Senior Data Engineer

CirrusLabs Job OpportunityWe are CirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners, and community. Our goal is to enable employees to dream, grow, and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values-driven organization. You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve. You are excited about creating change because your skills can help the greater good of every customer, industry, and community. We are hiring a talented data engineer to join our team. If you're excited to be part of a winning team, CirrusLabs is a great place to grow your career.About the RoleThis role requires 10+ years of hands-on experience in data engineering and is a 100% on-site position. The selected candidate will work directly with business stakeholders and engineering teams to build scalable, secure, and high-performing data pipelines and platforms.Must-Have Technical Skills10+ years of overall software/data engineering experience5+ years of experience working with Python in a production environment3+ years of experience with PySpark and distributed data processingStrong experience working with AWS services (especially S3, Glue, EMR, Lambda, Redshift)Proven ability to build and optimize ETL pipelines and batch/streaming data solutionsDeep understanding of data modeling, data architecture, and performance tuningNice-to-Have SkillsExperience with CI/CD practices for data workflowsFamiliarity with data governance and compliance best practicesExperience working in financial services or with GSE clientsExposure to tools like Airflow, Kafka, or SnowflakeKey ResponsibilitiesDesign and implement scalable data pipelines using Python, PySpark, and AWSWork collaboratively with data scientists, analysts, and business partnersOptimize existing data workflows for performance and reliabilityEnsure data integrity, quality, and security across all platformsTroubleshoot and resolve production issues in a timely mannerLocation Requirement100% On-Site in McLean, VANo remote or hybrid option available