Systems Analyst 4

WDM, IA, US • Posted 6 hours ago • Updated 6 hours ago

Full Time

On-site

Depends on Experience

Fitment

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Job Details

Skills

Snowflake
Azure
AWS
Git
SQL

Summary

Position Summary
We’re looking for a Sr. Data Engineer/Developer to guide and mentor a talented group of data engineers and developers in building scalable, secure, and high-quality data and integration solutions. This role blends hands-on technical expertise with strategic leadership, ensuring seamless data flow and integration across complex enterprise systems. If you thrive at the intersection of architecture, innovation, and collaboration, this is your opportunity to make an impact.

Key Responsibilities

Lead & Mentor: Provide technical direction, coaching, and code reviews for a team focused on data engineering and integration.
Architect Scalable Solutions: Design and implement end-to-end data pipelines using Snowflake, dbt, Kafka, and modern ELT/ETL practices.
Integration Expertise: Develop APIs and event-driven integrations that are performant, maintainable, and future-ready.
Modernize Systems: Transform legacy data flows into cloud-native architectures.
Collaborate Across Teams: Partner with product owners, architects, and stakeholders to translate business needs into technical solutions.
Ensure Quality & Governance: Drive best practices in CI/CD, testing, and data governance.
Security & Compliance: Maintain adherence to industry standards for security and auditability.
Innovate Continuously: Evaluate emerging tools and technologies to optimize data delivery and integration.

Required Qualifications

Proven experience in technical leadership within data engineering or integration teams.
Deep expertise in SQL, Snowflake (data modeling, optimization, streaming), and event-based architecture (Kafka, Azure Event Hubs, Amazon Kinesis).
Hands-on experience with dbt, ADF, ADL, and orchestration tools.
Strong knowledge of ETL/ELT pipelines, data warehousing, and modeling principles.
Familiarity with CI/CD pipelines (GitHub, Jenkins, Maven) and automated testing.
Experience in cloud environments (AWS or Azure) and Agile delivery models.
Exceptional communication skills and ability to influence across teams.
Strategic thinker with strong problem-solving and decision-making capabilities.

Preferred Qualifications

Snowflake certification and scripting skills (Python preferred).
Background in Life Insurance or Financial Services.
Bachelor’s degree in Computer Science or related field.

No 3^rd parties or C2C Inquiries, please. Direct applicants only. No visa sponsorship available for this role.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: moderns
Position Id: 118601
Posted 6 hours ago

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Systems Analyst 4

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Job Details

Skills

Summary

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