Data Solutions Engineer, Assistant Vice President

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.

• 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.

• 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…