Big Data Developer

Job Description Job Title: Big Data Engineer Location: Richmond, VA / McLean, VA (Onsite) We are seeking a Big Data Engineer with strong hands-on experience in Python and AWS Infrastructure to support the design, development, and maintenance of scalable data platforms and cloud-based data solutions. The ideal candidate will have prior experience working in enterprise environments and building robust big data pipelines using AWS-native services and infrastructure best practices. Responsibilities • Design, build, and maintain scalable big data pipelines and cloud-based data platforms on AWS. • Develop and optimize data processing solutions using Python for large and complex datasets. • Work with AWS infrastructure components such as S3, EMR, Glue, Redshift, EC2, IAM, and related cloud services. • Support data lake, ETL, and distributed data processing workflows in a production environment. • Monitor data pipeline performance, troubleshoot issues, and ensure system reliability, scalability, and security. • Collaborate with cross-functional teams including data engineers, architects, developers, and business stakeholders to deliver data solutions. Required Skills • Strong experience with Python development for data engineering and large-scale data processing. • Hands-on experience with AWS Infrastructure and AWS cloud services. • Experience building and supporting big data or data warehouse/data lake solutions. • Good understanding of ETL, distributed systems, and cloud-based data architecture. • Experience with AWS services such as S3, EMR, Glue, Redshift, EC2, IAM, Lambda, or CloudWatch is preferred. • Strong problem-solving, debugging, and performance tuning skills. Must Have • Python • AWS Infrastructure • Experience working with enterprise-level environments, preferably from strong end-client backgrounds. Preferred Qualifications • Experience with Spark, PySpark, Airflow, SQL, or data pipeline orchestration tools. • Experience with Infrastructure as Code tools such as Terraform or CloudFormation. • Prior experience in financial services or other large-scale enterprise environments is a plus. Equal Opportunity Statement We are committed to diversity and inclusivity.