Senior Data Engineer

The Senior Data Engineer is responsible for delivering innovative, compelling, and production-grade software solutions for our consumer-facing products, internal operations, and value chain constituents across a wide variety of enterprise applications. This role focuses on backend data engineering and requires a practitioner who can lead through expertise — designing robust data architectures, building scalable pipelines, and providing technical mentorship to junior team members.

About the Role

This role focuses on backend data engineering and requires a practitioner who can lead through expertise — designing robust data architectures, building scalable pipelines, and providing technical mentorship to junior team members.

Responsibilities

• Design, develop, and deliver data engineering solutions that meet business line and enterprise requirements.
• Build and optimize production-grade data pipelines using CI/CD practices to create robust data and reporting infrastructure.
• Participate in rapid prototyping and proof-of-concept (POC) development efforts.
• Understand business and technical requirements and constraints to design effective, scalable data engineering solutions.
• Assist in developing and refining functional and non-functional requirements.
• Champion engineering excellence, including software design patterns, thorough code reviews, and automated unit/functional testing.
• Create conceptual architectures and detailed designs for data engineering solutions.
• Contribute to overall enterprise technical architecture and implementation best practices.
• Participate actively in iteration and release planning ceremonies.
• Provide technical leadership and mentorship to junior and mid-level team members.
• Perform other duties and projects as assigned.

Qualifications

• Design and implementation of data lake, data warehouse, and data mart solutions.
• Web API, REST, GraphQL, and XML/JSON data formats.
• ETL/ELT pipelines; proficiency in at least one data engineering language: Python, Java, or Scala.
• Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Apache Airflow, dbt, and at least one cloud-native data warehouse platform (Snowflake, Databricks, or BigQuery).
• Strong SQL skills with expert-level proficiency in query performance tuning and data modeling.
• Experience designing enterprise database systems using Microsoft SQL Server.
• Solid working knowledge of Git, including branching and merging strategies.

Required Skills

• Ability to design, develop, and maintain scalable, reusable, and maintainable code.
• Accurately estimates tasks with appropriate granularity given available information.
• Thrives in a rapid-iteration environment with short turnaround times and shifting priorities.
• Strong communication skills; able to translate complex technical concepts for non-technical stakeholders.

Preferred Skills

• Knowledge of OLAP cubes and SQL Server Analysis Services (SSAS).
• Experience with reporting and visualization tools: SSRS, Power BI, and/or Tableau.
• Familiarity with real estate, mortgage, or proptech domain data.

This role is primarily remote; however, candidates are expected to relocate to Plano, TX, or Irvine, CA in the future. Occasional travel to these locations may be required initially.