Data Engineering Manager

🔥 1 hour ago

🏈 Ohio – Remote

🏈 Ohio – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

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CrossCountry Mortgage, LLC

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💸 Finance

💰 $400M Debt Financing on 2021-11

Finance

CrossCountry Mortgage, LLC is one of America’s leading retail mortgage lenders, providing a range of mortgage solutions for homebuyers, homeowners looking to refinance, and those seeking home equity loans. They offer a comprehensive suite of services including home purchase loans, mortgage refinancing, and home equity lines of credit (HELOC). The company prides itself on helping clients navigate the home buying process with ease, whether they are first-time buyers or seasoned investors. Known for their competitive interest rates and efficient loan processing, CrossCountry Mortgage aims to support their clients in achieving their home ownership and financial goals.

📋 Description

• Provide technical leadership for data engineering services including data modeling, data warehouse/lake architecture and administration, ETL pipelines • Manage data engineers/developers and drive technical solutions in support of various business services including analytics, reporting, AI analysis, modeling, data integration, and automation of manual data processes • Responsible for continuous improvement of data quality, processing costs, modeling, and services • Collaborate with stakeholders including product owners, analysts, functional leadership, vendors, and scrum/project resources to optimize solutions aligned with business needs • Manage and mentor data engineers on projects, best practices, and professional growth • Administer HR processes (hiring, performance, etc.) for reports • Oversee ideation and execution of continuous improvement concepts • Develop technical solutions for data platform implementation and services expansion • Model data to suit business needs and efficient warehouse performance • Oversee and implement ETL and reverse ETL pipelines/solutions • Develop efficient data assets for analytics, AI, and low latency queries • Develop security access models • Organize data pipelines/jobs and develop quality monitoring tools • Resolve platform performance issues and bugs • Execute platform configuration and performance tuning • Monitor system details within the data warehouse • Develop, implement, and enforce change control and testing processes • Develop documentation for data architecture, models, semantic views, environment, etc. for team and end-user reference • Develop and deploy end-user practices and tools for data extraction, queries, and data manipulation according to business processes • Support data governance, quality, privacy, and security initiatives and advocate for supported services

🎯 Requirements

• Bachelor’s degree in a related technical or business field • 5+ years of comparable work experience • Experience with SQL and data modeling • Data warehousing (Snowflake) • Process mapping/diagramming • Agile work management • Code management and release • AI code development • Familiarity with transactional database management (PostgreSQL, MongoDB, etc.), preferred • Excellent prioritization and problem-solving skills • Customer service mindset • Continuous improvement mindset • Communication and teamwork skills

🏖️ Benefits

• medical • dental • vision • 401K • company-provided short-term disability • employee assistance program • wellness program