Senior Data Engineer

Musco Lighting

Senior Data Engineer developing enterprise data solutions for Musco Sports Lighting. Involves designing data architectures and mentoring team members in a collaborative environment.

Posted 7/24/2026full-timeOskaloosa • Iowa • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing enterprise data solutions, including semantic models and data pipelines, while ensuring data quality, governance, and compliance. Proven ability to provide technical leadership and mentor teams in data engineering best practices.

Highest-signal resume keywords

Data ArchitectureCloud-Based Data IntegrationData GovernanceTechnical LeadershipCI/CD Processes

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ModelingData Engineering PrinciplesAnalytics Solutions DevelopmentData Quality FrameworksData LineageMetadata ManagementRow Level Security (RLS)Performance OptimizationTroubleshootingTechnical Documentation

Soft Skills

Analytical SkillsInterpersonal SkillsCommunication SkillsProblem-SolvingTeam-Oriented Mindset

Tools & Technologies

Data WarehousesLake HousesCI/CD ToolsCloud PlatformsMusco Solutions

Industry Keywords

Enterprise Data PlatformsData GovernanceData IntegrityCompliance InitiativesAI Solutions

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Design and implement enterprise semantic and ontology models that enable advanced analytics, AI, and LLM-driven solutions.
Establish and maintain enterprise data quality and validation frameworks that identify, monitor, and communicate data integrity issues, ensuring trusted and reliable data across the organization.
Partner with business and technology stakeholders to design data pipelines and solutions that align with evolving business needs and strategic objectives.
Architect scalable data engineering patterns and optimize data solutions for performance, scalability, observability, and long-term maintainability across data warehouses and lake houses.
Develop and maintain CI/CD processes, deployment standards, and engineering best practices that support reliable and efficient delivery of semantic models and data solutions.
Integrate data lineage, metadata management, and observability capabilities into data solutions to improve transparency, traceability, and operational effectiveness.
Contribute to enterprise data governance, security, and compliance initiatives by implementing data access controls, including Row Level Security (RLS), and promoting adherence to organizational standards.
Provide technical leadership through code reviews, mentoring, and knowledge sharing to elevate engineering practices and support the development of data modeling and analytics engineering capabilities.

Requirements

What you’ll need

Bachelors degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field; or equivalent combination of education and experience.
Minimum of 5-7 years of experience designing, developing, and supporting enterprise data platforms, analytics solutions, and data architectures.
Experience developing cloud-based data integration and analytics solutions using modern data engineering technologies.
Advanced knowledge of data architecture, modeling, integration, and engineering principles with the ability to design scalable, maintainable, and high-performing data solutions that support analytics and AI initiatives.
Strong analytical and troubleshooting skills with the ability to identify, diagnose, and resolve complex data and technology challenges.
Ability to promote data quality, governance, security, and privacy best practices to ensure trusted, compliant, and well-managed data assets.
Ability to provide technical leadership, conduct knowledge sharing, and mentor less experienced team members to support engineering excellence and team growth.
Ability to communicate complex technical concepts effectively and build collaborative relationships across business and technology teams to achieve shared objectives.
Ability to work independently, prioritize effectively, and take ownership of responsibilities in a dynamic and evolving environment.
Ability to create, maintain, and share clear technical documentation that supports operational effectiveness, solution sustainability, and organizational knowledge transfer.
Strong interpersonal and communication skills.
Innovative problem-solving with a team-oriented mindset.
Familiarity with Musco solutions is a plus.

Benefits

Comp & perks

varying health insurance plans
vision and dental insurance
PTO
401k
profit sharing
flexible work arrangements
professional development