Summary

The Data Engineer is responsible for supporting the design, development, and maintenance of data systems and pipelines. This position focuses on developing technical proficiency, executing assigned tasks, and contributing to the team’s data engineering initiatives. Individuals in this role typically have 0–2 years of experience and a foundational understanding of data engineering concepts. The Data Engineer is expected to demonstrate a strong willingness to learn, attention to detail, and the ability to work collaboratively in a fast-paced environment.

Essential Job Duties And Responsibilities

Continuously build proficiency in data engineering tools, technologies, and programming languages such as Python, SQL, and Java. Learn foundational concepts in data modeling, ETL (Extract, Transform, Load) processes, and database management.
Accurately and efficiently execute assigned data engineering tasks. Assist in the development and maintenance of reliable, scalable data pipelines that support business objectives.
Proactively seek opportunities to expand data engineering knowledge through training, project work, and mentorship from senior team members.
Work closely with data engineers, analysts, and other stakeholders to understand project requirements and deliver effective solutions. Provide regular updates and communicate challenges to team leads or managers.
Participate in data quality assurance efforts, including testing and validating data pipelines and systems. Support adherence to best practices for data accuracy, integrity, and security.
Create and maintain documentation for data workflows, processes, and system configurations to ensure knowledge transfer and support system maintenance.
Identify and troubleshoot basic data issues. Collaborate with senior team members to resolve complex problems and implement effective solutions.
Remain flexible to changing priorities and project needs. Demonstrate a willingness to learn and apply new tools and technologies as required.
Ensure high levels of accuracy in data handling, transformation, and reporting. Validate outputs to minimize errors and ensure high-quality data products.
Conduct oneself professionally with internal teams and external stakeholders. Follow company guidelines for data handling, privacy, and security.
Comply with all company policies and procedures.
Maintain regular and punctual attendance.

Other Job Duties And Responsibilities

Performs other related duties as assigned.

Supervisory Responsibilities

This position is an individual contributor.

Qualifications

To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Familiarity with cloud platforms (AWS, GCP, or Azure)
Exposure to data warehousing concepts
Knowledge of version control systems like Git
Participation in open-source, academic, or personal data engineering projects

Education And/or Experience

Bachelor’s Degree from a Four (4) year College or University in Computer Science, Information Systems, Engineering, or a related technical field preferred.
3+ years of experience in a data engineering, data analytics, or related technical role

Certificates, Licenses, Registrations

None Required

Work Complexity

Problems and issues faced are general, and may require understanding of broader set of issues but typically are not complex. May require familiarity with the financial/mortgage (or job-specific) industry. Problems require understanding of other job areas. Problems are typically solved through drawing from prior experiences, with analysis of the issue.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is normally performed in a typical interior office work environment which does not subject the employee to any hazardous or unpleasant elements. The noise level in the work environment is usually moderate.

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. While performing the duties of this job, the employee is frequently required to sit and talk or hear. The employee is occasionally required to stand; walk; use hands to finger, handle, or feel; and reach with hands and arms. The employee must occasionally lift and/or move up to 25 pounds.

Equal Employment Opportunity

The company is committed to providing equal employment opportunities to all employees and applicants without regard to race, ethnicity, color, sex, marital status, sexual orientation, gender identity or expression, pregnancy, religion, national origin, age (40 and over), disability, military status, genetic information, or any other basis protected by applicable federal, state, or local laws.

Americans With Disabilities Act

Applicants as well as employees who are or become disabled must be able to satisfactorily perform the essential job functions of the position either with or without reasonable accommodation. Applicants as well as employees are encouraged to meet with Human Resources as the organization shall review reasonable accommodations on a case-by-case basis in accordance with applicable law.

Job Responsibilities

The statements reflect the general duties and responsibilities considered necessary to perform the essential functions of the job and should not be considered as an all-inclusive list of all the work requirements of the position. The company may change the specific job duties with or without prior notice based on the needs of the organization.

The Estimated Base Pay Compensation For This Role Is

$84,935.00 - $157,896.00

In addition, certain roles may be eligible for commission based on loans closed.

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