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# Data Engineer with Mortgage - Onsite

- **Company:** MSYS Inc.
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Big Data, Cloud Computing, Information Systems, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Database Queries, Github, Python (Programming Language), PostgreSQL, Role-Based Access Control, Software Tools, Unstructured Data, Google Cloud, Snowflake, Pyspark, Information Technology, Data Analytics, Real Time Data, Apache Kafka, Legacy Systems
- **Published:** September 18, 2026
- **Apply:** https://www.dice.com/job-detail/01f5d8ed-084a-4dfa-96f8-5abbda55e2a7

## About the Role

* Bachelor's in Engineering or Master's degree in Computer Science, Information Systems or related field.
 * Minimum of 5 - 9 years of experience in data engineering.
 * Experience with databases and data warehouse implementations (Preferred - Snowflake, PostgreSQL).
 * Strong SQL skills with experience in writing and optimizing complex queries.
 * Working knowledge of data warehousing, data governance, data quality and data architecture.
 * Experience in data modelling.
 * Ability to handle large scale structured and unstructured data from internal and third-party sources.
 * Hands on experience in Python, Pyspark, Kafka.
 * Experience with data engineering tools/technologies in Google Cloud Platform cloud environment.
 * Proficiency in designing and maintaining scalable data architectures.
 * Experience with CI/CD tools like GitHub.

## Description

* Design and implement scalable solutions for ever-increasing data volumes, using big data/cloud technologies like Pyspark, Kafka, etc.
 * Collaborate with cross-functional teams to understand data requirements and provide effective solutions.
 * Implement real-time data ingestion and processing solutions.
 * Develop and maintain ETL/ELT processes to support data analytics and reporting.
 * Implement best practices for data security, integrity, and quality.
 * Develop data integration and migration strategies to move data from legacy systems to cloud.
 * Monitor and troubleshoot the performance and availability of the data systems and implement strategies to improve their reliability and scalability.
 * Manage security and access controls for the data systems, including managing roles and permissions, implementing encryption, and complying with regulatory requirements.


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