Senior Data Engineer

Exceed the expectations of our residential mortgage borrowers & business partners through superior service, simple processes, and effective communications.

We deliver on this mission by empowering our employees by encouraging and recognizing superior performance and innovative solutions, by promoting teamwork and divisional cooperation.
 

Exceed the expectations of our residential mortgage borrowers & business partners through superior service, simple processes, and effective communications.

We deliver on this mission by empowering our employees by encouraging and recognizing superior performance and innovative solutions, by promoting teamwork and divisional cooperation.
 

We are building the enterprise-scale data platform used by data scientists/analysts to accelerate the impact of data-driven insights. We provide essential tools and frameworks to support the entire analytics lifecycle, from efficient data ingestion & transformation workflows to scalable machine learning model deployments.

What You’ll Be Doing

• The primary responsibility is to design, develop, and document data pipelines leveraging replication and transformation tooling to populate and sustain the data lakehouse.
• Migrating SSIS on premises transformations to cloud based targets
• Influence all aspects of the platform including tooling, architecture, processes.
• Ensure successful ongoing operations by developing and implementing processes and procedures yielding high availability and data quality
• Partner with cloud infrastructure team to develop optimized change management process and build infrastructure as code deployments.
• Manage terabytes of data generated by distributed systems, 3rd parties and real-time user metrics to build pipelines that improve our analytics capability and help make key business decisions
• Establish and maintain coding standards for the team
• Support visualization software (Tableau/Power BI) by building data extracts
• Architect essential functionality for our growing analytics organization
• Collaborate with business groups such as Marketing, Operations and Data Science to develop data-intensive solutions.
• Leverage DevOps and Sprint development cycles to plan and execute development

What We’re Looking For

• 5+ years of professional work experience in data processing
• Solid grasp of ETL design and large-scale data processing
• 2+ years of experience working in AWS
• Bachelor’s degree or higher in quantitative/technical field
• Excellent analytical and problem-solving skills
• Strong working knowledge of ETL tooling, Python, C#, & SQL/NoSQL
• Strong working knowledge in SQL and databases such as MSSQL/Oracle/Snowflake/Redshift
• Understanding of Windows/Linux-based systems
• Strong technical skills in AWS, GCP, Azure
• Ability to work and communicate effectively with stakeholders

Bonus Points (not required)

• Experience in one or more object-oriented programming languages (C#, Java, C++)
• Experience with deployment using Docker, REST API, CI/CD
• Experience with data warehousing systems (BigQuery, Redshift, Snowflake)
• Experience with Pub/Sub or distributed messaging systems (SQS, Kinesis, RabbitMQ)
• Experience with Infrastructure-As-Code (Terraform, CloudFormation)

#LI-EM2

Additional Information:

While this description is intended to be an accurate reflection of the position’s requirements, it in no way implies/states that these are the only job responsibilities. Management reserves the right to modify, add or remove duties and request other duties, as necessary.

All employees are required to have smart phones that meet Company security standards with the ability to install apps such as Okta Verify and Microsoft Authenticator. Employment will be contingent on this requirement.

Company Benefits:

Newrez is a great place to work but we are only as strong as our greatest asset, our employees, so we believe in rewarding them!

• Medical, dental, and vision insurance

• Health Savings Account with employer contribution

• 401(k) Retirement plan with employer match