Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $94k - $136k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Guild Mortgage

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1960

🏗️ Construction

💸 Finance

🏠 Real Estate

Construction • Finance • Real Estate

Guild Mortgage is a U. S. -based mortgage lender and loan servicer that provides a wide range of home financing products and services to consumers and business partners. The company offers purchase and refinance mortgages, including conventional, FHA, VA, USDA, jumbo, renovation, construction, reverse mortgages, HELOCs, and specialty programs and down-payment assistance. Guild Mortgage operates nationwide through local branches and loan officers, supports borrowers with servicing and online account management, and partners with builders, real estate agents, title agents, and correspondents.

📋 Description

• Collaborate with business unit leaders and Product, Data & Technology teams on data-related technical issues and infrastructure needs • Collect data from primary internal and third-party sources • Optimize data architecture, data quality, and timely data delivery • Extract, load, and transform data into the data lake using Snowflake and Informatica tool suites • Assemble complex data sets meeting functional and non-functional business requirements • Automate manual processes and redesign infrastructure for scalability • Build infrastructure for data extraction, transformation, and loading using SQL and ELT tools • Configure Informatica Intelligent Cloud Services environments and tools • Design and implement enterprise processes governing platform usage, performance, security, and audit compliance • Build analytics tools providing actionable insights into customer acquisition, operational efficiency, and business performance metrics • Secure PII data through table splitting, masking, access controls, and redundancy • Create data tools supporting data scientists and analytics team members • Assess data-source accuracy and data-gathering effectiveness • Develop tools to monitor data warehouse performance and data accuracy • Mentor less experienced data professionals and share technical knowledge and design patterns • Participate in stakeholder reviews and design sessions • Provide data, reports, and information to management • Monitor technology-related errors and develop cross-functional solutions • Improve policies, procedures, and processes • Monitor platform usage, database sizes, compute resources, and third-party costs • Champion data transformation and insight generation • Manage communications, partnerships, and stakeholder relationships with senior leaders, managers, and staff • Perform other duties as assigned

🎯 Requirements

• Bachelor's degree directly related to the position or equivalent, required • BS in Statistics, Computer Science, Data Science, or related quantitative field required • Minimum 3 to 5 years' experience in Data Engineer related roles • Proficient in building and optimizing Big Data pipelines, architecture, and data sets • Proficient with data loading, processing, and data warehouse design techniques, including star or snowflake schema designs • Well versed in Informatica Intelligent Cloud Services, administration, environment configuration, and tool suite setup • Proven expertise developing in Informatica Intelligent Cloud Services and related tools • Proven experience with data lake and warehouse best practices and leading marketplace products • Expert at creating data integrations using ETL tools and modern data pipes • Strong knowledge of Kafka, Spark, ESB, messaging queues, real-time data integration, and stream processing technologies • Experience querying and analyzing SQL relational databases and NoSQL databases • Experience with R, Python, Java, Scala, C#, or JavaScript • Experience collecting structured, semi-structured, and unstructured data in popular formats from internal systems and third-party providers • Experience with Azkaban, Luigi, Airflow, or similar data pipeline and workflow management tools • Experience performing root cause analysis on internal and external data and processes • Strong analytical, data governance, communication, leadership, interpersonal, and team-building skills • Ability to prioritize multiple tasks in a deadline-driven environment • Ability to think critically and evaluate facts, data, downstream impacts, and risks • Self-starter able to learn and adapt to new technologies and techniques • Proficiency in Microsoft Office Suite, Word, Excel, Wiki, collaborative cloud-based programs, and third-party software applications • Commitment to company values • Must be able to work Monday-Friday business week schedules • Must be able to adhere to process protocols and apply established protocols in a timely manner

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • AD&D insurance • LTD insurance • 401(k) with employer match • Competitive compensation • Pleasant work environment • Travel of 5% or less