About the Role
The role involves developing robust data pipelines, optimizing data storage, and enabling data accessibility for analytics and AI initiatives while collaborating with cross-functional teams.
Responsibilities
- Design and implement data pipelines for large-scale datasets
- Ensure data accuracy, consistency, and availability across systems
- Collaborate with data scientists and analysts to understand requirements
- Optimize data workflows for performance and reliability
- Maintain and improve existing ETL processes
- Support data governance and compliance standards
- Monitor data pipeline health and troubleshoot issues
- Work with cloud-based data storage and processing platforms
- Document data models, pipelines, and system architecture
- Contribute to data quality assurance practices
- Participate in code reviews and technical design discussions
- Integrate new data sources into the data ecosystem
- Support real-time and batch data processing needs
- Evaluate and recommend data engineering tools and frameworks
- Ensure scalability and fault tolerance in data systems
- Assist in defining data standards and best practices
- Collaborate on data warehouse design and maintenance
- Improve data accessibility for non-technical users
- Work with infrastructure teams on deployment automation
- Support incident response related to data systems
- Drive continuous improvement in data engineering processes
- Assist in capacity planning for data infrastructure
- Contribute to security practices for data access and storage
- Stay current with advancements in data technologies
- Participate in on-call rotations for critical systems
Compensation
$140,000 – $180,000 per year
Work Arrangement
Hybrid remote with team meetings in Denver
Team
Part of a growing data platform team within a technology-driven organization
Tech Stack
- Primary languages: Python, SQL
- Cloud: AWS (S3, Redshift, Glue, Lambda)
- Data orchestration: Apache Airflow
- Data processing: Spark, Pandas
- Version control: Git, GitHub
- Infrastructure: Terraform, Docker
- Monitoring: Datadog, CloudWatch
Growth Opportunities
- Access to annual learning stipend for courses and conferences
- Opportunities to lead technical initiatives
- Mentorship programs for career development
- Internal mobility across data and engineering teams
Available for qualified candidates
