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Job Description
Position: Lead Data Engineer
Type: Direct Hire
Over the past 25 years, our client has been at the forefront of the waste and recycling industry, delivering innovative, data-driven solutions. They 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.
We are excited to grow our Data & Insights Team and meet talented professionals who want to make an impact. At this time, we are unable to offer visa sponsorship for the Lead Data Engineer role. Candidates must have authorization to work in the United States now and in the future without the need for sponsorship.
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.
Client 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
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Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.