Senior Data Engineer

Senior Data Engineer at SoTalent Senior Data Engineer at SoTalent in Kingston, New Jersey Posted in 2 days ago.

Type:

full-time

Job Description:

Job Title :

Senior Data Engineer Location :

Princeton, New Jersey, United States Job Type :

Full Time Our Client is Looking a talented Senior Data Engineer - Research & Data Platforms to support the development of enterprise-grade data products that enable data-driven innovation in research and development. This role plays a critical part in building scalable data pipelines and ensuring high-quality data availability across complex, multi-source environments. Key Responsibilities Data Engineering & Pipeline Development Design, develop, and maintain scalable, high-performance data pipelines Build robust data workflows to support enterprise data products and analytics use cases Ensure efficient data ingestion, transformation, and delivery across platforms Data Integration & Management Integrate data from diverse internal and external sources while ensuring consistency and reliability Implement best practices for data governance, quality, and security Maintain structured and accessible data models aligned with business needs Performance & Optimization Optimize data processing pipelines for scalability, performance, and cost efficiency Monitor pipeline health and resolve performance bottlenecks Ensure reliability and availability of data systems Collaboration & Stakeholder Engagement Partner with data scientists, analysts, and business stakeholders to understand data requirements Support development of analytics, machine learning, and reporting solutions Work cross-functionally to drive data platform improvements Documentation & Continuous Improvement Maintain comprehensive documentation for data pipelines, architectures, and workflows Stay updated with the latest data engineering tools, cloud technologies, and best practices Identify opportunities for automation, efficiency improvements, and innovation What We're Looking For Technical Expertise Strong experience in data engineering, pipeline development, and large-scale data processing Expertise in Databricks and modern data lakehouse architectures Proficiency in SQL and programming languages such as Python, Java, or Scala Hands-on experience with cloud platforms (AWS, Azure, or GCP) Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) Familiarity with ETL tools and data integration frameworks Analytics & Data Management Strong understanding of data modeling, governance, and quality frameworks Experience working with large-scale, multi-source datasets Exposure to analytics, reporting, or machine learning workflows Collaboration & Communication Excellent problem-solving and analytical skills Strong communication and ability to work in cross-functional teams Ability to translate technical concepts into business-relevant insights

Qualifications Required:

Bachelor's or Master's degree in Computer Science, IT, or related field 5-7 years of experience in data engineering or related roles Strong experience with Databricks and SQL-based data systems

Preferred:

Experience with data visualization tools (e.g., Tableau, Power BI) Understanding of machine learning concepts and data science workflows Experience in regulated industries (e.g., healthcare, pharmaceuticals) Familiarity with data privacy and compliance standards