Data Engineer, Specialist

• Posted 10 hours ago • Updated 10 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Dashboard
  • Amazon S3
  • Version Control
  • Git
  • Testing
  • Continuous Integration
  • Continuous Delivery
  • Documentation
  • Production Support
  • SQL
  • Python
  • Extract
  • Transform
  • Load
  • ELT
  • Cloud Computing
  • Data Modeling
  • Reporting
  • Use Cases
  • Problem Solving
  • Conflict Resolution
  • Data Quality
  • Agile
  • Amazon Web Services
  • PySpark
  • Apache Parquet
  • Business Intelligence
  • Visualization
  • Tableau
  • Microsoft Power BI
  • JIRA
  • GitHub
  • ServiceNow
  • IT Operations
  • Analytics
  • Artificial Intelligence
  • Machine Learning (ML)
  • Data Engineering
  • Workflow
  • Finance
  • Collaboration

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 24534353
  • Posted 10 hours ago
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