Sr. Data Engineer

Responsibilities: Build and optimize scalable data pipelines and ETL workflows Design reliable data models and integrate structured and unstructured data Work with product, analytics, and engineering teams to maintain data availability and data quality Use cloud platforms such as AWS, Azure, or GCP to support large-scale data architecture Monitor pipeline performance and troubleshoot data integrity issues Requirements Proficiency in SQL and Python for data manipulation Strong experience with cloud data platforms including AWS Redshift and Azure Synapse Hands-on experience with ETL tools, data modeling, and data warehouse design Familiarity with data governance, version control, and CI/CD for data engineering workflows Solid understanding of Git, Agile practices, and Jira Preferred Qualifications Experience with big data tools such as Spark and Hadoop Familiarity with APIs and real-time data streaming using Kafka and Kinesis Prior experience on enterprise-level projects or large system integrations Tech Stack SQL, Python AWS, Azure, GCP AWS Redshift, Azure Synapse ETL, Git, CI/CD Kafka, Kinesis, Spark, Hadoop Jira Location: Plano, TX (onsite)

Compensation: USD 90,000 - 100,000 per year Job Type: contract (contract-to-hire)