Data Engineer

Data Engineer - (Onsite) Job Title: Data Engineer Location: Manhattan, NY (Five days onsite, full-time) Rate: $70 an hour C2C or 1099 Overview Our client is seeking a highly experienced Data Engineer to drive technical execution for enterprise-scale data engineering solutions. The successful candidate will bring deep expertise in big data architecture, hands-on development, and team leadership, with a strong commitment to onsite collaboration at their New York City office. The Position This role empowers the engineer to guide end-to-end technical design, solution development, and quality assurance across mission-critical projects. As the technical lead, the candidate will coordinate with business stakeholders, lead design reviews, and oversee the delivery of robust big data solutions in a fast-paced, collaborative environment. The position requires high proficiency in Spark, Scala, AWS services, and enterprise data platforms. Your Profile • Over 10 years of experience architecting, building, and deploying enterprise big data solutions • Proven hands-on development expertise with Spark, Scala, Python, AWS Glue, Lambda, SNS/SQS, and CloudWatch • Deep SQL skills with preference for Redshift; also experienced in Snowflake data warehousing • Advanced knowledge of ETL/ELT processes, frameworks, and workflow optimization • Skilled at technical documentation, including integration and application designs • Track record of effective communication with management and business stakeholders • Familiar with version control (Git), CI/CD pipelines, and production support best practices • Strong commitment to onsite team culture and knowledge sharing What You’ll Do • Lead technical design and development of scalable big data solutions • Create and review integration/application documentation and participate in peer design reviews • Develop, configure, test, and validate solution components through unit, performance, and standards-based testing • Perform advanced code review and enforce technical best practices throughout development lifecycle • Troubleshoot and resolve complex production issues; tune and optimize environments for robust operation • Support deployment processes and production stability through effective use of Git, CI/CD, and monitoring tools • Uphold rigorous technical standards and champion continuous improvement across project phases Qualifications • Minimum 10 years enterprise data engineering experience, with a focus on Scala, Spark, and AWS technologies • Strong hands-on skills with SQL (preferably Redshift) and Snowflake data platforms • Advanced Python development and scripting capabilities • Demonstrated success in designing and scaling ETL/ELT solutions • Deep understanding of modern data architecture, integration, and performance optimization • Proven ability to lead technical reviews, mentor peers, and deliver under tight deadlines • Commitment to five-day onsite work model in New York