Lead Data Engineer at Waste Harmonics Keter
Waste Harmonics Keter · Stamford, United States Of America · Onsite
- Senior
- Office in Stamford
About Us
Over the past 25 years, Waste Harmonics Keter has been at the forefront of the waste and recycling industry, delivering innovative, data-driven solutions. We help companies right-size their waste operations and get out of the waste business with industry-leading expertise, state-of-the-art waste technologies, and industry-leading customer service.
Visit Waste Harmonics Keter for more information.
Role Purpose
The Data Engineer designs, builds, and optimizes scalable, reusable, and performance-oriented data infrastructure that supports enterprise-wide reporting and analytics needs. The role aligns with modern data platform architecture and engineering best practices to ensure long-term maintainability, flexibility, and data trust.
Key Responsibilities
- Design, build, and maintain data pipelines to support reporting, analytics, and business intelligence.
- Develop and optimize scalable ETL/ELT processes using modern frameworks (e.g., dbt, Azure Data Factory, Fabric).
- Implement data models that support reporting and analytics needs (e.g., star schema, slowly changing dimensions).
- Ensure data quality, lineage, and observability for reliable business use.
- Collaborate with cross-functional teams to deliver integrated data solutions across the enterprise.
- Troubleshoot and optimize pipeline performance and SQL queries.
- Deliver documentation for technical workflows, transformations, and logic.
- Support governance by applying security, access control, and compliance standards in cloud environments.
Core Competencies & Behaviors
- Technical Excellence: Strong understanding of data architecture, modelling, and transformation flows.
- Problem Solving: Able to troubleshoot complex performance issues and propose efficient solutions.
- Collaboration: Works effectively with analysts, engineers, and business teams to deliver end-to-end solutions.
- Continuous Improvement: Applies CI/CD, version control, and best practices to improve workflow efficiency.
- Detail Orientation: Ensures data accuracy, completeness, and consistency across systems.
- Adaptability: Thrives in a modern, cloud-based data environment and adapts to evolving technologies.
Experience & Knowledge
- Experience building and maintaining cloud-based data pipelines (e.g., Azure, Snowflake, Fabric).
- Hands-on use of orchestration tools and ETL/ELT frameworks (dbt, ADF).
- Strong knowledge of data modelling principles and data architecture concepts.
- Experience with CI/CD pipelines, version control (e.g., Git), and modern data stack practices.
- Familiarity with monitoring and observability tools for pipelines.
- Understanding of security and access controls in cloud data platforms.
Qualifications
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience).
- Proficiency in SQL and modern data stack tools (dbt, Snowflake, Azure Data Factory, Fabric).
- Strong technical documentation and communication skills.
Waste Harmonics Keter Comprehensive Benefits Package
- Competitive Compensation
- Annual Bonus Plan at Every Level
- Continuous Learning and Development Opportunities
- 401(k) Retirement Savings with Company Match; Immediate Vesting
- Medical & Dental Insurance
- Vision Insurance (Company Paid)
- Life Insurance (Company Paid)
- Short-term & Long-term Disability (Company paid)
- Employee Assistance Program
- Flexible Spending Accounts/Health Savings Accounts
- Paid Time Off (PTO), Including birthday off, community volunteer hours and a Friday off in the summer
- 7 Paid Holidays