Big Data Engineer

The Big data engineer is a developing professional role in the field of Data engineering. The data engineer is accountable for developing high quality data products to support the Bank's regulatory and in-business data requirements and data driven decision making. The team is seeking a skilled Big Data Engineer to design, build, and maintain robust, scalable data pipelines using Apache Spark. The ideal candidate will have hands-on experience with Big Data platforms like Hadoop, Hive, or Snowflake, coupled with strong proficiency in Python or Java.

Responsibilities:

• Developing and supporting scalable, extensible, and highly available data solutions.

• Deliver on critical business priorities while ensuring alignment with the wider architectural vision

• Identify and help address potential risks in the data supply chain

• Follow and contribute to technical standards.

• Design and develop analytical data models.

• Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.

• Employs developed communication and diplomacy skills to exchange potentially complex/sensitive information.

• Demonstrates attention to quality and timeliness of service to ensure the effectiveness of the team and group.

• Provides informal guidance or on-the-job-training to new team members.

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Must Haves:

• 2+ years of hands-on experience in building data pipelines with Apache Spark.

• Strong experience in Big Data platforms including Hadoop, Hive, or Snowflake for data storage and processing.

• Strong proficiency in either Python or Java programming.

• Expertise in data modeling techniques, including the design and structuring of data models.

• Comprehensive understanding of Data Warehousing principles, alongside experience with RDBMS (Oracle, MSSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB).

• Familiarity with DevOps concepts, specifically CI/CD platforms and version control.

Nice to have:

• Exposure to data quality management, controls, validation, and enrichment.

• Understanding of containerization technologies like Docker and Kubernetes.

• Experience with various event, file, and table formats, such as Parquet, ORC, and Iceberg.

• Basic knowledge of job schedulers (e.g., Autosys) and entitlement management.

Education:

• Bachelor’s/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Data Analytics

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Time Type:

Full time

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Primary Location:

Irving Texas United States

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Primary Location Full Time Salary Range:

$76,230.00 - $106,370.00

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.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Feb 05, 2026

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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.

 

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