Data Engineer, Specialist

Posted Yesterday
Malvern, PA, USA
In-Office
Senior level
Fintech
The Role
Develops scalable, secure ETL pipelines, database architectures, and real-time or batch data solutions. Integrates large datasets, ensures data quality and integrity, writes complex code and queries, and translates business needs into technical designs. Leads solution development, testing, releases, documentation, training, and vendor issue resolution while advising business partners on data analysis and tools.
Summary Generated by Built In

Core Responsibilities

Provides advanced data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Utilizes a deep dive analytical skillset on a variety of internal and external data.

1. Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.

2. Troubleshoots software and processes for data consistency and integrity. Integrates large scale data from a variety of sources for business partners to generate insight and make decisions.

3. Translates business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.

4. Partners with internal clients to gain an enhanced understanding of business functions and informational needs. Gains expertise in tools, technologies, and applications/databases in specific business areas and company-wide systems.

5. Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members.

6. Tests code thoroughly for accuracy of intended purpose. Reviews end product with the client to ensure adequate understanding. Provides data analysis guidance as required.

7. Designs and conducts training sessions on tools and data sources used by the team and self provisioners. Provides job aids to team members and business users.

8. Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.

9. Participates in special projects and performs other duties as assigned.

Qualifications

  • Minimum 5 years of relevant work experience, with at least 2 years in designing and maintaining data pipelines, ETL processes and database architectures.
  • Bachelor’s degree or equivalent experience
  • Strong expertise in SQL, Python, or Scala for data processing, automation and transformation.
  • Hands-on experience with big data frameworks such as Apache Spark, Hadoop, or Kafka for real-time and batch processing.
  • Experience in cloud data platforms including AWS Redshift, Google Big Query, or Azure Synapse, with proficiency in cloud-native ETL and data pipeline tools.
  • Strong understanding of data modeling principles, relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra).

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.

Skills Required

  • At least 5 years of relevant work experience
  • At least 2 years designing and maintaining data pipelines, ETL processes, and database architectures
  • Bachelor's degree or equivalent experience
  • Strong expertise in SQL, Python, or Scala
  • Hands-on experience with Apache Spark, Hadoop, or Kafka
  • Experience with cloud data platforms such as AWS Redshift, Google BigQuery, or Azure Synapse
  • Proficiency in cloud-native ETL and data pipeline tools
  • Strong understanding of data modeling principles
  • Experience with relational and NoSQL databases, including PostgreSQL, MySQL, MongoDB, or Cassandra

Vanguard Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.

  • Retirement Support Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
  • Affordable Benefits Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.

Vanguard Insights

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The Company
HQ: Malvern, PA
20,252 Employees
Year Founded: 1975

What We Do

We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.

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