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Senior Data Engineer, Anti-Fraud Technology
VanguardSenior Data Engineer developing cloud-native data pipelines and real-time systems at Vanguard. Join a cybersecurity-focused team building advanced technology to protect clients from fraud.
Tech Stack
Tools & technologiesApacheAWSCloudJavaKafkaPandasPySparkPythonSQLTerraform
About the role
Key responsibilities & impact- Design and implement real‑time data pipelines that power fraud detection and operational decision making
- Build robust ELT workflows from source ingestion through to data presentation for internal stakeholders
- Develop event‑driven solutions using technologies such as Apache Kafka and Apache Flink
- Write high‑quality, testable, maintainable code in Python or Java, with strong SQL capability
- Contribute to solution design, code reviews, automated testing, and documentation
- Apply industry‑leading engineering standards with a focus on code quality, consistency, and resilience
- Build and maintain cloud infrastructure using AWS and Infrastructure‑as‑Code tooling (CloudFormation/Terraform)
- Own deployment and operational support across development, test, and production environments
- Champion continuous improvement across tooling, processes, and engineering practices
- Partner closely with developers, product owners, scrum masters, and analysts to ensure data enables an exceptional client experience
- Participate fully in agile ceremonies including sprint planning, daily scrums, reviews, and retrospectives
Requirements
What you’ll need- Significant experience as a data engineer
- Strong proficiency in Python or Java, SQL
- Hands‑on experience with Kafka and streaming frameworks such as Flink
- Proficiency with data transformation tools (PySpark, Pandas)
- Familiarity with data quality frameworks (e.g., Great Expectations)
- Experience with graph databases is a plus
- Exposure to building cloud infrastructure via IaC
- Excellent communication skills, able to translate complex topics for technical and non‑technical audiences
- Understanding of agile development; scrum experience preferred
- A continuous learning mindset and willingness to expand both technical and non‑technical skills
- A degree in a STEM field is beneficial but not required
Benefits
Comp & perks- Competitive base salary
- Annual performance bonus (January)
- Partnership bonus (June)
- Comprehensive benefits
- Flexible working hours
- Hybrid model blends collaboration with flexibility
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
PythonJavaSQLApache KafkaApache FlinkPySparkPandasCloudFormationTerraformdata transformation
Soft Skills
communicationcontinuous learningcollaborationproblem-solvingadaptabilityattention to detailcode qualityresilienceagile mindsetclient experience