Senior Data Engineer: Scalable Pipelines & Data Mesh

Indeed; Cheyenne (WY); On-site; USD 119,000 - 250,000; Full time

Job summary

Indeed in Cheyenne, WY is seeking a seasoned Data Engineer to integrate diverse data sources into unified data models, build scalable pipelines in a big-data environment, and support analytics across global functions. You’ll refine lake and warehouse data, applying advanced modeling and automation to deliver trusted insights.

The role requires 5+ years of experience with SQL/NoSQL, Airflow, and data modeling.

Qualifications

• Requires a Bachelor’s degree, and a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD without experience
• Experience using AI-powered development tools (GitHub Copilot, ChatGPT, or similar) to accelerate code development, debugging, and documentation
• Extensive experience working with relational, SQL, and NoSQL databases
• Expertise in workflow orchestration and pipeline tools such as Airflow
• Expert-level understanding of data pipeline fundamentals, including performance tuning and large-scale data processing
• Deep understanding of data modeling fundamentals, including designing scalable analytical data models
• Experience improving data quality, reliability, and performance through automation and engineering best practices

Responsibilities

• Designing and implementing reliable, scalable, and efficient data pipelines (ETLs) to integrate data from a variety of sources into Indeed’s data lake and cloud data warehouse
• Designing, implementing, and optimizing data models and data transformations that align with warehouse standards and support evolving business needs across cloud-based, distributed data processing systems
• Developing and maintaining code-based data pipelines capable of handling millions of events per day while improving the performance, reliability, and maintainability of data pipelines and data infrastructure
• Analyzing and resolving system performance issues through query tuning, data model revisions, and other optimization techniques, while implementing automated testing to help enforce data quality standards
• Leading or contributing to continuous improvements in development standards, processes, tooling, and AI-assisted development practices to improve code quality, development velocity, and documentation
• Collaborating with engineering, product leadership, partner teams, and vendors to define project scope, evaluate technologies, and provide technical guidance for data solutions
• Providing documentation, technical guidance, training, and consulting for data warehouse users

Skills

AI-powered development tools

SQL & NoSQL

Data modeling

Data pipelines

Big data processing

Education

Bachelor’s degree in related field

Master’s degree with experience

PhD without experience

Tools

Airflow

Job description

Indeed in Cheyenne, WY is seeking a seasoned Data Engineer to integrate diverse data sources into unified data models, build scalable pipelines in a big-data environment, and support analytics across global functions. You’ll refine lake and warehouse data, applying advanced modeling and automation to deliver trusted insights.

The role requires 5+ years of experience with SQL/NoSQL, Airflow, and data modeling.