Sr Data Engineer - Business Intelligence (On-Site)

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.

Primary Function/Summary

We are on a mission to evolve how we use data at Shellpoint to grow our business and fulfill the needs of our customers. We are modernizing our data and integration platform to be best in class. In this role you will be responsible for implementing modern architecture and engineering design patterns in a range of technologies, considering both technical and economic perspectives. You will partner with technical and business stakeholders to implement solutions balancing current and legacy technical standards, while keeping an eye towards scalability and resilience. We are looking for someone who can design, code, and execute in both cloud and on prem environments – while evangelizing the opportunities of good engineering design, modern integration architectures and data as a service.

Principal Duties

• Serve as a key contributor to identify, evaluate, and execute the development and implementation of data infrastructure.
• Deliver collaborative products that align with organization and decision strategies.
• Consult with technology and business staff to understand business need and provide thought leadership on solutions during requirements gathering sessions.
• Serve as key contributor in the development and maintenance of the data warehouse.
• Support critical strategic initiatives and architect moderately complex data engineering projects.
• Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to curated data sets to data analysts and data scientists.
• Develop, communicate, and present solution architectures to both technology and business stakeholders.
• Develop highly complex SQL queries to extract data for analysis and model construction.
• Design, build, and maintain internal and external data integrations.
• Build robust data pipelines, optimizing workloads across on prem and cloud environments.
• Test and validate data pipelines, transformations, datasets, reports, and dashboards built by team.
• Document and test data processes including performance of through data validation and verification.
• Contribute to delivery of multiple large, complex data engineering projects simultaneously.
• Collaborate with technology management to define standards and best practices for team.
• Mentor and assist other data engineers, data analytics and data scientists.
• Provide support to other data engineering, data analytics, application development, data systems and production support teams.
• Work on other projects as assigned.
• Performs related duties as assigned by supervisor.

Core Development Stack  

• Languages: SQL (standard and DB-specific)
• Tools/Products: Microsoft SQL Server, Snowflake, SSIS (SQL Server Integration Services), HVR/Fivetran, Snaplogic, SSRS (SQL Server Reporting Services), RedGate Developer Toolkit, Tableau, PowerBI
• Frameworks: Amazon Web Services (AWS) & Microsoft Azure cloud services
• Other: Azure DevOps, Smartsheet, Microsoft Visio, TFS (Team Foundation Server), Octopai

Education and Experience Requirements  

• College or university degree in the field of Information Technology, Data Science, Computer Science, MIS, or another STEM-related field required.  Significant experience in a similar role or industry will be considered as a replacement.
• 5-7 years engineering/development experience
• Expertise in SQL Server 2017 or higher
• Expertise with data and analytics technologies such as RDBMS, ETL and BI
• Experience with SQL Server Integration Services (SSIS)
• Experience with SQL Server Reporting Services (SSRS)
• Experience with Microsoft Visual Studio 2017 or higher
• Experience with on prem and cloud solution design and engineering
• Experience with Snowflake, Azure, AWS, or other cloud technologies
• Experience with agile delivery methodologies

Knowledge, Skill, and Ability Requirements 

• Cloud-based solution design and engineering
• Experience with tools such as HVR/Fivetran and Snaplogic are a plus
• Azure data and analytics deployments
• Experience in soluti