Senior Data Analytics Engineer

CrossCountry Mortgage (CCM) is the nation's number one distributed retail mortgage lender with more than 7,000 employees operating over 700 branches and servicing loans across all 50 states, D.C. and Puerto Rico. Our company has been recognized ten times on the Inc. 5000 list of America's fastest-growing private businesses and has received many awards for our standout culture.

A culture where you can grow! CCM has created an exceptional culture driving employee engagement, exceeding employee expectations, and directly impacting company success. At our core, our entrepreneurial spirit empowers every employee to be who they are to help us move forward together. You’ll get unwavering support from all departments and total transparency from the top down.

CCM offers eligible employees a competitive compensation plan and a robust benefits package, including medical, dental, vision, as well as a 401K. We also offer company-provided short-term disability, an employee assistance program, and a wellness program.

Position Overview:

The Senior Data Analytics Engineer is responsible for providing platform data engineering services within the Data Operations organization. The scope includes data warehousing, data transformation modeling, and associated SDLC processes. This position supports continuous improvement initiatives such as anomaly detection and alerting, query optimization, refactoring, and architecture improvements. This position interacts with a variety of stakeholders including data analysts, data quality/governance, internal business process owners, technology vendors, and external business partners.

Job Responsibilities:

• Develop technical solutions for data warehouse/data mart asset development and optimization.

• Model data to suit business needs and efficient warehouse performance.

• Develop efficient data sources and views for full and self-service Analytics partner queries.

• Develop and execute continuous improvement concepts.

• Organize data pipelines/jobs and develop process monitoring tools.

• Diagnose and resolve data warehouse access and performance issues.

• Execute data warehouse configuration and performance tuning.

• Monitor system details within the data warehouse, including stored procedures and execution time, and implement efficiency improvements.

• Execute change control and testing processes.

• Develop documentation for data architecture, models, environment, etc. for team and end-user reference.

• Develop and deploy end-user practices and tools for data extraction, queries, and data manipulation in accordance with business processes.

• Support data governance, quality, privacy, and security initiatives.

• Mentor junior staff members.

Qualifications and Skills:

• Bachelor’s degree in a related technical or business field.

• 5+ years of Data Analytics Engineering work experience.

• Experience with the following technologies and methods:

• SQL

• Analytics data preparation

• Data modeling

• Data warehousing (Snowflake, S3)

• Process mapping/diagramming

• Agile work management

• Excellent prioritization and problem-solving skills.

• Skilled at identifying opportunities for growth and implementing strategies to enhance efficiency and effectiveness.

• Effective communication and customer service skills.

This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position.

Pay Range:

• Annual Salary: $120,000-$140,000
• The posted pay range considers a wide range of compensation factors, including candidate background, experience and work location, while also allowing for salary growth within the position.