Senior Data Engineer

Jobtailor; Oskaloosa (IA); On-site; USD 110,000 - 150,000; Full time

Job summary

Jobtailor seeks an experienced Senior Data Engineer to design and implement enterprise semantic models, data pipelines, and scalable architectures that power analytics and AI initiatives. You will lead data quality, governance, and security practices across cloud-based platforms, mentor engineers, and drive CI/CD and observability to ensure production reliability.

Collaborate with business stakeholders to translate needs into maintainable data solutions and document technical decisions for

Qualifications

• Bachelor-level degree or equivalent combination of education and experience.
• 5–7 years designing, developing, and supporting enterprise data platforms.
• Experience building cloud-based data integration and analytics solutions.
• Strong knowledge of data architecture and scalable data solutions for analytics and AI.
• Analytical and troubleshooting skills for complex data challenges.
• Promotes data quality, governance, security, and privacy best practices.
• Ability to lead, mentor, and share knowledge within a team.
• Excellent cross-functional communication to align business and tech goals.
• Ability to work independently, prioritize, and own responsibilities in a dynamic environment.
• Document technical designs clearly for operational effectiveness.

Responsibilities

• Design and implement enterprise semantic and ontology models for analytics and AI.
• Establish data quality and validation frameworks across the organization.
• Partner with stakeholders to design data pipelines aligned with business needs.
• Architect scalable data engineering patterns for data warehouses and lake houses.
• Develop and maintain CI/CD processes and engineering best practices.
• Integrate data lineage, metadata management, and observability into data solutions.
• Contribute to data governance, security, and compliance initiatives including RLS.
• Provide technical leadership through code reviews, mentoring, and knowledge sharing.

Skills

Data Modeling

Data Engineering Principles

Analytics Solutions Development

Data Quality Frameworks

Data Lineage

Metadata Management

Row Level Security

Performance Optimization

Troubleshooting

Technical Documentation

Education

Bachelors degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field; or equivalent combination of education and experience.

Tools

Data Warehouses

Lake Houses

CI/CD Tools

Cloud Platforms

Musco Solutions

Job description

• 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

• 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.

Core Competencies

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 Architecture
• Cloud-Based Data Integration
• Data Governance
• Technical Leadership
• CI/CD Processes

ATS Optimization Keywords

Hard Skills

• Data Modeling
• Data Engineering Principles
• Analytics Solutions Development
• Data Quality Frameworks
• Data Lineage
• Metadata Management
• Row Level Security (RLS)
• Performance Optimization
• Troubleshooting
• Technical Documentation

Soft Skills

• Analytical Skills
• Interpersonal Skills
• Communication Skills
• Problem-Solving
• Team-Oriented Mindset

Industry Keywords

• Enterprise Data Platforms
• Data Governance
• Data Integrity
• Compliance Initiatives
• AI Solutions

Tools & Technologies

• Data Warehouses
• Lake Houses
• CI/CD Tools
• Cloud Platforms
• Musco Solutions