Data Solutions Engineer, Assistant Vice President

Citibank (Switzerland) AG; Irving (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Citi is seeking a Data Solutions Engineer to join a dynamic team building data pipelines and platforms for analytics, reporting, and data science. This hybrid role spans Irving, TX and Jacksonville, FL, offering hands-on development in scalable cloud-based data solutions.

You will work with Python, PySpark, Spark, Hadoop, and cloud services to support ML features, collaborate with data scientists, and help improve governance and data quality while mentoring peers.

Qualifications

• 5+ years building large-scale data pipelines in production.
• Strong Python and PySpark for data processing at scale.
• Experience with cloud data platforms (AWS or GCP).
• Knowledge of data warehousing concepts and distributed processing.
• Familiarity with Spark, Hadoop, Kafka, Hive and related tech.
• Ability to drive patterns and coding standards in data engineering.
• Experience with Docker and Kubernetes for containerized workflows.

Responsibilities

• Build and maintain scalable data pipelines supporting analytics and ML.
• Develop big data solutions using Spark, Hadoop, and cloud services.
• Collaborate with data scientists to enable advanced analytics.
• Contribute to data platform designs with architects and engineers.
• Apply data quality controls, monitoring, and governance standards.
• Mentor junior engineers and share best practices.

Skills

5+ years experience

Python

PySpark

Cloud platforms (AWS/GCP)

Data warehousing concepts

Spark/Hadoop

Kafka/Hive

Docker/Kubernetes

Communication

Tools

Docker

Kubernetes

Spark

Hadoop

Kafka

Hive

Databricks

Snowflake

Job description

## Data Solutions Engineer, Assistant Vice PresidentApply: Hybrid: Irving Texas United States: Jacksonville Florida United States: Full time: Posted Today: End Date: October 28, 2026 (26 days left to apply): 26999171Citi 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.