Senior Data Engineer - Real Time Analytics

Malvern, PA, United States

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Required Skill set: (Please don’t apply if you do not have these skills and experience)

  • Proven experience as a Data Engineer

  • Familiarity with real-time data processing and analytics.

  • Strong proficiency in Python programming for data engineering tasks. Experience using Python libraries and frameworks.

  • Strong hands-on experience with real-time data streaming technologies such as AWS Kinesis, Apache Kafka, Apache Flink, or similar technologies.

  • Solid understanding of SQL and experience working with relational databases (e.g., Aurora)).

  • Experience with data warehousing concepts and tools (e.g., Amazon Redshift, Snowflake).

  • Experience with data lake and Lakehouse concepts and tools (e.g., Apache Iceberg, Hive, etc).

  • Knowledge of data modeling, ETL processes, and data integration best practices.

  • At least 5 to 6 years of total experience and a minimum of 2 to 3 years of experience with the above 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, Git, and others.

  • Able to write clean, maintainable code, and read code created by others.

  • Highly collaborative, fast learner, willing to jump in and help wherever needed.

  • Enthusiasm for learning and experimenting with latest trends and advancements in real-time data engineering and analytics technologies.

What it takes:

  • Undergraduate degree in a related field or the equivalent combination of training and experience

  • Software Development experience

  • Strong written and oral communication skills

  • Strong, demonstrated analysis and problem-solving skills.

  • Strong planning and organizational skills

  • Ability to implement instrumentation to gather business-specific metrics around consumer usage patterns.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile AWS Data Warehousing Engineering ETL Flink Git Kafka Kinesis Python RDBMS Redshift Snowflake SQL Streaming

Perks/benefits: Career development

Region: North America
Country: United States

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