Snr Data Engineer (Ref: 196942)

We are partnering with the food-focused industries to identify exceptional data engineers who can propel operations, product quality, and customer experience. As an external recruitment partner, we align with the client’s strategic goals while safeguarding candidate confidentiality and delivering a seamless hiring journey.

We are seeking a Senior Data Engineer to join our client in Miami, FL. This role centers on building robust data platforms that empower analytics and data-driven decision making across manufacturing, hospitality, and food service operations. The successful candidate will design, develop, and maintain scalable data pipelines, data models, and governance frameworks that enable reliable reporting, advanced analytics, and real-time insights. You will collaborate with data scientists, software engineers, and business stakeholders to translate complex data needs into practical, scalable solutions. Responsibilities include constructing ETL/ELT processes, data quality monitoring, schema evolution, performance tuning, and ensuring data security and compliance. The ideal candidate will demonstrate leadership in data architecture, mentoring teammates, and driving best practices across the data stack.

• Design and implement scalable data pipelines (ETL/ELT) to ingest, transform, and organize data from diverse sources.
• Build and maintain data models, warehouses, and data lakes to support reporting and analytics needs.
• Establish data quality metrics, monitoring, and lineage to ensure trust in the data product.
• Collaborate with data scientists, analysts, and software engineers to translate business problems into data solutions.
• Define data governance policies, security controls, and access management in line with compliance requirements.
• Lead data architecture discussions and mentor junior engineers on best practices.

• Advanced proficiency in SQL and experience with distributed data processing frameworks (Spark, Flink, or similar).
• Experience with cloud data platforms (AWS, GCP, or Azure) and data warehousing concepts (Snowflake, Redshift, BigQuery).
• Strong programming skills (Python, Scala, or Java) for data processing tasks.
• Exposure to container orchestration and modern data tooling (Kubernetes, Airflow, dbt, etc.).
• You should understand data governance, metadata management, and security considerations (principles, and controls).
• Excellent communication and stakeholder management skills; ability to translate technical concepts for non-technical audiences.

• Medical, dental, and vision coverage for employees and dependents
• Competitive compensation package with performance-based incentives
• 401(k) with company match and retirement planning resources
• Generous paid time off and holidays
• Professional development budget for training and certifications
• Flexible work arrangements and hybrid schedule in Miami

This position sits within the broader data & analytics function, partnering with product, operations, and sales to drive data-powered outcomes across the organization. The role emphasizes building scalable data platforms and fostering a culture of data literacy and governance.