Data Solutions Engineer

Overview

This Data Solutions Engineer (Applications Development Senior Programmer Analyst - C12) is responsible for building next‑generation Data Engineering solutions. The position is intermediate‑level and involves active participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. A key aspect of this role is liaising between business users and technologists to facilitate the exchange of information regarding solutions, including requirements and usage.

• Serve as an integral team member of our Data Engineering team, responsible for the design and development of Big Data solutions.
• Partner with domain experts, product managers, analysts, and data scientists to develop robust Big Data pipelines in Hadoop or Snowflake environments.
• Deliver a data‑as‑a‑service framework.
• Lead the migration of all legacy workloads to cloud platforms.
• Engage with key stakeholders to elicit and document requirements, including detailed data flow specifications.
• Assess appropriate solutions and collaborate with relevant teams to drive optimal implementations.
• Work with data scientists to build client pipelines using heterogeneous sources and provide essential engineering services for data science applications.
• Research and evaluate open‑source technologies and components, recommending and integrating them into design and implementation efforts.
• Act as a technical expert, mentoring other team members on Big Data and Cloud technology stacks.
• Define comprehensive requirements for maintainability, testability, performance, security, quality, and usability across the data platform.
• Drive the implementation of consistent patterns, reusable components, and coding standards for all data engineering processes.
• Convert SAS‑based pipelines into modern languages like PySpark and Scala for execution on Hadoop and non‑Hadoop ecosystems.
• Optimize Big Data applications on both Hadoop and non‑Hadoop platforms for peak performance.
• Evaluate new IT developments and evolving business requirements, recommending appropriate system alternatives and/or enhancements to current systems through analysis of business processes, systems, and industry standards.
• Appropriately assess risk when making business decisions, driving compliance with applicable laws, rules, and regulations, and escalating, managing, and reporting control issues with transparency.

• 5+ years of experience with Hadoop and Big Data technologies.
• Proficiency in Python, PySpark, and Scala, with practical experience in machine learning libraries.
• Experience developing robust data solutions on Google Cloud or AWS platforms; certifications are preferred.
• Experience with SAS.
• Experience with containerization and related technologies (e.g., Docker, Kubernetes).
• Comprehensive understanding of software engineering and data analytics.
• In‑depth knowledge and hands‑on experience with the Hadoop ecosystem and Big Data technologies (e.g., HDFS, Map Reduce, Hive, Pig, Impala, Kafka, Kudu, Solr).
• Knowledge of Agile (Scrum) development methodologies.
• Strong development and automation skills.
• System‑level understanding of data structures, algorithms, distributed storage, and compute.
• Proactive approach to solving complex business problems, complemented by strong interpersonal and teamwork skills.

• Familiarity with Hadoop administration and Snowflake.
• Proficiency in Java or additional experience with Apache Beam.

• Bachelor’s degree/University degree or equivalent experience.

• Irving, Texas, United States

Salary range: $ – $. In addition to salary, Citi offers discretionary and formulaic incentive and retention awards, competitive employee benefits (medical, dental, vision, 401(k), life, accident and disability insurance, wellness programs), and paid time off packages (vacation, sick leave, paid holidays). Some offerings vary by jurisdiction, job level, and date of hire.

Applicants must be authorized to work in the U.S. for this position;
Citi will not sponsor U.S. work authorization for this role. Candidates must be located within commuting distance or be willing to relocate to the area.

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 or apply for a career opportunity, please review Accessibility w Citi’s EEO Policy Statement and the Know Your Rights poster.