Job summary
Job post source
This job is directly from Mortgage Research Center, specifically for Veterans United Home Loans.
Job overview
The Data Engineer role at Veterans United Home Loans focuses on creating and maintaining data solutions to support mortgage and real estate business objectives, impacting veterans and service members buying homes.
Responsibilities and impact
The candidate will develop ETL pipelines and data solutions using SQL, Python, Snowflake, and orchestration tools, collaborate with architects and product owners, uphold engineering standards, and contribute to data governance and team culture.
Compensation and benefits
The compensation ranges from $70,000 to $105,000 depending on experience and skills, with no additional benefits explicitly stated in the description.
Experience and skills
Candidates should have experience in data engineering or related fields, proficiency in coding and software engineering principles, SQL, Python, Snowflake, orchestration tools like Dagster or Apache Airflow, SSIS, and familiarity with Agile, GIT, and change management tools.
Work environment and culture
The company values authenticity, adaptability, passion, integrity, and collaboration, promoting a supportive and dynamic work environment with a hybrid remote model encouraging occasional in-person teamwork.
Company information
Veterans United Home Loans is a leading VA loan lender with over 500,000 VA loans closed, focused on helping veterans and military families become homeowners with a strong commitment to community and core values.
Job location and travel
The position is remote/hybrid based with hubs in Columbia or Lenexa, KS, requiring hires to be within a short drive to these offices for occasional in-person collaboration.
Application process
Applicants are encouraged to apply through Veterans United's career site or Glassdoor, with an emphasis on passion and fit over perfect qualifications.
Unique job features
The role offers flexibility with remote work combined with in-person collaboration opportunities and involves working on impactful projects supporting veterans' homeownership.
Company overview
Mortgage Research Center, also known as Veterans United Home Loans, is a leading mortgage lender specializing in VA loans for military veterans, active-duty service members, and their families. The company generates revenue primarily by originating, underwriting, and servicing home loans, with a significant focus on government-backed mortgage products. Founded in 2002 and headquartered in Columbia, Missouri, it has grown rapidly due to its strong emphasis on customer service, digital innovation, and educational resources for homebuyers. Mortgage Research Center has received industry recognition for its workplace culture and commitment to supporting veterans throughout the homebuying process. Candidates should be aware of its mission-driven approach and its reputation as a top VA lender in the United States.
How to land this job
Position your resume to highlight your coding expertise, especially in Python and SQL, and emphasize your experience with data engineering tools like Snowflake, Dagster, and SSIS to align with Mortgage Research Center's technical needs.
Showcase your ability to manage and transform data from diverse sources and formats, and your familiarity with software engineering principles and Agile methodologies, as these are key for the role.
Apply through multiple channels including Mortgage Research Center's corporate career site and LinkedIn to maximize your application visibility and increase your chances of being noticed.
Connect with current employees in the data engineering or technology divisions at Mortgage Research Center on LinkedIn; start conversations by referencing recent company projects, expressing enthusiasm for their work supporting veterans, or asking about their experience with the hybrid work culture.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data engineering,' 'Python,' 'SQL,' 'Snowflake,' 'Dagster,' 'Agile,' and 'software engineering principles' to ensure it passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate applying across multiple platforms, tailor your resume with relevant keywords, and identify LinkedIn contacts to network with, allowing you to focus your time on preparing for interviews and refining your skills.
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