AWS Data Engineer

AWS Data Engineer Opportunity Are you looking to take the next step in your career as an AWS Data Engineer? Let's chat and see if we are a good match! Virtual Service Operations is searching for an AWS Data Engineer to join our team. You'll work with Python, PySpark, SQL, and AWS services like Glue, Redshift, and EMR to deliver secure, reliable, and well-modeled data solutions. Candidates should bring 5+ years of data engineering experience (3+ with AWS). Key Responsibilities Design, develop, and maintain ETL/ELT pipelines that ingest, transform, and load structured and semi-structured data from multiple sources. Build and optimize data solutions using AWS services such as Glue, S3, Lambda, Redshift, EMR, Athena, and Step Functions. Develop data processing jobs in Python, PySpark, and SQL, with a focus on performance, reliability, and maintainability. Model data for data lakes and data warehouses, including schema design, partitioning, and cataloging. Implement data quality checks, monitoring, logging, and alerting for production pipelines. Apply security and compliance best practices (IAM, encryption, least privilege) appropriate for a federal environment. Support CI/CD and infrastructure-as-code practices for data workloads. Collaborate with stakeholders to gather requirements, troubleshoot issues, and document solutions. Required Qualifications Strong proficiency in Python and SQL; experience with PySpark/Spark. Experience building and supporting production ETL pipelines with large datasets. Solid understanding of data warehousing concepts, dimensional modeling, and data lake architecture. Experience with version control (Git) and Agile delivery. Strong communication skills and ability to work with technical and non-technical stakeholders. Preferred Qualifications AWS certifications (Data Engineer – Associate, Solutions Architect, or similar). Experience with Terraform or CloudFormation. Experience with orchestration tools such as Airflow (MWAA) or Step Functions. Familiarity with Databricks, Snowflake, or Informatica. Experience with streaming tools (Kinesis, Kafka). Prior federal government experience, ideally with financial regulatory data (e.g., SEC, FINRA, Treasury, Federal Reserve). Experience working in FedRAMP or other compliance-driven environments. Requirements Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience). 5+ years of experience in data engineering or ETL development. 3+ years of hands-on experience with AWS data services (Glue, S3, Lambda, Redshift, Athena, EMR). This is an onsite role in the DC Metro Area. Active TS/SCI Clearance Please note that this specific position requires U.S. citizenship status. What is Important to Us: You are an excellent communicator in writing and speaking. You have the ability to work independently but also value teamwork. Your problem-solving skills are excellent. You are looking for a job where performance appraisals occur regularly, and you look forward to advancing your career. You seek a community of virtue-centered co-workers and clients. What we offer you: As part of the VSO company, you will be part of a virtue-centered team who value their work and teammates. This is a no-jerk zone. We provide ongoing learning and development opportunities to foster continuous growth. We offer competitive salaries, health benefits, and flexible work arrangements. More About VSO: VSO is a hybrid cloud and managed services consulting firm. Much of VSO's success can be attributed to our deep partnerships with IT services industry leaders such as AWS, IBM, Microsoft and others. VSO leverages numerous other partner relationships so as to provide our customers with optimal support. Additionally, we take pride in taking care of our employees. We offer a wide variety of benefits for eligible employees related to health, retirement, professional development, and more! For more information, please visit our website. Salary Description $220,000K - $260,000K Virtual Service Operations