Senior Data Engineer Biloxi 5139

Keesler Federal Career • Biloxi, MS

2d • Onsite

About The Position

The Senior Data Engineer is responsible for designing, building, and maintaining scalable, secure, and high-quality data pipelines that support analytics, reporting, regulatory, and operational use cases across the credit union. This role plays a critical part in enabling trusted, timely, and well-governed data while supporting enterprise initiatives such as Member 360, performance reporting, automation, and advanced analytics. This role is also responsible for enabling data foundations for AI/ML and generative AI use cases, including support for feature engineering, real-time data pipelines, and unstructured data processing.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field required.
• 6+ years of experience in data engineering or software engineering with a strong data focus.
• Proven experience building and supporting production-grade data pipelines.
• Strong proficiency in SQL and relational database technologies.
• Experience with ETL/ELT tools and data integration frameworks.
• Experience with modern data platforms (e.g., Databricks, cloud-based analytics).
• Familiarity with data modeling techniques and analytics-ready datasets.
• Experience working within SDLC, CI/CD, and version control frameworks.
• Understanding of data security, governance, and regulatory requirements.
• Familiarity with data patterns supporting AI/ML, such as feature stores, real-time/event-driven pipelines, or vector databases.
• Must possess strong interpersonal and collaboration skills, with the ability to work effectively across technical and business teams.
• Demonstrates professionalism, integrity, and accountability.

Nice To Haves

• Experience in a credit union or financial institution.
• Familiarity with core and digital banking platforms such as Symitar, Alkami, MeridianLink, or similar.
• Experience with cloud data platforms such as Fabric or Snowflake.
• Experience supporting Power BI or similar BI tools.
• Experience supporting AI/ML or generative AI use cases, including preparation of training data, feature engineering, or working with unstructured data.
• Professional certifications in data engineering, cloud platforms, or analytics are preferred.

Responsibilities

• Design, build, and maintain enterprise-grade data pipelines and integrations.
• Develop and optimize ETL/ELT processes for structured and semi-structured data sources.
• Ensure data reliability, performance, scalability, and availability.
• Partner with analytics and business teams to support dashboards, KPIs, and analytical use cases.
• Collaborate with Data Architects on data platform standards and architecture.
• Implement monitoring, logging, and alerting for data pipelines.
• Troubleshoot data quality and performance issues and perform root cause analysis.
• Contribute to data governance initiatives including data lineage, metadata, and access controls.
• Design and support data pipelines for machine learning and AI use cases, including feature engineering and model-ready datasets.
• Support unstructured and semi-structured data processing (e.g., text, logs) and enable capabilities such as embeddings and vector-based data retrieval where applicable.
• Build and maintain reliable, reusable, and well-documented data pipelines.
• Ingest data from core banking systems, digital platforms, and third-party vendors.
• Support analytics, BI, automation, and AI/ML initiatives with curated datasets.
• Enable data readiness for AI/ML and generative AI use cases, including support for training and inference data pipelines.
• Ensure adherence to data governance, security, and compliance standards.
• Participate in data platform modernization and cloud-based initiatives.
• Provide technical guidance and mentorship to junior data engineers.
• Serve as an escalation point for complex data issues.
• Participate in vendor evaluation and tool selection for data platforms.
• Assist with documentation of data standards and best practices.
• Provide backup support coverage where required.

Benefits

• Medical, dental, and vision insurance
• Section 125 Flexible Spending Accounts for Health Care and Dependent Care expenses
• Employee and Dependent Life Insurance
• 401(k) Retirement Plan with 100% match on the first 5% contributed by you
• Paid Leave
• Tuition Reimbursement and Competitive Scholarships
• Short-Term & Long-Term Disability Benefits
• Employee Assistance Program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior