AWS Data Engineer

Job Information Date Opened 03/05/2026 Job Type Contract Industry Financial Services Work Experience 10 + years Salary $60/Hr City Fort Mill State/Province South Carolina Country United States Zip/Postal Code 29707 About Us At Appex Innovations, we believe in the power of technology to transform healthcare, we believe in being nimble and in continual innovation, we believe that every customer is unique and we believe in listening to our clients. With our deep expertise in the health care domain, solid resource base, constant industry interface and the drive to be the best in the industry, we strive to provide services that re-define health care in the years to come. The secret to our success is Appex Innovations commitment to our people and our work. We thrive on teamwork, intelligence, and innovation. Our bright and energetic employees, hailing from over different parts of the world, share a passion for leading the way to improved healthcare outcomes. Together we work diligently to add value to our clients. Job Description We have a job opportunity as an AWS Data Engineer with our Partner in Fort, Mill, SC for a Hybrid role. Job Details: Job Title: Sr.Data Engineer (Mid–Senior Level) – AWS & Streaming Experience Level: Mid-Senior (10+ Preferred) Location: Fort Mill, SC (hybrid - 3 days WFO) Type: Contract-W2 Domain: Financial Services Role Summary: We are seeking a Mid–Senior Data Engineer with strong expertise in AWS-based data engineering, real-time streaming technologies, and enterprise-grade data quality frameworks. The ideal candidate will design, build, and optimize scalable batch and streaming data pipelines, implement robust data validation and monitoring processes, and support mission-critical analytics platforms. Key Responsibilities: Develop and maintain scalable ETL/ELT pipelines using AWS Glue, PySpark, and Python Build event-driven workflows using AWS Lambda Design and manage real-time streaming solutions using Kafka, KSQL, and Apache Flink Implement and enforce comprehensive data quality frameworks, including validation, profiling, monitoring, and reconciliation Optimize data processing performance, scalability, reliability, and cost in cloud environments Collaborate with cross-functional teams to deliver reliable, production-grade data platforms and ensure data integrity across the pipeline Required Skills: Strong hands-on experience with Python and PySpark Proven expertise in AWS Glue, Lambda, and other cloud-native data services Solid experience with the Kafka ecosystem (topics, partitions, consumer groups, streaming patterns) Demonstrated experience building and supporting data quality frameworks (validation rules, reconciliation checks, profiling, anomaly detection) Strong understanding of distributed data processing and scalable architecture patterns Good-to-Have Skills: Experience with Apache Flink for real-time stream processing and stateful computations Knowledge of KSQL or other streaming SQL engines Exposure to CI/CD pipelines, IaC (Terraform/CloudFormation), and DevOps practices Familiarity with data lake/lakehouse architectures and table formats such as Iceberg, Delta, or Hudi Experience working in enterprise or financial data environments