Job Description

Job Title: Cloud Data Engineer 

Note: (Consultants Must have state exp)

Location:  Lincoln, Nebraska 

Key Responsibilities:

• Design and develop  data pipelines and ELT processes to integrate large, diverse datasets from multiple sources.
• Build and maintain  data models and structures to support enterprise reporting and analytics.
• Collaborate with cross-functional teams to deliver  BI and analytics solutions that meet business needs.
• Optimize data performance by troubleshooting and resolving issues related to large-scale data querying and transformation.
• Participate in the design and documentation of  data processes , including model development, validation, and implementation.
• Contribute to a  positive data safety culture by adhering to data governance and security policies.

Core Competencies:

• Data Structures & Modeling: Design and implement scalable data architectures for structured and unstructured data.
• Data Pipelines & ELT: Develop robust extraction, transformation, and loading processes using modern tools and frameworks.
• Performance Optimization: Monitor and enhance data performance during development and production.

Required Qualifications:

• Bachelor’s degree in  Data Analytics, MIS, Computer Science , or a related field.
• 5+ years of experience in data engineering or data warehouse development, including dimensional modeling.
• 5+ years of experience designing and developing ETL/ELT processes using tools like  SSIS, Databricks, or Python .
• We're looking for a self-motivated team member who can work independently in a fully remote Agile environment - someone who takes ownership of their work, communicates proactively, and drives progress without needing close supervision.

The ideal candidate thrives in a distributed Scrum team, managing their own deliverables and staying accountable through clear, consistent communication.

Job Tags

Remote work

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