Data Engineer II

The Team: At Kind Lending, our family of diverse and talented Kind Ambassadors are the driving force behind our new approach to the mortgage experience.
They're the heart and soul of the organization and our "People Before Profits" mentality shines through in every department.
Kind Lending is growing and is looking for top mortgage professionals who value opportunity, lasting business partnerships, and who live out our KIND mindset.
Kind Lending is determined to provide the best service in the industry while also providing homebuyers a great selection of products to enhance their buying experience.
Backed by our trusted leadership team, Kind Lending's friendly and professional model puts the fun in funding.
Position Summary: The Data Engineer is responsible for designing, building, and maintaining the pipelines, data models, and integrations that power Kind Lending's Snowflake data platform.
This role owns ingestion of source data (via CDC/replication tools and custom Python) into a governed Bronze/Silver/Gold medallion architecture, writes and optimizes SQL transformations and stored procedures, and partners with the BI team to ensure clean, well-modeled data is available for Power BI reporting and downstream analytics.
The ideal candidate is comfortable working across the full data lifecycle, from raw ingestion through curated, business-ready datasets, and enjoys solving data modeling and pipeline reliability problems in a fast-paced environment.
Location: Remote, Hybrid, and In-Person available.
Pay Disclosure: The starting base salary range for this position is 120k -140k annually.
The actual base is dependent on many factors such as: work experience, business needs, market demands, and other compensation components.
The base pay range is subject to change and may be modified in the future.
Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines that ingest data from source systems into Snowflake, following a governed Bronze/Silver/Gold medallion architecture.Build and maintain CDC-based replication/ingestion pipelines (e.g., OpenFlow, Fivetran, or comparable tools) to bring operational source data into the data platform reliably and on schedule.Write and optimize SQL, stored procedures, views, and scheduled tasks in Snowflake to transform raw data into clean, business-ready datasets.Develop Python-based scripts, automation, and integrations to support data ingestion, transformation, monitoring, and governance workflows.Design and maintain dimensional and semantic data models (fact/dimension tables, star schema, surrogate keys) that support reporting and self-service analytics.Partner with BI developers to build semantic-layer views that power Power BI dashboards, keeping business logic in the data platform rather than in DAX.Monitor pipeline health and data quality, build observability and logging into pipelines, and troubleshoot issues across ingestion and transformation layers.Integrate third-party systems and APIs (e.g., Jira and other ticketing or operational platforms) into the data warehouse to centralize reporting.Document data pipelines, data models, and processes, maintaining clear technical documentation for the broader team.Collaborate with the Data & Business Intelligence team on platform governance, security, and access management best practices.
Competencies: Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.4-6+ years of experience in a data engineering or similar data platform role.Strong SQL skills and hands-on experience with Snowflake or another cloud data warehouse (e.g., Redshift, BigQuery, Synapse).Proficiency in Python for scripting, automation, and data pipeline development.Experience building and maintaining ETL/ELT pipelines and CDC-based data replication (e.g., OpenFlow, Fivetran, or similar tools).Solid understanding of data modeling concepts, including medallion (Bronze/Silver/Gold) architecture, star schema, and dimensional modeling.Familiarity with Power BI or a similar BI tool, and an understanding of how upstream data models support dashboards and reporting.Experience using Jira or similar ticketing/project tracking tools to manage and document engineering work.Comfortable working with version control (Git) and applying general software engineering best practices.Mortgage, lending, or financial services industry experience is a plus.Excellent verbal and written communication skills.
Requires team player mentality, willingness to work in a fast-paced environment while exhibiting our Kind Culture.
Work Authorization: Must be able to verify identity and employment eligibility to work in the U.S.
without a visa sponsorship.
Other Duties: This job profile is not intended to be an all-inclusive list of job duties and responsibilities, as one may perform additional related duties as assigned to meet the needs of the organization.
Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Primary functions require sufficient physical ability and mobility to work in an office setting; to stand or sit for prolonged periods of time; to occasionally stoop, bend, kneel, crouch, reach, and twist; to lift, carry, push, and/or pull light to moderate amounts of weight; to operate office equipment requiring repetitive hand movement and fine coordination including use of a keyboard; and to verbally communicate to exchange information.VISION: See in the normal visual range with or without correction.HEARING: Hear in the normal audio range with or without correction.
Kind Lending is an Equal Opportunity Employer committed to workforce diversity.
Qualified applicants will receive consideration without regard to race, religion, creed, color, orientation, gender, age, national origin, veteran status, disability status, marital status, sexual orientation, gender identity, or gender expression.
***For your security, Kind Lending will only contact you from email addresses ending in kindlending.com.
Emails from any other domain should be treated as suspicious and may be phishing attempts.
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