Responsibilities:
- Design, build, and maintain scalable ETL/ELT pipelines for critical IT data sources
- Develop curated, high-quality datasets to support reporting, dashboards, and analytics products
- Write, optimize, and maintain SQL and Python code for transformation, automation, and performance
- Deliver cloud-based data solutions using AWS services such as Glue, S3, and Athena
- Partner with analysts, product managers, and stakeholders to translate data needs into practical solutions
- Implement data quality checks, validation rules, monitoring, and documentation to ensure trusted data
- Troubleshoot pipeline issues, investigate anomalies, and resolve data defects end-to-end
- Apply engineering best practices including version control (Git), code reviews, testing, and CI/CD deployment
- Contribute to standards for data lineage, governance, documentation, and production support
- Support the evolution of reusable data products and self-service analytics capabilities
Education & Experience:
- Bachelor’s degree or equivalent combination of education and relevant experience
- 3–5+ years of experience in data engineering, analytics engineering, or data platform development
- Strong proficiency in SQL and Python for data transformation and automation
- Hands-on experience building and supporting ETL/ELT pipelines
- Experience with AWS or similar cloud data platforms
- Solid understanding of data modeling, curated datasets, and BI/reporting use cases
- Demonstrated problem-solving skills and commitment to data quality and reliability
- Ability to communicate effectively with both technical and non-technical stakeholders
- Experience working in collaborative, agile team environments
Preferred:
- Experience with AWS Glue, PySpark, Athena, Dremio, Parquet
- Exposure to BI and visualization tools such as Tableau, Power BI, or Streamlit
- Familiarity with Jira, GitHub, ServiceNow, or technology operations data
- Interest in building reusable data products and enabling self-service analytics
- Exposure to AI/ML concepts, LLMs, or agent-based tools to enhance data engineering workflows and automation
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
- Bachelor's degree or equivalent combination of education and experience
- 3-5+ years of experience in data engineering, analytics engineering, or data platform development
- Strong proficiency in SQL
- Strong proficiency in Python
- Hands-on experience building and supporting ETL/ELT pipelines
- Experience with AWS or similar cloud data platforms
- Experience with version control (Git) and CI/CD deployment
- Solid understanding of data modeling, curated datasets, and BI/reporting use cases
- Demonstrated problem-solving skills and commitment to data quality and reliability
- Ability to communicate effectively with technical and non-technical stakeholders
- Experience working in collaborative, agile team environments
- Experience with AWS Glue, PySpark, Athena, Dremio, Parquet
- Exposure to BI and visualization tools such as Tableau, Power BI, or Streamlit
- Familiarity with Jira, GitHub, ServiceNow, or technology operations data
- Interest in building reusable data products and enabling self-service analytics
- Exposure to AI/ML concepts, LLMs, or agent-based tools
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.
