Details
Advice and Wealth Management Technology (AWMT) is seeking a data engineer for the Data & Analytics engineering team, driving innovation in scalable, personalized financial advice through data infrastructure, machine learning, and engineering excellence. The role involves collaborating with a team of Data Engineers and Data Analysts to deliver high-quality, cost-effective data solutions to support AWM strategic initiatives.
Advice is the fullest manifestation of Vanguard's mission. We want to be the “Vanguard of Advice”, bringing our unwavering client focus and unprecedented scale to advice, and, in the process, disrupting the wealth management industry. Our ability to deliver exceptional and innovative investment products at low costs fundamentally transformed the way the world invests. We aim to do the same for financial advice - delivering high quality, trusted advice, at the lowest possible cost.
Here in AWMT, we are applying analytics to inform our advice product and methodology strategies; while implementing cutting edge AI/ML technologies to solve the most complex financial planning, portfolio construction, and core services & enablement problems. We are developing cross-divisional data products to enable the growth of advice across the enterprise.
We are offering an incredible opportunity for a talented individual to collaborate with a team that enables AWM Data & Analytics - D&A data engineering, infrastructure engineering, and machine learning engineering. This individual will drive a culture of engineering excellence and enable us to deliver high quality, trusted, low-cost advice through D&A.
Core Responsibilities
- Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.
- 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.
- 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.
- 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.
- Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members.
- Tests code thoroughly for accuracy of intended purpose. Reviews end product with the client to ensure adequate understanding. Provides data analysis guidance as required.
- 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.
- Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.
- Participates in special projects and performs other duties as assigned.
Qualifications
- Strong experience with ETL (Extract / Transform / Load) processes, designing database systems, and developing tools for real-time and offline analytic processing.
- Strong skills in data transformation using Python, PySpark, SQL, and AWS services, including experience with creating data products to be used for analytical solutions (including Tableau dashboards), and implementing jobs for automated processing.
- Consultative mindset, creative problem solving for ambiguous problems, and partnering with business stakeholders.
- Proactive support engineer in resolving critical production issues, ensuring data and pipeline reliability.
- Minimum of five years data analytics, programming, database administration, or data management experience.
- Undergraduate degree or equivalent combination of training and experience.
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
- Strong experience with ETL processes, database system design, and tools for real-time and offline analytic processing
- Strong skills in Python, PySpark, SQL, and AWS services
- Experience creating data products for analytical solutions, including Tableau dashboards
- Experience implementing automated processing jobs
- Consultative mindset and creative problem-solving ability for ambiguous problems
- Experience partnering with business stakeholders
- Ability to resolve critical production issues and ensure data and pipeline reliability
- Minimum five years of experience in data analytics, programming, database administration, or data management
- Undergraduate degree or equivalent combination of training and experience
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.
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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.
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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.
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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
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.
