Senior Data Engineer

Role overview

What you will do

• Design data models for key business entities such as advisors, clients, and products.
• Maintain data quality and integrity across sources for business data assets.
• Translate complex business and technical rules into data-flow and pipeline logic.
• Develop data products with Data Science teams for different use cases.
• Collaborate with stakeholders and incorporate use-case requirements into solution design.
• Standardize metadata into a common glossary and document it for data consumers.
• Bridge business-consumer requirements and data-engineering practices in support of the Business Data Strategy.

What you need

• 3–5 years of hands-on experience with cloud technologies and programming languages for data processing and analytics.
• 3+ years with AWS and Snowflake, including ETL pipelines, catalog management, data quality, and governance.
• 3+ years of proficiency in Python, PySpark, and SQL.
• Experience optimizing Spark and SQL job cost and performance.
• 5 years of experience with relational database systems and relational, dimensional, and analytical models.
• 3–5 years engineering data products for analytical models and building feedback loops between model deployment and data.
• Understanding of data warehousing, data quality, master data management, governance, and data modeling.
• Experience integrating operational data sources into production-grade data products.
• Experience with Parquet and Iceberg; familiarity with very large datasets and big data technologies.
• Excellent verbal and written communication and ability to partner with data scientists to articulate insights.
• Reliability Status Clearance and satisfactory completion of applicable background checks are required.
• Tableau, QuickSight, or Streamlit experience is a plus.

Additional qualifications

• Agile operating-model knowledge, AI and machine-learning concepts, AWS and Snowflake AI services, statistical methods, DevOps technologies, and financial-services experience are nice to have.
• An undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent is listed as a nice-to-have qualification; a graduate degree in business or quantitative science is strongly preferred.

Workplace

• Hybrid organization offering the choice to work from the office or virtually based on business, client, and employee needs.

Compensation

• Listed salary range is 85,000–128,000; the posting does not specify a pay cadence.

Benefits

• The posting mentions wellness programs supporting physical, mental, and financial health and career-development opportunities.