Data Engineer
Build the foundation for data-driven decisions.
Security First Managers is seeking a skilled Data Engineer to design, build, and optimize enterprise data solutions that support analytics, reporting, operational efficiency, and business growth. This role is responsible for developing scalable data architectures, managing database environments, integrating data across internal and external systems, and ensuring the integrity, security, and availability of critical business data.
What You'll Do
Design, develop, and maintain relational databases, data models, data warehouses, and scalable database architectures that support reporting, analytics, and business operations.
Build, optimize, and support SQL queries, stored procedures, functions, views, and high-performance data schemas to improve data accessibility and performance.
Develop data integration solutions and automated workflows that facilitate secure data exchange between Security First and external partners.
Monitor, troubleshoot, and maintain database systems, ensuring availability, performance, backup/recovery readiness, capacity planning, and data integrity.
Perform advanced data analysis, transform raw data into actionable insights, and support business stakeholders with timely and accurate reporting.
Establish and enforce database standards, governance practices, security controls, and best practices across all database environments.
Support statutory, regulatory, operational, and ad hoc reporting requirements while meeting critical deadlines and quality standards.
Collaborate with business teams to understand data needs, translate requirements into technical solutions, and deliver meaningful analytics and reporting capabilities.
Continuously improve data management methodologies, automation processes, and database performance while adopting new technologies and technical skills.
Participate in business continuity and catastrophe response efforts as needed, including support during weather-related or other critical business events.
What You'll Bring
High school diploma or equivalent
Five (5) years of experience in data engineering, analysis, business intelligence, or a related field
OR bachelor’s degree in STEM degrees with 3 years of experience in engineering, analysis business intelligence, or a related field
Strong knowledge of Microsoft SQL Server, SQL database administration, Python, MySQL, and PostgreSQL
Three (3) years of managing and maintaining multiple SQL instances, supporting enterprise databases, database building, management, and user administration
Two (2) years of Statistical Data Modeling techniques experience
OR an equivalent combination of education, certification, training, and/or experience
Preferred Qualifications:
Masters degree in relevant coursework
Amazon Web Services (AWS)- including hands-on experience with Redshift Database
Experience with ActiveBatch software
Proficient with Python, C#, and PowerShell programming languages
Microsoft Database technical certifications
Five (5) years of Microsoft SQL Server Database experience
Two (2) years of MySQL Database experience
Experience working in the insurance industry especially with compliance reporting
Experience in applied statistical analysis and reporting in a business environment using business intelligence software such as Tableau, Tableau Prep and/or Looker
Why You'll Love Working Here
We're serious about our work—but we also believe work should be enjoyable. Our offices were designed with our team members in mind and includes:
State-of-the-art fitness center
Complimentary chef-prepared lunches monthly
Beautiful walking trail around our office
Team Member appreciation events throughout the year
Hybrid work environment that supports collaboration and flexibility
Food truck events featuring local favorites
Professional development, mentoring, and continuing education
Competitive benefits package including medical, dental, vision, paid time off, 401(k), and more
Join us and help transform data into insights that drive innovation, operational excellence, and exceptional business outcomes.