Hiring: Senior Data Engineer Company: Citizens Location: Phoenix, AZ Job Posted Time: 2026-09-10 11:43:32 Employment Type: Remote Target Skills & Keywords : AWS, Accessibility, Agile, Azure, Cloud Native, Data Pipeline, Databricks, Kafka, Machine Learning, Neo4j, Python, SQL, Snowflake, Spark, Stakeholder Management About the job Experience: •5+ years of experience in data engineering, software engineering, or data platform development. Required Skills: •Design, build, and maintain scalable data pipelines supporting batch and real time processing workloads. •Develop and optimize data integration solutions across multiple enterprise data sources and platforms. •Design and implement data models supporting analytics, reporting, operational, and AI driven use cases. •Build and maintain data products that improve accessibility, quality, and usability of enterprise data. •Partner with business and technology stakeholders to translate requirements into scalable data solutions. •Contribute to modern cloud based data architecture and platform modernization initiatives. •Support graph data capabilities and connected data use cases utilizing technologies such as Neo4j where appropriate. •Develop APIs, services, and integration patterns that enable secure and efficient access to enterprise data. Qualifications: •Strong experience building enterprise scale data pipelines and data platforms. •Expertise with modern data engineering technologies such as Spark, Databricks, Kafka, Snowflake, Azure Data Services, AWS Data Services, or similar platforms. •Strong proficiency in SQL and Python. •Knowledge of data modeling, data governance, metadata management, and data quality practices. •Operational familiarity with cloud native architectures and distributed systems. •Understanding of data integration patterns, APIs, and event driven architectures. •Deliver scalable, reliable, and governed data solutions that support strategic business initiatives. •Improve access to trusted data for analytics, reporting, and operational decision making. •Enhance customer, risk, and operational insights through integrated and connected data solutions. •Enable AI and machine learning capabilities through high quality and well managed data assets. Compensation: •$105,000 - $158,000 / year •Flexible work environment (work from home / hybrid options) •The salary range for this position is $105,000-158,000 per year, plus an opportunity to earn an annual discretionary bonus Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!