Cornerstone Building Brands is a premier exterior building solutions provider serving both the residential and commercial markets across North America. The building products we manufacture are the cornerstone of the communities where people live, work and play -from homes to hospitals, grade schools to grocery stores, manufacturing facilities to municipal buildings and beyond.

Through the core values and consistent behaviors and mindsets embraced by our employees, we have built a culture dedicated to understanding our customers' needs and what matters most to their success. We know that it's our people that make the difference and we are deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized, providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members.

• Data Collection and Integration: Collaborate closely with system administrators and data source owners to establish efficient processes for collecting, aggregating, and integrating data from various sources and systems.
• Data Preparation and Cleaning: Implement data cleaning and transformation techniques to ensure data accuracy, consistency, and completeness. Address data anomalies, inconsistencies, and duplications as part of the data preparation process.
• Data Pipeline Construction: Design, develop, and maintain data pipelines to automate the movement and transformation of data. Ensure data flows smoothly from source to destination, adhering to best practices for data pipeline construction.
• Data Quality Assurance: Establish and enforce data quality standards and procedures. Continuously monitor data quality and proactively identify and rectify data quality issues.
• Scalability and Performance: Optimize data processing pipelines and infrastructure for scalability and performance. Ensure that data operations can handle increasing volumes of data efficiently.
• Collaboration with Data Scientists and ML Engineers (3rd parties): Work closely with internal data scientists and external machine learning engineers to provide them with clean, well-structured data for model development and tuning.
• Security and Compliance: Implement security measures and data governance practices to safeguard sensitive data. Ensure compliance with data privacy regulations and company policies.
• Monitoring and Troubleshooting: Implement monitoring and alerting mechanisms to proactively identify and resolve data pipeline issues. Troubleshoot and resolve data-related incidents in a timely manner.

• 3+ years of experience in data engineering, data cleansing, and data transformation.
• 3+ years of experience in SQL and data manipulation tools (e.g., Python, R, Spark).
• Bachelor's degree in computer science, data engineering, or a related technical field.
• Strong understanding of data quality principles and data cleansing techniques.
• Experience with ETL (Extract, Transform, Load) processes and tools.
• Knowledge of data warehousing concepts and data modeling.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to collaborate effectively with cross-functional teams.
• Self-motivated and capable of working independently to meet project deadlines.

• Core Competencies

• Exceptional communication skills, both written and verbal, to convey complex technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving abilities to identify data quality issues and develop effective solutions.
• Demonstrated ability to work collaboratively in a team environment and make informed decisions.
• Enthusiasm for staying current with industry trends and emerging technologies in data engineering.
• A proactive and results-driven attitude, with a focus on delivering high-quality data solutions. 

Work from home! (Flexibility to go to the office once per month)

Address company: Lindora, Santa Ana, San José, Costa Rica, Parque Empresarial Forum I, Stage 5, Building D, 3rd Floor

Why work for Cornerstone Building Brands?

Our teams are at the heart of our purpose to positively contribute to the communities where we live, work and play.

Full-time 
Schedule: monday to friday 8am to 5pm 
Team members receive medical, dental and vision benefits starting day 1.
Other benefits include paid holidays, life insurance, LTD, STD, trainings, and professional development. You can also join one of our Employee Resource Groups which help support our commitment to providing a diverse and inclusive work environment.
Free virtual English course
Employee Assistance Program