Job Description
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
-
Job Family:
Data Analytics
-
Time Type:
Full time
-
Primary Location:
Irving Texas United States
-
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.
-
Other Relevant Skills
Apache Spark, CI/CD, Continuous Integration (CI) Tools, Data Modeling, Data Pipelines, Data Warehouse ETL, Hadoop Distributed File System (HDFS), Java, Python (Programming Language).
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Anticipated Posting Close Date:
Dec 12, 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, ****** 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 and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
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.
-
Job Family Group:
Technology
-
Job Family:
Data Analytics
-
Time Type:
Full time
-
Primary Location:
Irving Texas United States
-
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.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
Apache Spark, CI/CD, Continuous Integration (CI) Tools, Data Modeling, Data Pipelines, Data Warehouse ETL, Hadoop Distributed File System (HDFS), Java, Python (Programming Language).
-
Anticipated Posting Close Date:
Dec 12, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, ****** 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 and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineer- post position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Dallas offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
