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Data Solutions Engineer

https://www.citi.com/ Logo

Citi

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Location:
United States , Irving ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

107120.00 - 160680.00 USD / Year
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Job Description:

This Data Solutions Engineer (Applications Development Senior Programmer Analyst - C12) is responsible for building next-generation Data Engineering solutions. This intermediate-level position 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.

Job Responsibility:

  • 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
  • Responsible for delivering a data-as-a-service framework
  • Responsible for moving all legacy workloads to cloud platform
  • 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, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets

Requirements:

  • 5+ years of experience with Hadoop and Big Data technologies
  • Demonstrated proficiency in Python, PySpark, and Scala, including practical experience with fundamental machine learning libraries
  • Experience in developing robust data solutions leveraging Google Cloud or AWS platforms
  • 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, MapReduce, 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
  • A proactive approach to solving complex business problems, complemented by strong interpersonal and teamwork skills
  • Bachelor’s degree/University degree or equivalent experience
  • Applicants must be authorized to work in the U.S for this position
  • Candidate must be located within commuting distance or be willing to relocate to the area

Nice to have:

  • Familiarity with Hadoop administration and Snowflake
  • Proficiency in Java or additional experience with Apache Beam
What we offer:
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
  • discretionary and formulaic incentive and retention awards

Additional Information:

Job Posted:
February 14, 2026

Expiration:
February 24, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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