Job description

Citi is looking for a Data Solutions Engineer (Applications Development Senior Programmer Analyst - C12) to join a team building the data pipelines and platforms that support analytics, reporting, and data science across a global financial institution. This is a hands-on engineering role where you will contribute to the development of scalable, cloud-based data solutions alongside experienced engineers, architects, and data scientists. If you are looking to develop your skills on complex, real-world data challenges at enterprise scale, this is a strong next step in your data engineering career. Responsibilities Build and maintain scalable, high-performance data pipelines that support analytics, reporting, and machine learning capabilities across the organization. Develop Big Data solutions using Apache Spark, Hadoop, and cloud-native services to process and manage large volumes of data reliably. Partners with data scientists and analytics teams to engineer data pipelines that support advanced analytics and machine learning use cases. Collaborate with architects and senior engineers to gather requirements and contribute to the implementation of data platform designs. Apply data quality controls, monitoring, and automation to maintain data governance and auditability standards. Research emerging technologies and share recommendations that could improve platform performance, scalability, or maintainability. Support the development of junior engineers by sharing knowledge and technical best practices within the team. Participate in Agile delivery activities including sprint planning, development, testing, and production support. Required Qualifications & Skills 5 years of experience in data engineering, software engineering, or a closely related discipline. Practical experience designing and building large-scale data pipelines and distributed data processing solutions in production environments. Hands-on development experience using Python and Apache Spark (PySpark) to process and transform data at scale. Experience working with cloud-based data platforms, with exposure to AWS or Google Cloud Platform (GCP). Working knowledge of data warehousing concepts, data modeling, and distributed processing frameworks including Spark, Hadoop, Kafka, or Hive. Drive implementation, consistent patterns, reusable components, and coding standards for data engineering processes Tune Big data applications on Hadoop and non-Hadoop platforms for optimal performance Be the technical expert and partner with team members on Big Data and Cloud Tech stacks. Familiarity with containerization tools such as Docker and Kubernetes. Clear communication skills with the ability to work effectively across technical and non-technical teams. Beneficial Skills & Qualifications Experience using Snowflake/Databricks for cloud data warehousing and analytics. Exposure to migrating or modernizing legacy data platforms, including SAS-based workflows. Familiarity with machine learning data pipelines and MLOps concepts. Development experience in Scala or Java alongside Python. AWS or GCP cloud certification(s). What We Offer At Citi, you ll work as part of a collaborative engineering team on data challenges that have direct business impact across a global organization. This role offers meaningful technical development, exposure to modern cloud and data technologies, and a structured path to grow your career within Citi Technology. Hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility alongside regular in-person collaboration. Hands-on experience with modern cloud platforms, Big Data technologies, and analytics tooling used at enterprise scale. Structured learning and development opportunities to support your technical growth and career progression within Citi Technology. Exposure to data modernization projects that directly support business decision-making across a global financial institution. Competitive compensation package and comprehensive benefits program. Apply now to join Citi as a Data Solutions Engineer and develop your career-building data solutions that matter. Note : Applicants must be authorized to work in the U.S for this position; Citi will not sponsor applicants for U.S. work authorization for this role. Candidate must be located within commuting distance or be willing to relocate to the area. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Irving Texas United States ------------------------------------------------------ Primary Location Full Time Salary Range: $107,120.00 - $160,680.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Oct 28, 2026 ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate s skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents – AI Notice and Right ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Requirements

Must-haves

Build and maintain scalable, high-performance data pipelines that support analytics, reporting, and machine learning capabilities across the organization.
Develop Big Data solutions using Apache Spark, Hadoop, and cloud-native services to process and manage large volumes of data reliably.
Partners with data scientists and analytics teams to engineer data pipelines that support advanced analytics and machine learning use cases.
Collaborate with architects and senior engineers to gather requirements and contribute to the implementation of data platform designs.
Apply data quality controls, monitoring, and automation to maintain data governance and auditability standards.
Research emerging technologies and share recommendations that could improve platform performance, scalability, or maintainability.
Support the development of junior engineers by sharing knowledge and technical best practices within the team.
Participate in Agile delivery activities including sprint planning, development, testing, and production support.
Required Qualifications & Skills
5 years of experience in data engineering, software engineering, or a closely related discipline.
Practical experience designing and building large-scale data pipelines and distributed data processing solutions in production environments.
Hands-on development experience using Python and Apache Spark (PySpark) to process and transform data at scale.
Experience working with cloud-based data platforms, with exposure to AWS or Google Cloud Platform (GCP).
Working knowledge of data warehousing concepts, data modeling, and distributed processing frameworks including Spark, Hadoop, Kafka, or Hive.
Drive implementation, consistent patterns, reusable components, and coding standards for data engineering processes
Tune Big data applications on Hadoop and non-Hadoop platforms for optimal performance
Be the technical expert and partner with team members on Big Data and Cloud Tech stacks.
Familiarity with containerization tools such as Docker and Kubernetes.
Clear communication skills with the ability to work effectively across technical and non-technical teams.
Beneficial Skills & Qualifications
Experience using Snowflake/Databricks for cloud data warehousing and analytics.
Exposure to migrating or modernizing legacy data platforms, including SAS-based workflows.
Familiarity with machine learning data pipelines and MLOps concepts.
Development experience in Scala or Java alongside Python.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningagilepythonawsgcpdockerkubernetesjavaaiaccessibility

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness