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.