Senior Data Engineer

The Swift Group is a privately held, mission‑driven and employee‑focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe. We are looking for a Senior Data Engineer to join our dynamic data engineering team in Tysons Corner, VA. In this role, you will design, build, and operationalize robust and scalable data pipelines to enable secure data brokering and exchange across diverse producers and consumers. You will work hands‑on with AWS cloud environments, automation tools, and modern data frameworks to drive reliability, performance, and innovation across distributed data ecosystems. Responsibilities Design, build, and maintain scalable, cloud‑based data pipelines and supporting infrastructure Collaborate with internal teams and external partners to broker and exchange data through APIs, S3, and other secure interfaces Operationalize data pipelines leveraging Python‑native and AWS‑native tools for ingestion, transformation, and delivery Provide day‑to‑day operational support, including Tier 2/3 troubleshooting and incident response for production data pipelines Automate deployment and monitoring processes using Infrastructure‑as‑Code (IaC) tools such as Terraform, CloudFormation, or Ansible Implement data security and compliance controls aligned with RMF principles across multiple classification domains Participate in Agile development activities and contribute to continuous improvement of data engineering workflows Stay informed on emerging data engineering technologies and best practices to drive innovation within the team Requirements US citizenship with an active TS/SCI with CI Polygraph required 4+ years of hands‑on experience in data engineering, data pipeline development, or cloud data systems Proficiency in designing and deploying data pipelines leveraging AWS services across multiple classification domains (e.g., IL5 to IL6+) Experience with Infrastructure‑as‑Code (IaC) tools such as Terraform, CloudFormation, or Ansible Understanding of RMF security principles and experience implementing security controls for cloud data systems Strong programming and scripting skills in Go, Python, and Bash Experience with data pipeline tools and platforms such as NiFi, Hadoop, HDFS, Kafka, or Cloudera Data Platform Proficiency with Linux environments and troubleshooting distributed data systems Excellent communication skills and ability to collaborate effectively with cross‑functional teams Desired Experience Experience working with data lake and big data technologies such as Spark, Accumulo, or Elasticsearch Experience automating data delivery workflows and monitoring systems for high availability Familiarity with Agile methodologies and collaboration tools like Jira and Confluence Background in performance optimization and tuning of large‑scale data pipelines Please note: we are not working with staffing agencies to fill these positions and are not accepting any unsolicited resumes from agencies. #Onsite The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class. Pay Range: $49,996.80 - $290,004.00 Pay ranges are a general guideline and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, work experience, education, certifications, Federal Government contract labor categories, and contract wage rates. At The Swift Group and Subsidiaries, you will receive comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits. #J-18808-Ljbffr