Senior Data Engineer - Real Time Analytics
15 days ago
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HybridFull-timeSenior
Summary
Vanguard is seeking a Senior Data Engineer - Real Time Analytics to join their team in Malvern, PA. The role focuses on real-time data processing and analytics within the financial services industry.
About the Role
As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining real-time data streaming and analytics solutions. This includes working with technologies such as AWS Kinesis, Apache Kafka, and Apache Flink, managing data warehousing and lakehouse tools like Amazon Redshift and Apache Iceberg, and implementing ETL processes and data integration best practices. You will collaborate in an Agile environment, write clean and maintainable code, and contribute to advancing real-time data engineering technologies.
About You
Required:
- Proven experience as a Data Engineer.
- Familiarity with real-time data processing and analytics.
- Strong proficiency in Python programming and related libraries/frameworks.
- Hands-on experience with real-time data streaming technologies such as AWS Kinesis, Apache Kafka, or Apache Flink.
- Solid understanding of SQL and experience with relational databases like Aurora.
- Experience with data warehousing tools such as Amazon Redshift or Snowflake.
- Experience with data lake and lakehouse concepts and tools like Apache Iceberg or Hive.
- Knowledge of data modeling, ETL processes, and data integration best practices.
- 5 to 6 years of total experience with at least 2 to 3 years in relevant skills.
- Familiarity with Agile development principles.
- Experience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithms.
- Experience with software engineering tools such as Eclipse and Git.
- Ability to write clean, maintainable code and read others' code.
- Undergraduate degree in a related field or equivalent experience.
- Strong written and oral communication skills.
- Strong analysis, problem-solving, planning, and organizational skills.
- Ability to implement instrumentation to gather business-specific metrics around consumer usage patterns.
Preferred:
- Highly collaborative and fast learner.
- Enthusiasm for learning and experimenting with latest trends in real-time data engineering and analytics technologies.
Benefits
- Hybrid working model combining flexibility with in-person collaboration.
- Opportunity to work in a mission-driven and highly collaborative culture focused on long-term client outcomes.
- Professional development and skill growth opportunities.
- Competitive compensation and benefits package (specific details not provided).
Join us as we celebrate 50 years of empowering our 50 million investor-owners.* Since our founding in 1975, we’ve been on a mission to help investors achieve their goals.
With no outside shareholders to answer to, we make decisions—including keeping investing costs as low as possible—with our clients’ needs in mind. Whether you’re investing for your first house, college for your kids, or a comfortable retirement, you can be confident we’re on your side.
We are a community that thinks—and feels—differently about investing. Together, we’re changing the way the world invests. Let’s celebrate 50 years together.
Community guidelines: vgi.vg/sgl1
*As of January 2025
Malvern, PA