Senior Data Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $109k - $156k / year

⏰ Full Time

🟠 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

• Execute the company's data strategy and analysis efforts within the enterprise data platform • Expand and optimize data and data pipeline architecture • Optimize data flow and collection from cross-functional areas • Partner with business unit leaders and Product, Data & Technology teams on data-related technical issues and infrastructure needs • Collect data from primary sources, optimize data architecture, improve data quality, and ensure timely delivery • Extract, load, and transform data from internal and third-party sources into the data lake using Snowflake and Informatica • Assemble complex data sets meeting functional and non-functional business requirements • Automate manual processes and improve infrastructure 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 solutions providing insights into revenue, operational efficiency, and expense metrics • Secure personally identifiable information through table splitting, masking, access controls, and redundancy • Create data tools for data scientists and analytics team members • Assess data-source accuracy and data-gathering effectiveness • Develop tools and processes to monitor data warehouse performance and accuracy • Mentor less experienced data professionals and share technical knowledge and design patterns • Lead stakeholder reviews and design sessions • Provide data, reports, and information to management • Identify technology-related trends and errors and develop cross-functional solutions • Resolve high-level issues and contribute to technology-direction decisions • Monitor platform usage, database sizes, compute resources, and third-party costs • Champion data transformation and insight generation • Manage communications and partnerships with senior leaders, managers, and staff • Perform other duties as assigned

🎯 Requirements

• Bachelor's Degree, BS in Statistics, Computer Science, Data Science, or related quantitative field, required • Minimum five to seven years' experience in Data Engineer related role(s) • Minimum of three years spent in a senior technical level role(s) required • Highly proficient in building and optimizing Big Data pipelines, architecture, and data sets • Highly 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 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 in creating data integrations using ETL tools and modern data pipes • Strong knowledge of Kafka, Spark, ESB and/or other 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 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, and problem-solving skills • Ability to prioritize multiple tasks in a deadline-driven environment • Strong detail orientation and organizational skills • Ability to lead effectively in a matrixed management environment • Ability to think critically and assess downstream impacts and risks • Excellent verbal and written communication skills • Strong leadership, interpersonal, and team-building skills • Ability 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 • Ability to work Monday-Friday business-week schedule • Ability to travel 5% or less • Ability to perform sedentary office work and frequent keyboard/mouse use • Ability to learn tasks, maintain focus, complete work independently, make timely decisions, and adhere to established protocols

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • AD&D insurance • LTD insurance • 401(k) with employer match • Pleasant work environment • Competitive compensation