Overview
On Site
USD 120,000.00 - 160,000.00 per year
Full Time
Skills
FOCUS
Onboarding
Data Processing
Analytics
Workflow
Orchestration
Collaboration
UI
Mentorship
Regulatory Compliance
Data Governance
Change Management
Agile
Continuous Improvement
Data Engineering
Java
Apache Spark
Streaming
Data Lake
Apache Parquet
Spring Framework
RESTful
Microservices
Continuous Integration
Continuous Delivery
Git
Docker
Kubernetes
Cloud Computing
Amazon Web Services
Amazon S3
Electronic Health Record (EHR)
API
Generative Artificial Intelligence (AI)
Meta-data Management
Computer Science
Military
Decision-making
Privacy
Legal
Job Details
Job Description
Senior Data Engineer - Enterprise Data Frameworks
Overview
The Enterprise Data Frameworks team is seeking a Senior Data Engineer with deep expertise in building scalable, high-performance data processing systems using Java, Apache Spark, and modern data engineering tools. This role is ideal for someone passionate about designing resilient data frameworks, optimizing distributed data pipelines, and enabling enterprise-grade data onboarding and automation.
As a Senior Data Engineer, you will lead the development of core components within our data frameworks, integrating Spark-based processing with backend services and APIs. You will collaborate with architects, data engineers, and business stakeholders to deliver secure, compliant, and high-performing solutions.
Primary Responsibilities
Design and implement distributed data processing pipelines using Apache Spark (Java) for large-scale data ingestion, transformation, and analytics
Develop and maintain Java-based microservices and APIs to support data workflows and framework orchestration
Collaborate with UI engineers to integrate backend services with frontend applications for seamless user experiences
Translate business and technical requirements into scalable data engineering solutions
Optimize Spark jobs for performance, reliability, and cost-efficiency across cloud and on-prem environments
Lead code reviews, mentor junior engineers, and contribute to architectural decisions
Ensure compliance with data governance, security, and change management standards
Participate in Agile ceremonies and drive continuous improvement in engineering practices
Required Skills and Experience
7+ years of experience in data engineering with strong proficiency in Java and Apache Spark
Proven experience building and optimizing Spark jobs for batch and streaming data
Solid understanding of data lake architectures, Iceberg/Parquet, and metadata-driven frameworks
Experience with Spring Boot, RESTful APIs, and microservices architecture
Familiarity with CI/CD pipelines, Git, and containerization (Docker/Kubernetes)
Exposure to cloud platforms such as AWS (S3, EMR, Lambda, API Gateway) is a plus
Experience working with data-centric applications and collaborating with frontend and platform teams
Good to have: Experience with Generative AI tools or frameworks for developer assistance, metadata analysis, or automation
Education and Certifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
Work Schedule
Hours per Week: 40
Location: Hybrid, 4 days on site from a Citizens corporate office, 1 day remote
Schedule: Monday through Friday
Pay Transparency
The salary range for this position is $120,000-160,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.
We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit ;br>
#LI-Citizens2
About Us
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family statparenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Equal Employment and Opportunity Employer
Job Applicant Data Privacy Policy
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.
Senior Data Engineer - Enterprise Data Frameworks
Overview
The Enterprise Data Frameworks team is seeking a Senior Data Engineer with deep expertise in building scalable, high-performance data processing systems using Java, Apache Spark, and modern data engineering tools. This role is ideal for someone passionate about designing resilient data frameworks, optimizing distributed data pipelines, and enabling enterprise-grade data onboarding and automation.
As a Senior Data Engineer, you will lead the development of core components within our data frameworks, integrating Spark-based processing with backend services and APIs. You will collaborate with architects, data engineers, and business stakeholders to deliver secure, compliant, and high-performing solutions.
Primary Responsibilities
Design and implement distributed data processing pipelines using Apache Spark (Java) for large-scale data ingestion, transformation, and analytics
Develop and maintain Java-based microservices and APIs to support data workflows and framework orchestration
Collaborate with UI engineers to integrate backend services with frontend applications for seamless user experiences
Translate business and technical requirements into scalable data engineering solutions
Optimize Spark jobs for performance, reliability, and cost-efficiency across cloud and on-prem environments
Lead code reviews, mentor junior engineers, and contribute to architectural decisions
Ensure compliance with data governance, security, and change management standards
Participate in Agile ceremonies and drive continuous improvement in engineering practices
Required Skills and Experience
7+ years of experience in data engineering with strong proficiency in Java and Apache Spark
Proven experience building and optimizing Spark jobs for batch and streaming data
Solid understanding of data lake architectures, Iceberg/Parquet, and metadata-driven frameworks
Experience with Spring Boot, RESTful APIs, and microservices architecture
Familiarity with CI/CD pipelines, Git, and containerization (Docker/Kubernetes)
Exposure to cloud platforms such as AWS (S3, EMR, Lambda, API Gateway) is a plus
Experience working with data-centric applications and collaborating with frontend and platform teams
Good to have: Experience with Generative AI tools or frameworks for developer assistance, metadata analysis, or automation
Education and Certifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
Work Schedule
Hours per Week: 40
Location: Hybrid, 4 days on site from a Citizens corporate office, 1 day remote
Schedule: Monday through Friday
Pay Transparency
The salary range for this position is $120,000-160,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.
We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit ;br>
#LI-Citizens2
About Us
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family statparenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Equal Employment and Opportunity Employer
Job Applicant Data Privacy Policy
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.