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Systems Analyst 3 - Data Engineer

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Sammons Financial Group

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Location:
United States , Sioux Falls ▼

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

82654.00 - 172197.00 USD / Year
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Job Description:

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

Job Responsibility:

  • 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 (e.g., .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 (e.g., APIs, Kafka, MuleSoft) 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

Requirements:

  • College Degree in the field of computer science, information science, management information systems Preferred
  • Minimum 8 years' IT development experience or equivalent Preferred
  • Effective verbal and written communications 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
  • Able to work on multiple tasks and meet established deadlines
  • Able 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

Nice to have:

  • 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
What we offer:
  • Comprehensive health coverage for you and your family, including Medical, Dental, Vision, HSA & FSA options, and term life insurance
  • Competitive compensation with a performance-based incentive program tied to clear goals and individual and/or company success
  • Invest in your future with our 100% company-funded Employee Stock Ownership Plan (ESOP), plus automatic enrollment in our 401(k)
  • Work–life balance that means something. Friday afternoons off year-round, generous paid time off, and paid holidays
  • Commit to your growth with paid development time, tuition reimbursement, and professional development opportunities across industry, individual, and leadership programs
  • Make an impact beyond the workplace through volunteer time off, and our company nonprofit matching gift program, supporting the causes that matter most to you
  • An ownership culture that inspires
  • join a connected, values-driven workplace where employees take accountability, support one another, and are empowered to do their best work—together shaping our future shared success

Additional Information:

Job Posted:
May 14, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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