Data Engineer-Context Engineering

Role and Responsibilities

• Build, enhance, and support ETL/ELT data pipelines that move data from source systems to data products.
• Maintain data product pipelines, identify issues, resolve common failures, and escalate complex problems to ensure access and quality reliability.
• Develop and maintain enterprise data models to integrate data consistently across subject areas.
• Work with analysts and data scientists to design, implement, and deliver semantic models needed for reporting, business intelligence, and AI workflows.
• Create reusable data domains and datasets that connect technical data structures to clear business meaning.
• Establish consistent naming conventions, metadata standards, and semantic clarity across data.
• Follow enterprise Data Governance standards, including expectations for data quality, lineage, security, access controls, and responsible data use.
• Collaborate across Data and IT teams to support integration strategies for internal and external data sources and contribute to a cohesive, scalable data architecture.

Qualifications

• Minimum 4 years of experience in data engineering or comparable programming/design experience.
• Preferred Graduate Degree in Computer Science, Math, Statistics, Information Systems, Data Science.
• Minimum of 2 years of experience working at Southern Farm Bureau Life in a role requiring an understanding of the underlying data for various SFB systems.
• Working knowledge of ETL/ELT processes from source systems to target systems.
• Working knowledge of the DE development life cycle (such as the ability to troubleshoot merge conflicts).
• Advanced working SQL knowledge and experience working with relational databases as well as working familiarity with a variety of databases.
• Experience performing root cause analysis on internal data and processes to answer specific business issues and identify opportunities for improvement.
• Ability to establish measurable outcomes and create processes for monitoring progress towards established goals.
• Ability to make well-informed, effective, and timely decisions, even when data is limited or solutions produce unpleasant consequences; perceive the impact and implications of decisions.

Benefits

• Health Insurance: Comprehensive coverage for employees and their families.
• Active Lifestyle Rewards Program: Incentives for maintaining an active lifestyle.
• Rewards for participating in fitness challenges and wellness activities.
• Weight Management Programs: Customized weight management plans.
• Employee Engagement: Opportunities to connect with colleagues.
• Annual events for employees and their families (Company Picnic, Thanksgiving lunch, Christmas Reception, Family Fun Night).
• Onsite Cafe: Convenient access to nutritious meals.
• Volunteer Days: Paid time off for volunteering.
• Life Insurance and Company-Funded Pension: Financial security for employees and beneficiaries.
• Retirement planning.