Data & Integration Engineer

Newrez • Coppell, TX

4d

About The Position

Deliver collaborative work products that align with divisional and enterprise strategy. Define and produce data integrations, models, and API interfaces to promote clean separation of responsibility in data flows. Develop highly complex SQL queries to extract data for analysis and model construction. Consult with business and technical staff to understand business need and provide thought leadership on solutions during requirements gathering sessions. Support critical strategic initiatives and architect simple to moderately complex data engineering projects. Contribute to delivery of multiple large, complex data engineering projects simultaneously. Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets to analysts and data scientists. Document and test data processes including performance of through data validation and verification.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a directly related field of study
• Five years of experience in SQL and Python
• Five years of experience in Data and analytics technologies, including RDBMS, ETL, and BI
• Five years of experience in AWS or other cloud technologies
• Five years of experience in Agile delivery methodologies and JIRA
• Five years of experience in Linux command-line
• Smart phones that meet Company security standards with the ability to install apps such as Microsoft Authenticator

Responsibilities

• Deliver collaborative work products that align with divisional and enterprise strategy.
• Define and produce data integrations, models, and API interfaces to promote clean separation of responsibility in data flows.
• Develop highly complex SQL queries to extract data for analysis and model construction.
• Consult with business and technical staff to understand business need and provide thought leadership on solutions during requirements gathering sessions.
• Support critical strategic initiatives and architect simple to moderately complex data engineering projects.
• Contribute to delivery of multiple large, complex data engineering projects simultaneously.
• Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets to analysts and data scientists.
• Document and test data processes including performance of through data validation and verification.

Benefits

• Medical, dental, and vision insurance
• Health Savings Account with employer contribution
• 401(k) Retirement plan with employer match
• Paid Maternity Leave/Parental Bonding Leave/Caregiver Leave
• Adoption Assistance
• Tuition & Certification reimbursement
• Employee Mortgage Loan Program
• The Newrez Employee Emergency and Disaster Fund
• 1 company-paid Volunteer Time Off day
• Matching Gifts Program
• Access to grants, nonprofit resources, and volunteer opportunities
• Participation in Employee Resource Groups (ERGs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level