BIG DATAENGINEER

Big Data Engineer – Join Our Team .job-posting-container {font-family: Arial, sans-serif; line-height: 1.6; color: #333; margin: 0; padding: 20px; background-color: #ffffff; box-sizing: border-box;} .job-posting-container * {box-sizing: border-box;} .job-posting-content {background-color: #ffffff; padding: 30px; max-width: 800px; margin: 0 auto; box-shadow: 0 0 10px rgba(0,0,0,0.1); border-radius: 10px;} .job-posting-container h1, .job-posting-container h2 {color: #004080; margin: 15px 0;} .job-posting-container h1 {font-size: 22px;} .job-posting-container h2 {font-size: 20px; border-bottom: 1px solid #ccc; padding-bottom: 5px; margin-top: 30px;} .job-posting-container ul {margin-left: 20px;} .job-posting-container .section {margin-bottom: 25px;} .job-posting-container .highlight {background-color: #eef6ff; padding: 15px; border-left: 4px solid #004080; margin-bottom: 15px; border-radius: 5px;} .job-posting-container strong {color: #333;} .job-posting-container li {margin-bottom: 8px;} Big Data Engineer Location: Jersey City, New Jersey, USA · Onsite / Hybrid (NY/NJ) · Mississauga, CAN (onsite/hybrid options noted) Employment type: Full-Time · Tax / engagement: W2 · Estimated pay range: $100–$120 per hour About this opportunity We are recruiting a seasoned Big Data Engineer for a high-impact engagement with a major financial services client, with employment on the payroll of a third-party employer. The role focuses on designing and delivering scalable data solutions to support large-scale analytics and production data pipelines. Why Join Us? Competitive pay and a chance to work on large-scale data platforms for a leading financial services client. Hands-on use of modern Big Data technologies including Python and PySpark, with opportunities to work across batch and streaming pipelines. Exposure to architecture and design decisions, with scope for technical leadership and professional growth. Collaborative, delivery-focused teams and an environment that values code quality and operational excellence. Key Responsibilities Develop and maintain scalable data processing applications using Python and PySpark for large-scale analytics. Design and implement distributed data pipelines and batch/stream processing systems using Hadoop, Hive, and Spark technologies. Collaborate with cross-functional teams to define requirements, architecture, and deliver high-quality software components. Ensure code quality through unit testing, code reviews, version control and clear documentation. Monitor, troubleshoot, and optimize application performance with a focus on scalability and reliability. Participate in full software development lifecycle activities and on-time delivery of production-ready code. Qualifications Typically 8+ years of experience in Big Data engineering or similar roles. Strong experience with Python and PySpark for large-scale data processing. Practical knowledge of Hadoop ecosystem components (Hive, Spark SQL) and UNIX environments. Experience designing, building and deploying data pipelines, with a focus on performance and operational stability. Solid problem-solving, communication skills and the ability to work independently in a delivery-oriented setting. Ready to Apply? If you are an independent, delivery-focused Big Data Engineer with deep Python and PySpark experience, we encourage you to apply. Candidates who require sponsorship or third-party arrangements will not be considered for this engagement. Contact: narsing@dprsolutionsinc.com Phone: +1 (520) 282-5054 Take the next step in your career!