About this opportunity
Compunnel, Inc. lists this Principal Data Engineer opportunity in omaha, Nebraska. Review the employer’s description below for duties, qualifications and application requirements.
Job description
We are seeking a Principal Data Engineer to lead the design, development, and evolution of enterprise data engineering practices and platforms. This role requires a hands‑on technical leader who can define standards, build scalable data solutions, and drive modernization initiatives across cloud and on‑prem environments. The ideal candidate will bring strong expertise in modern data tools and architectures, along with the ability to mentor teams and deliver high-quality, analytics‑ready data solutions.
Key Responsibilities
Define and implement enterprise data engineering standards, frameworks, and best practices
Establish scalable development patterns, coding standards, and operational processes
Develop and maintain documentation, runbooks, and support processes to improve operational efficiency
Identify and address technical debt across data platforms
Architect and deliver scalable data solutions across cloud and on‑prem environments
Build and optimize data pipelines, ingestion frameworks, transformation processes, and consumption layers
Deliver high‑quality, analytics‑ready datasets for business use
Write and optimize complex SQL queries and transformations
Develop Python‑based workflows, automation, and data processing solutions
Troubleshoot and resolve performance and pipeline issues
Implement DevOps/DataOps practices including CI/CD pipelines, automated testing, and deployment processes
Improve reliability, scalability, and development velocity across teams
Mentor and guide data engineers through design discussions, code reviews, and knowledge sharing
Collaborate with business and technology stakeholders to translate requirements into scalable solutions
Analyze operational workflows (e.g., service queues) to identify patterns and improve support processes
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
8+ years of experience in data engineering or data architecture
Proven experience building and scaling data engineering capabilities in enterprise environments
Strong understanding of data lifecycle, data modeling, and analytics requirements
Advanced SQL skills, including query optimization and performance tuning
Strong experience with Python for data engineering and automation
Hands‑on experience with modern data tools such as SQL Server, Informatica, Azure Data Factory, Databricks, Snowflake, dbt, and Dagster
Strong knowledge of ETL/ELT pipelines, data warehousing, and lakehouse architectures
Experience with Git‑based workflows and CI/CD practices
Strong problem‑solving, analytical thinking, and communication skills
Ability to lead through influence, mentorship, and collaboration
Ability to work in a fast‑paced and evolving environment
Preferred Qualifications
Experience with data governance, lineage, or cataloging tools
Experience designing and implementing enterprise‑scale data platforms
Strong leadership experience in setting technical standards and best practices
Experience improving operational processes through automation and documentation
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Worksite address
omaha, NE, 68197, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.