Senior Data Engineer

DescriptionHybrid Every Other Week onsite / 5 days in Westlake, TXOur client seeks a Senior Data Engineer to join the Cyber Data Analytics chapter within Enterprise Cybersecurity. You will design and deliver scalable data solutions that secure and enable analytics across cybersecurity domains. The role focuses on building robust pipelines, managing migrations, modeling complex datasets, and producing decision-ready insights that support executive stakeholders. You will collaborate with product owners and partners, mentor peers, and embed quality and reliability through automated testing and CI/CD.Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.Rate: $70.00 to $75.00/hr. w2ResponsibilitiesDesign and build scalable data solutions including processing pipelines, migrations, and complex data models.Identify and implement development opportunities within public cloud environments to enhance capabilities.Translate high-level business requirements into actionable technical tasks in partnership with product owners and stakeholders.Analyze, transform, and validate datasets to ensure integrity, accessibility, and security across the lifecycle.Provide technical mentorship and thought leadership to the team.Integrate automated testing and continuous validation within sprints to ensure production reliability.Develop end-to-end solutions using distributed design patterns and modern analytics technologies.Support and enhance production systems with a focus on performance, speed, and reliability.Experience RequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.7+ years of data engineering or data architecture experience.Strong SQL with Snowflake (including SnowSQL), Postgres, SQL Server, and Oracle.Proven pipeline development with Python; NiFi and dbt preferred.Power BI reporting experience to produce effective visualizations.Hands-on AWS experience with S3, EC2, RDS, EKS, Batch, and CloudFormation.Deep knowledge of data modeling principles including 3NF and Star Schema.CI/CD experience with Jenkins and GitHub for automated deployments.Familiarity with workload scheduling and orchestration such as Control-M.Demonstrated data quality analysis skills to ensure accuracy, consistency, and completeness.Ability to operate independently in Agile environments using Scrum or Kanban.Clear communication and presentation skills.Education Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.