Data Engineer, Specialist

Vanguard Group, Inc.

$100K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Minimum of eight years in data analytics, programming, database administration, or data management.
  • Undergraduate degree required; graduate degree preferred.
  • Proficient in data modeling practices.
  • Strong SQL skills and experience with technologies like PostgreSQL, MySQL, Oracle, or SQL Server.
  • Hands-on with big data frameworks such as Apache Spark, Hadoop, or Databricks.
  • Strong programming skills in Python, Scala, or Java.
  • Experience with cloud platforms and data services like AWS Glue, Redshift, Big Query, or Snowflake.

Responsibilities

  • Develop and maintain efficient ETL pipelines for large datasets from diverse sources.
  • Build and manage both relational and non-relational data storage solutions.
  • Integrate APIs and third-party data sources to create actionable datasets.
  • Collaborate with business intelligence analysts and data scientists to implement data solutions.
  • Design optimized data schemas to enhance analytical workload performance.
  • Automate ETL workflows using orchestration tools like Apache Airflow or Prefect.
  • Provide technical guidance and review code within the data engineering team.

Benefits

  • Comprehensive health benefits including medical and dental coverage.
  • Retirement plan options with company matching contributions.
  • Opportunities for professional development and ongoing training.
  • Flexible work arrangements with potential remote work options.
  • Collaborative work environment with a focus on innovation and efficiency.
Full Job Description
Role Summary

The Data Engineer, Senior Specialist is responsible for designing, developing and optimizing data pipelines and architectures to support scalable and efficient data processing. This role involves working with complex datasets, integrating multiple data sources and ensuring high data quality and reliability.

Responsibilites
1. Develop and maintain efficient ETL (Extract, Transform, Load) pipelines that ingest, process and transform large datasets from diverse sources.
2. Build and manage data storage solutions using relational and non-relational databases, ensuring high availability, performance and scalability.
3. Work with APIs, third-party data sources and internal databases to create unified datasets that provide actionable insights for business stakeholders.
4. Partner with business intelligence analysts, data scientists and software engineers to design and implement data-driven solutions that meet business requirements.
5. Design optimized data schemas and structures that support analytical workloads and improve query performance.
6. Leverage orchestration tools like Apache Airflow or Prefect to automate ETL workflows and improve operational efficiency.
7. Provide technical guidance, review code and promote best practices within the data engineering team.

Qualifications and Skills
  • Minimum of eight years data analytics, programming, database administration, or data management experience.
  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
  • Data modeling experience is required.
  • Proficiency in SQL and database technologies such as PostgreSQL, MySQL, Oracle, or SQL Server.
  • Hands-on experience with big data frameworks like Apache Spark, Hadoop, or Databricks.
  • Strong programming skills in Python, Scala, or Java for data processing and automation.
  • Experience with cloud platforms such as AWS, Azure, or GCP, particularly in data services like AWS Glue, Redshift, Big Query, or Snowflake.

Special Factors

Sponsorship
Vanguard is not offering visa sponsorship for this position.

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