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Data Engineer AWS at Kaizen Analytix. Location Information: Dallas, TX-%LABEL POSITION TYPE REMOTE ANY%. . Job Title:. Data Engineer. . Employment Type:. Full-Time (100%). . Compensation:. $65/hour. . Location:. Remote. . Overview:. We are seeking a skilled . Data Engineer. to join our team and support our data infrastructure and analytics needs. The ideal candidate will have experience working with . AWS. , . Databricks. , . SQL. , and . Alteryx. , and will be responsible for building and maintaining scalable data . pipelines. , enabling efficient data access, and ensuring data quality and integrity.. . Key Responsibilities:. . . . Design, develop, and maintain robust data pipelines and . ETL. processes.. . . . Work with large-scale data processing tools such as . Databricks. and . Alteryx. .. . . . Manage cloud-based infrastructure on . AWS. , including S3, Glue, and Lambda.. . . . Write and optimize . SQL. queries to support data analysis and reporting.. . . . Collaborate with data analysts, scientists, and other stakeholders to ensure seamless data integration and availability.. . . . Ensure data quality, governance, and security best practices are followed.. . . . Required Skills:. . . . Proven experience with . AWS. services (S3, Glue, EC2, etc.). . . . Hands-on experience with . Databricks. and . Alteryx. .. . . . Strong proficiency in . SQL. .. . . . Solid understanding of data warehousing concepts and ETL frameworks.. . . . Ability to work independently and manage multiple priorities.. . . . Preferred Qualifications:. . . . Experience with Python or Spark for data processing.. . . . Familiarity with Agile development methodologies.. . . . Prior experience in financial services or a highly regulated environment.. . . . . . .. . .