Data Engineer

Job Title: Senior Data Engineer Location: Secaucus, NJ (Remote) Note: We are looking for candidates who can work on W2. We’re looking for a passionate Data Engineer to join our agile team and play a key role in designing, building, and scaling modern data solutions on a cloud platform. In this role, you’ll partner with business stakeholders and technology teams to turn complex data needs into reliable, scalable, and impactful data products that power decision-making across the organization. What You’ll Do • Design, develop, and maintain scalable data pipelines and data products within a cloud ecosystem (GCP preferred). • Build and optimize ETL/ELT workflows using tools such as Dataflow, Dataform, Matillion, or similar. • Develop robust data models using BigQuery or modern cloud data warehouses (e.g., Snowflake) to support analytics and business intelligence. • Deliver impactful data solutions for BI tools like Looker, QuickSight, or other visualization platforms. • Collaborate closely with business and technical stakeholders to gather requirements and translate them into scalable technical solutions. • Write clean, efficient, and well-tested code (SQL, scripts, and procedures) that meets functional and performance standards. • Troubleshoot and resolve data and system issues, providing ongoing support and ensuring high availability of data systems. • Act as a technical mentor, sharing knowledge and promoting engineering best practices within the team. • Partner with external vendors to co-develop and integrate solutions. • Communicate effectively with project leads and team members regarding progress, risks, and solutions. • Ensure compliance with internal standards and contribute to continuous improvement initiatives. What You Bring • Experience: 3–5 years in data engineering or related roles • Education: Bachelor’s degree in Engineering, Technology, or a related field • Strong expertise in cloud data platforms (GCP preferred) • Hands-on experience with data warehousing solutions (Snowflake, BigQuery, or similar) • Proficiency in SQL and data pipeline development • Experience working in Agile environments • Strong problem-solving skills and attention to detail