

Required skills

ETL

Data modeling

SQL

Database design

API integration

Data architecture

Workflow orchestration

Code review

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About Vanguard

Vanguard

Vanguard

Public

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

10 reviews

4.1

10 reviews

Work-life balance

3.8

Compensation

2.5

Culture

4.2

Career

3.2

Management

4.3

75%

Recommend to a friend

Pros

Supportive management and leadership

Great work-life balance and flexibility

Strong team collaboration and culture

Cons

Low or non-competitive compensation

Limited career advancement and promotions

Heavy workload and long hours

Salary Ranges

756 data points

Junior/L3

Junior/L3 · Business Development Specialist

3 reports

$82,893

total per year

Base

$72,072

Stock

-

Bonus

-

$82,893

$82,893

Interview experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

Online Assessment/Case Study

3

Phone Interview

4

Technical Interview

5

Final Round Interview

6

Offer

Common questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study

Coding/Algorithm