Jobs · Information Technology · Tennessee

Senior Data Engineer

AllianceBernstein · Nashville, TN · 5 days ago
Information TechnologyFull-time

About the role

We are seeking a Senior Associate, Data Engineering based in Nashville, TN to join our dynamic Data Team. This role is ideal for a data engineer with experience in Snowflake, Fivetran, dbt, Python, and SQL who thrives on ingesting and transforming data from diverse sources, ensuring it is optimized for analytics and business intelligence.

Responsibilities

  • Design, build, and maintain scalable data pipelines to ingest and integrate data from multiple sources using Fivetran and Snowflake.
  • Develop and optimize dbt transformation models to structure and prepare data for analytics and consumption.
  • Ensure data quality, integrity, and reliability through robust testing, monitoring, and governance practices.
  • Implement data modeling best practices in a data warehouse environment, optimizing for performance and usability.
  • Work closely with data analysts, engineers, and business teams to understand data requirements and improve accessibility.
  • Collaborate on improving internal data engineering processes, documentation, and best practices.

Requirements

  • 3+ years of experience in data engineering, data warehousing, or related fields.
  • Proficiency in Snowflake, dbt, Fivetran, Python, and SQL for data transformation, automation, and pipeline development.
  • Experience with data modeling techniques and best practices for modern cloud-based data warehouses.
  • Strong analytical skills with an ability to optimize queries and troubleshoot performance issues.
  • Passion for continuous learning, innovation, and contributing to a strong data culture.
  • Excellent communication skills and a team-oriented mindset.

Preferred Qualifications

  • Bachelor's degree in computer science or related field.
  • Experience with orchestration tools (e.g., Airflow) and data governance frameworks.
  • Familiarity with CI/CD for data pipelines and infrastructure-as-code principles.
  • Exposure to big data processing frameworks (e.g., Spark) is a plus.

Benefits

Our benefits package includes:

  • Competitive compensation and benefits package.
  • Flexible work arrangements to support a healthy work-life balance.
  • Inclusive culture that values diversity and promotes inclusion.
  • Opportunities for professional growth and development.
  • Access to cutting-edge technology and resources.

Pay

Commensurate with experience.

Schedule

Full-time.

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