Senior Data Engineer

Senior Data Engineer | Richmond, VA (Hybrid) 26-00558Onsite; candidates must be local or able to commute to Richmond, VAMust be eligible for direct W-2 employment, with no C2C, subcontracting, or H-1B sponsorshipWe are seeking 2 experienced Senior Data Engineers to join an enterprise technology team supporting large-scale data engineering initiatives.This is an exciting opportunity for hands-on data engineering professionals who enjoy building complex data pipelines, optimizing enterprise data platforms, and driving innovative data solutions.Schedule: Alternating weeks onsite and remote (5 days in office, followed by 5 days remote)Experience: 5–7+ years of Data Engineering experienceEducation: Bachelor's degree or higher in Computer Science, Information Systems, Mathematics, or a related disciplineOccasional after-hours or weekend support may be required.What You'll Be DoingDesign, develop, and optimize enterprise-scale data pipelines and ETL/ELT solutions.Build high-volume, scalable batch and real-time data processing workflows.Lead SQL development, performance tuning, and data warehouse optimization.Develop and support complex data transformations and dimensional data models.Implement reliable, production-ready pipelines with monitoring, error handling, and recovery capabilities.Work with architecture, infrastructure, application, governance, and DataOps teams.Drive data quality, security, observability, and performance best practices.Troubleshoot production issues and lead root cause analysis.Support analytics, reporting, and AI/ML data initiatives.Required Technical SkillsAdvanced SQL, ELT development, and performance tuning.Strong experience with Oracle Exadata, Snowflake, or comparable enterprise data warehouses.Hands-on experience with ETL/ELT platforms such as Talend, dbt, or Informatica.Strong understanding of data warehousing architecture and dimensional modeling.Experience designing and supporting large-scale production data pipelines.Python and Shell scripting.Data virtualization technologies such as Denodo, Composite, Dremio, or Starburst.DataOps practices, CI/CD, and observability.Experience supporting enterprise ETL development and production processes.Nice to HaveExperience supporting AI/ML and advanced analytics pipelines.AWS, Azure, or GCP cloud experience.Experience with Apache Kafka, Kafka Connect, Spark Streaming, Apache Flink, or Cribl.Real-time streaming and event-driven data architecture experience.Experience with enterprise data standards and reference architecture.Cloud data warehouse cost and performance optimization.Ideal CandidateWe are especially interested in candidates with experience in:Large-scale commercial utilities organizations.Enterprise data engineering environments.Large-scale capital projects.We are looking for professionals who demonstrate strong ownership, collaboration, communication, adaptability, independent problem-solving, and a commitment to delivering high-quality solutions.Interview ProcessFirst-round interview via Microsoft Teams (camera on).Candidates who perform well will advance to a technical interview.Interested or know someone who would be a great fit?Please send your updated resume via LinkedIn message or reach out directly to discuss this opportunity.#Hiring #SeniorDataEngineer #DataEngineer #RichmondVA #VirginiaJobs #SQL #Snowflake #OracleExadata #Python #ETL #ELT #DataEngineering #DataWarehousing #Kafka #CloudComputing #TechnologyJobs #NowHiring