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.
Skills Required
- 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
- 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.
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
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.
