Data Engineering Director

Republic Finance

Education
Benefits
Qualifications
Special Commitments
Skills

Overview and Responsibilities

In business for more than 70 years, Republic Finance is proud to be a trusted lender in over 250 communities across the United States! We specialize in providing flexible lending solutions and incomparable customer service. Driven by our shared mission to pursue excellence for our team, our customers, and our performance, we are continuously improving our customer offerings in tandem with opening more branches in new states each year. We also regularly promote from within and enjoy giving back to the communities we serve. In a nutshell, our company culture is about helping customers, investing in our employee's future, and ensuring that our performance makes an impact on our community!

We are seeking a Data Engineering Director to lead all aspects of the design, development, and maintenance of our data infrastructure and pipelines. The ideal candidate will have a solid technical background in data engineering, excellent leadership skills, and a dedication to data security and compliance. This is a hybrid role working out of our Plano, TX corporate office. Responsibilities are as follows:

  • Lead and mentor a team of data engineers, promoting a culture of teamwork and excellence.
  • Design and implement robust data architectures and pipelines to support analytics and business intelligence, while ensuring data security protocols are followed.
  • Collaborate with cross-functional teams to define data requirements and ensure data availability and integrity.
  • Supervise data quality management, ensuring accuracy and reliability of data across systems.
  • Establish and enforce data security policies and best practices to protect sensitive information.
  • Drive the adoption of best practices in data engineering, including data modeling, ETL processes, and data governance.
  • Manage project timelines, ensuring that data engineering initiatives align with business goals.
  • Stay current with industry trends and emerging technologies to improve our data capabilities.

Requirements

  • Bachelor’s degree in computer science, Engineering, or a related field.
  • More than 15 years of experience in software development, with at least 5 years in a leadership role.
  • Proficiency in data engineering tools and technologies (e.g. Microsoft SQL Server, Databricks, NoSQL-MongoDB or Dynamo DB).
  • Solid understanding of ETL processes, data warehousing, and data modeling (e.g. Apache Kafka, Microsoft Azure Data Factory, Snowflake).
  • Experience with cloud platforms (AWS or Azure) and data pipeline orchestration tools (e.g., Apache Airflow).
  • Excellent problem-solving skills and attention to detail.
  • Good communication and interpersonal skills.

Preferred Qualifications:

  • Familiarity with machine learning concepts, and tools.
  • Experience in managing and optimizing large-scale data environments.
  • Previous experience in an Agile/Scrum environment.

Benefits

We offer a competitive compensation and benefits package including:

  • Health, Dental, & Vision Insurance
  • 15 days of Paid Time Off (PTO) to start + 1 additional personal holiday
  • 401k + employer match
  • Company provided Life Insurance & Long Term Disability
  • Employee Assistance Program - Confidential mental health support

Additional benefits with Republic Finance include:

  • Access to LinkedIn Learning's library of 10,000+ professional development courses
  • Employee of the Month Program
  • Philanthropic support for charities such as Juvenile Diabetes Research Foundation and the American Cancer Society
  • Regular drawings for Sports tickets
  • Professional offices with a friendly team environment

Republic Finance, LLC is an Equal Opportunity Employer and does not discriminate on the basis of race, sex, color, religion, national origin, age disability or veteran status in employment opportunities and benefits. Republic Finance, LLC maintains a Drug-Free Workplace.

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Confirmed 6 hours ago. Posted 7 days ago.

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