Big Data Engineer (Spark & SQL)

Big Data Engineer (Spark & SQL)CTG is seeking a Big Data Engineer to support a Cyber Data Active Intelligence team. This role partners with data engineers, cybersecurity teams, and business stakeholders to deliver scalable data solutions and actionable insights from complex security datasets. Location: Phoenix, AZ Duration: 12 monthsKey Responsibilities:Build and optimize Spark-based data pipelines (batch and near real-time)Analyze cybersecurity data (threats, vulnerabilities, telemetry) to generate insightsDevelop SQL-driven analytics and reporting solutionsEnsure data quality, integration, and governance across platformsCollaborate with stakeholders to translate business needs into technical solutionsSupport BI reporting and dashboard developmentContribute to API and enterprise data platform developmentRequired Skills:Strong Apache Spark and advanced SQL analytics expertiseExperience with data integration, data quality, and data analysisKnowledge of security data / cybersecurity analyticsStrong business translation and stakeholder communication skillsExperience with BI reporting toolsAbility to adapt in fast-paced, evolving technical environmentsPreferred Qualifications:Experience with API development and distributed data platformsFamiliarity with analytics libraries, NLP, or statistical computing frameworksBackground in cybersecurity or enterprise data environmentsExperience:5+ years in data engineering / big data developmentProven experience building scalable data pipelines using SparkEducation:Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.