A data engineer specializing in mortgage technology is needed for a long-term, onsite project in Dallas, Texas, according to recent technical job listings. The role requires candidates to manage large-scale data systems using cloud technologies such as the Google Cloud Platform, Python, PySpark, and Kafka.
Dallas Mortgage Tech Project Seeks Data Engineer
Core Technical Stack and Qualifications
According to project descriptions, engineers must hold a bachelor’s degree in engineering or a master’s degree in computer science, information systems, or a related field. Candidates need between five and nine years of professional experience in data engineering. Key technical requirements include strong SQL skills, experience with data warehouses like Snowflake and PostgreSQL, and hands-on familiarity with Python, PySpark, and Kafka.
Pipeline Design and Migration Responsibilities
The position involves designing scalable solutions for growing data volumes, building real-time data ingestion pipelines, and maintaining ETL and ELT processes for analytics and reporting. Engineers will also handle data integration and migration from legacy systems to cloud environments.
Logistics, Compliance, and Onsite Requirements
The position is based onsite in Dallas, Texas, and requires local candidates, according to project notices. Interviews will be conducted via webcam. The engagement is structured as a long-term project supporting W2 or C2C employment restrictions, with a mandatory LinkedIn profile review for applicants.
Responsibilities also include data governance, data quality management, and enforcing data security standards. According to project guidelines, engineers will manage security and access controls, implement encryption, and ensure compliance with regulatory requirements alongside continuous integration and continuous deployment using GitHub tools.