Systems Analyst - Data Engineer

What You Can Expect In This Role

Sammons Financial Group is seeking a Systems Analyst – Data Engineer to design, develop, and implement scalable data and integration solutions that power

Lifeanalytics and operations.

This role requires strong technical expertise in Snowflake/ similar EDW/Lakehouse platforms, SQL, Python, and cloud‑based data platforms (Azure, AWS), with a focus on enabling high‑quality data flow, seamless integration, and modern data architecture. The ideal candidate will be both a hands‑on technologist and a strategic thinker who ensures solutions are performant, secure, and aligned with business objectives while supporting emerging analytics and AI use cases.

• Design, develop, and implement scalable data ingestion, integration, and processing pipelines across cloud platforms (Azure, Snowflake, and similar EDW/Lakehouse platforms, AWS).
• Develop and manage data orchestration workflows using tools such as Azure Data Factory (ADF), Azure Data Lake (ADLS), dbt, and comparable technologies.
• Ingest and process large volumes of structured, semi‑structured, and unstructured data, including compressed formats (.tar), and automate extraction, transformation, and loading processes.
• Design and implement modern data lakehouse architectures, including Iceberg (or similar table formats), to support scalable and high‑performance analytics.
• Develop and maintain data models that accurately represent complex relationships within life insurance and policy administration domains.
• Integrate enterprise data platforms with internal and external systems (APIs, Kafka, Mule Soft) to enable real‑time and batch data exchange.
• Collaborate with product owners, architects, analysts, and developers to translate business, functional, and non‑functional requirements into scalable technical solutions.
• Establish and enforce data engineering standards, best practices, and governance controls across ingestion, transformation, and storage layers.
• Implement data quality validation, reconciliation processes, and error handling to ensure accuracy, consistency, and reliability of data pipelines.
• Monitor pipeline performance, reliability, scalability, and cost efficiency; recommend and implement improvements.
• Research and recommend emerging tools, patterns, and technologies to improve data ingestion, processing, integration, and enablement of AI‑driven use cases.
• Build and support backend data systems, APIs, distributed services, and orchestration layers for secure enterprise use.
• Support enterprise data integration capabilities across Azure, Snowflake, and similar platforms to unify, govern, and operationalize data for analytics and AI applications.
• Support code versioning, CI/CD pipelines, and controlled deployment of data engineering assets.
• Troubleshoot pipeline, data, and platform issues across development, testing, and production environments.
• Provide operational support, including on‑call or on‑demand support for critical data processes.
• Certifications in Snowflake.
• Experience with Python or Java for data processing and automation.
• Familiarity with emerging technologies supporting AI/ML and advanced analytics.
• Experience working in Agile delivery models and cross‑functional enterprise environments.

• College degree in computer science, information science, or management information systems (preferred).
• Minimum 8 years’ IT development experience or equivalent (preferred).
• Effective verbal and written communication skills and the ability to communicate with business partners and other IT staff.
• Problem‑solving skills sufficient to perform research and recommend a proposed solution to problems.
• Ability to work on multiple tasks and meet established deadlines.
• Ability to effectively direct and coordinate the work of other team members on a project without having HR management responsibility for them.
• Knowledge of computer programming languages as required for the system.

Criminal background check required.

• Comprehensive health coverage for you and your family, including medical, dental, vision, HSA & FSA options, and term…