Data Engineer

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;} Data Engineer Location: Malvern, Pennsylvania (Hybrid - 3 days onsite: Tuesday, Wednesday, Thursday) | Type: Contract-to-Contract (C2C) | Rate: $62/hour About the Opportunity This position requires a highly skilled Data Engineer with extensive experience designing database systems and writing robust ETL processes for both real-time and offline analytic processing. The role demands expert-level proficiency in Spark data processing applications using Python and PySpark, as well as advanced SQL development and Tableau reporting. Why Join Us? Work with cutting-edge AWS cloud technologies including ECS, Glue, S3, Redshift, and Lambda Opportunity to build scalable data architecture supporting business-critical analytics Collaborate with cross-functional teams to drive data-driven decision making Flexible hybrid work arrangement with structured onsite collaboration Key Responsibilities Troubleshoot software and processes for data consistency and integrity across multiple systems Integrate data from various sources to enable business partners to generate insights and make informed decisions Build and maintain AWS cloud architecture utilizing services such as ECS, Glue, S3, Redshift, Step Functions, IAM, CloudWatch, CloudFormation, Lambda, Secrets Manager, and SageMaker Design and implement robust ETL processes for both real-time and batch data processing Develop and optimize Spark applications using Python and PySpark for large-scale data transformation Qualifications 8+ years of US-based experience in data engineering roles Expert proficiency in Spark, Python, PySpark, SQL, and Tableau Strong experience with AWS cloud services including Glue Crawler, Step Functions, IAM, CloudWatch, CloudFormation, Secrets Manager, and SageMaker Proven track record building AWS cloud architecture ensuring data consistency and integrity Experience with ETL processes for both real-time and offline analytic processing Strong problem-solving skills with attention to detail and data quality Ready to Apply? Submit your resume (5 pages maximum, Word document format) with your full legal name clearly displayed. Please ensure your LinkedIn profile is included and remove any Azure experience from your resume as this role focuses exclusively on AWS technologies. Contact: muthu@dprsolutionsinc.com Phone: 571-933-9984 Take the next step in your career!