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Data Engineer
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. This position is on site in Victor, NY or Stamford, CT.
Visit Waste Harmonics Keter for more information.
Are you looking for a role that allows you to build systems from scratch and leave a lasting impact? The Data Engineer at Waste Harmonics Keter (WHK) is responsible for providing engineering capability to design, build, and maintain scalable data pipelines and models that support analytics, reporting, and operational decision-making. This role focuses on automating transformations using scalable Microsoft Fabric-native processes, optimizing performance to reduce compute waste, and standardizing reusable gold datasets.
Working cross-functionally, the Data Engineer translates business requirements into technical solutions while ensuring data integrity, accessibility, and governance. This is a unique opportunity to build systems from the ground up , contributing to a modern, scalable, and high-performing data ecosystem that will enhance WHK’s data-driven strategy.
** This position does not provide visa sponsorship now or in the future.
Key Responsibilities
Data Engineering & Pipeline Development
- Design, build, and maintain scalable data pipelines in cloud environments (e.g., Microsoft Fabric, Azure, Snowflake)
- Develop and optimize ETL/ELT workflows using tools such as dbt and Azure Data Factory.
- Troubleshoot and resolve performance issues in pipelines and SQL queries.
Data Modeling & Architecture
- Design and implement data models to support reporting and analytics needs.
- Apply best practices in data architecture, including data layering, lineage, and transformation logic. Ensure consistency and scalability across data systems.
Collaboration & Delivery
- Partner with cross-functional teams to deliver integrated data solutions.
- Translate business requirements into technical specifications and data products. Support analytics and reporting teams with reliable, well-structured data.
Data Governance & Quality
- Ensure data accuracy, integrity, and reliability across pipelines.
- Maintain documentation for data workflows, models, and processes. Support monitoring and observability of data systems.
Continuous Improvement & Innovation
- Identify opportunities to improve performance, automation, and scalability.
- Stay current with emerging tools, technologies, and best practices in data engineering. Contribute to building a modern, scalable data ecosystem at WHK.
Qualifications
- Bachelor’s degree in computer science, Information Systems required or HS diploma + 5yrs of data engineering will be considered.
- 0-2 years developing and scaling dbt projects.
- Proficient experience with modern data stack tools I.e. Microsoft Fabric, Azure, Snowflake)
- Proficiency in SQL & Python and data transformation workflows.
- Familiarity with data modeling concepts (e.g., star schema, slowly changing dimensions). Understanding CI/CD and version control practices.
Core Competencies
Technical Expertise & Engineering Capability
- Designing, building, and maintaining scalable data pipelines in cloud environments (Azure, Snowflake, Fabric)
- Developing and optimizing ETL/ELT workflows using tools like dbt and Azure Data Factory
- Proficiency in SQL, Python, and data transformation workflows
- Understanding of data modeling concepts (star schema, slowly changing dimensions)
- Knowledge of CI/CD and version control practices
Analytical & Problem-Solving Skills
- Troubleshooting and resolving performance issues in pipelines and queries
- Optimizing data processes to reduce compute waste and improve efficiency
- Identifying opportunities for continuous improvement, automation, and scalability
Collaboration & Communication
- Partnering with cross-functional teams (analytics, operations, business stakeholders)
- Translating technical concepts into understandable language for non-technical teams
- Supporting analytics and reporting teams with reliable, well-structured data
Planning, Execution & Continuous Improvement
- Designing and implementing scalable, sustainable data architecture
- Identifying opportunities to improve efficiency, automation, and performance Driving results while managing complex data environments
Good to know:
- Able to travel 10% of the time
- Schedule flexibility to work early hours (anytime between 6am and 9am) This position does not provide visa sponsorship now or in the future
Waste Harmonics Keter Comprehensive Benefits Package
- Medical & Dental Insurance
- Vision Insurance (Company Paid)
- Flexible Spending Accounts/Health Savings Accounts
- Life Insurance (Company Paid)
- Short-term & Long-term Disability (Company paid)
- Competitive Compensation
- Annual Bonus Plan at Every Level
- 401(k) Retirement Savings with Company Match; Immediate Vesting
- Continuous Learning and Development Opportunities
- Employee Assistance Program
- Paid Time Off (PTO), Including birthday off, community volunteer hours and a Friday off in the summer 7 Paid Holidays
At Waste Harmonics Keter, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome candidates from all backgrounds to apply.
The position offers start time flexibility (before 8:00am) for those candidates that would like to have an early start.
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