Senior Associate, Data Engineering

AllianceBernstein LP • Nashville, TN

6d • Onsite

About The Position

We are seeking a Nashville, TN based Senior Associate, Data Engineering 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. The ideal candidate is a hands-on problem solver, eager to learn, and a strong team player who contributes to a collaborative data-driven culture.

Requirements

• 4+ 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed