Data Programmer ETL Data Engineer

Responsibilities Design, develop, test, implement, document, and maintain data ingestion and integration solutions for on-premises and cloud data lakes. Build and maintain Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) pipelines to ingest data from various enterprise systems into data lakes (e.g., AWS S3, Azure Data Lake, Hadoop). Develop and manage application program interfaces (APIs) and connectors for real-time and batch data ingestion. Collaborate with data architects and engineers to ensure data quality, security, and compliance during ingestion. Monitor and optimize data pipeline performance and troubleshoot data ingestion issues. Support migration and integration efforts between legacy systems and modern cloud data platforms. Implement data governance and metadata management best practices in ingestion workflows. Execute cloud-native data ingestion and processing services such as AWS Glue, Azure Data Factory, and Google Cloud Dataflow. Develop and maintain data lake architecture, data modeling, and metadata management. Implement real-time data streaming and event-driven architecture. Ensure compliance with data security, encryption, and regulatory standards in aerospace or regulated industries. Participate in Agile or Scaled Agile environments. Qualifications 5+ years of experience with data engineering and/or data processing tools. 3+ years of experience with object-oriented design and programming in a high-level language like C#, .NET, Java, SQL, HTML, and CSS. Proficiency with relational databases (SQL Server or Oracle). Experience with cloud-platform technologies (AWS, Azure, GCP) and cloud containerization. Experience with DevOps / DevSecOps practices. Strong programming skills in languages such as C#, Java, or SQL. Experience with cloud-native data ingestion services (AWS Glue, Azure Data Factory, Google Cloud Dataflow). Experience with real-time data streaming and event-driven architecture. Experience with data security, encryption, and compliance standards. Ability to work independently and collaboratively. Bachelor of Computer Science or related degree. Benefits Discretionary annual incentive. Comprehensive medical coverage: medical & health, dental & vision, disability planning & insurance, pet insurance plans. Family support: maternal & parental leaves. Insurance options: auto & home insurance, identity theft protection. Convenience & professional growth: commuter benefits, certification & training reimbursement. Time off: vacation, time off, sick leave & holidays. Legal & financial assistance: legal assistance, 401k plan, performance bonus, college fund, student loan refinancing. Base salary range: $100,000 to $130,000 per annum. Location: Seattle, WA #J-18808-Ljbffr