Senior Data Engineer

Senior Data EngineerLocation: Bethesda 5x OnsiteDuration: 6-month CTHPartner with Data Services product owners, data engineers, data scientists, and BI developers to deliver data modeling, data quality, and overall data warehousing requirements in support of business and reporting objectives.Contribute to the on-going health and evolution of our centralized data platform, including the development and enhancement of our data pipelines. Responsible for hundreds of ingests processing billions of records daily.Build and maintain operational and analytical tables in our enterprise data warehouse that supports all departments and business domains, including financial transactions, supply chain activities, merchandising buying decisions, and marketing campaigns.Design and develop automated data quality testing and validation processes – ensuring timely access to highly accurate data for business partners and end users.Assist with implementation of data governance standards and best practices, both within the Data Services team and the company overall.Bachelor's Degree in Computer Science, Engineering, Technology or a related fieldMaster's Degree in Computer Science, Engineering, Technology or a related field preferred3-6 years' experience in data warehousing, data modeling, or related fieldsProven track record in building impactful data modeling solutions using cloud-native tools.Extensive experience with SQL and DBMSs and experience with programming languages such as Python.Experience with data orchestration, ingestion, and transformation tools – Airflow, Argo, and dbt preferredExperience leveraging cloud in development of data and analytics platforms – GCP/BigQuery, Microsoft Fabric, & Kubernetes experience preferredExperience in real-time data transmission & integration using kafka preferred.Experience with CI/CD, including GitHub requiredStrong analytic skills, attention to detail, ability to multi-task, troubleshoot and problem solve along with the ability to make recommendations based on analysis are extremely important.Pain Points / Hiring NeedETL pipelines and overall data managementFoundational SQL and PythonNeed candidates who have real applied experience, not just theoretical skillsMost candidates fall short on hands?on pipeline buildingCandidate Profile3–5 years of true Data Engineering experienceMust demonstrate strong SQL and Python skillsPriority on candidates who can showcase real pipeline developmentCore Cloud PlatformGCPAirflow, dbt, and Kafka would be really nice to have