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Data Engineer Pyspark

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Time Type: Full time------------------------------------------------------ Most Relevant Skills
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting
  • Build, test, and support batch and real-time data pipelines using Spark and Databricks

  • Analyze Spark execution plans and logs to fix failures and improve processing speed

  • Build and maintain Iceberg or Delta Lake solutions using medallion architecture

  • Take part in code reviews, unit and integration testing, and deployments

From the employer’s posting
Develop, test, enhance, and support batch and real-time data pipelines using Apache Spark, Databricks, Kafka, Scala, Python, and SQL.
Analyze Spark execution plans, DAGs, metrics, and logs to troubleshoot failures and improve processing performance.
Build and maintain Iceberg or Delta Lake solutions using established Lakehouse and medallion architecture patterns.
participate in code reviews, unit testing, integration testing, data validation, and deployment activities.

What you’ll bring

All qualifications

Core experience

  • 5-8 years of experience in the financial services industry
  • Hands-on experience with Apache Spark and Databricks
  • Proficiency in Scala, Python, and SQL
  • Working knowledge of Spark concepts such as partitioning, shuffling, joins, and caching
Qualification wording
5-8 years of relevant experience in the Financial Service industry
Hands-on experience in application development, data engineering, or distributed data processing using Apache Spark and Databricks.
Proficiency in Scala, Python, and SQL, including developing and optimizing data-processing workflows and queries.
Working knowledge of Spark concepts such as execution plans, partitioning, shuffling, joins, caching, and memory utilization.
Education & alternatives
Education: - Bachelor’s degree/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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Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 6, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 54.

At Citi, jobs usually come down by about day 16.

From 11,511 similar postings that came down, and 1,282 of Citi’s. Coming down is not always a hire.

Citi is hiring

162 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down quickly
  • 5% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Scala
  • SQL
  • Databricks
  • Delta Lake
  • Iceberg
  • Kafka
  • Spark
Where the posting names them
The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. This is a hands-on development role responsible for building, testing, optimizing, and supporting batch and real-time data-processing solutions using technologies such as Apache Spark, Databricks, Kafka, Scala, Python, and SQL. The successful candidate will work within a data-engineering team to deliver reliable and maintainable data pipelines, troubleshoot performance and production issues, and follow established architecture, coding, testing, security, governance, and operational standards under the guidance of senior developers and technical leads. Responsibilities:
Responsibilities: - Develop, test, enhance, and support batch and real-time data pipelines using Apache Spark, Databricks, Kafka, Scala, Python, and SQL. - Write clean, reusable code and participate in code reviews, unit testing, integration testing, data validation, and deployment activities.
- Hands-on experience in application development, data engineering, or distributed data processing using Apache Spark and Databricks. - Proficiency in Scala, Python, and SQL, including developing and optimizing data-processing workflows and queries. - Working knowledge of Spark concepts such as execution plans, partitioning, shuffling, joins, caching, and memory utilization.
Qualifications: - Hands-on experience in application development, data engineering, or distributed data processing using Apache Spark and Databricks. - Proficiency in Scala, Python, and SQL, including developing and optimizing data-processing workflows and queries.
- Analyze Spark execution plans, DAGs, metrics, and logs to troubleshoot failures and improve processing performance. - Build and maintain Iceberg or Delta Lake solutions using established Lakehouse and medallion architecture patterns. - Collaborate with technical leads, developers, analysts, and support teams to deliver assigned work and resolve production issues while following established controls and standards.
- Working knowledge of Spark concepts such as execution plans, partitioning, shuffling, joins, caching, and memory utilization. - Experience with Kafka, Spark Structured Streaming, Apache Iceberg, Delta Lake, or similar data and streaming technologies. - Understanding of cloud platforms, Lakehouse and medallion architecture, version control, testing, deployment, monitoring, and production support.
- Proficiency in Scala, Python, and SQL, including developing and optimizing data-processing workflows and queries. - Working knowledge of Spark concepts such as execution plans, partitioning, shuffling, joins, caching, and memory utilization. - Experience with Kafka, Spark Structured Streaming, Apache Iceberg, Delta Lake, or similar data and streaming technologies.

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About Citi

People
About 226,000 in 2025.Annual report (SEC Form 10-K)
Company
Listed as C.
H-1B visas
1 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,079.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.


This is a hands-on development role responsible for building, testing, optimizing, and supporting batch and real-time data-processing solutions using technologies such as Apache Spark, Databricks, Kafka, Scala, Python, and SQL. The successful candidate will work within a data-engineering team to deliver reliable and maintainable data pipelines, troubleshoot performance and production issues, and follow established architecture, coding, testing, security, governance, and operational standards under the guidance of senior developers and technical leads.

Responsibilities:

  • Develop, test, enhance, and support batch and real-time data pipelines using Apache Spark, Databricks, Kafka, Scala, Python, and SQL.
  • Write clean, reusable code and participate in code reviews, unit testing, integration testing, data validation, and deployment activities.
  • Analyze Spark execution plans, DAGs, metrics, and logs to troubleshoot failures and improve processing performance.
  • Build and maintain Iceberg or Delta Lake solutions using established Lakehouse and medallion architecture patterns.
  • Collaborate with technical leads, developers, analysts, and support teams to deliver assigned work and resolve production issues while following established controls and standards.
  • Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code
  • Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
  • Apply fundamental knowledge of programming languages for design specifications.
  • Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
  • Serve as advisor or coach to new or lower-level analysts
  • Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
  • Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
  • Has the ability to operate with a limited level of direct supervision.
  • Can exercise independence of judgement and autonomy.
  • Acts as SME to senior stakeholders and /or other 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.
  • Independently exercise judgement and decision-making in managing day-to-day responsibilities, including evaluating complex situations, resolving issues, and determining appropriate courses of action. Drive and influence delivery of work within area of responsibility, contributing to operational priorities and ensuring progress against timelines. Will be accountable for delivery outcomes, including quality and timelines, and may have a measurable impact on business results within scope. In addition, will provide oversight on execution by reviewing outputs, guiding approach where required, and addressing gaps to ensure delivery meets expected standards. Take ownership of decisions and deliverables within remit, applying analytical thinking and professional expertise to solve problems and ensure effective outcomes.
  • Support execution of business decisions within the function by translating direction into actionable steps and ensuring effective follow‑through. Address non‑routine situations and practical challenges by applying judgement to identify solutions or take decisions within scope. Will support effective functioning of the business area by ensuring processes are implemented consistently and outputs meet expected standards. Operate across varied and evolving situations, exercising discretion to respond to changing requirements and priorities, while ensuring reliability, timeliness, and quality in execution within defined scope.
  • Applies domain expertise and advanced analytical capability to deliver outputs aligned with established standards and professional benchmarks. Evaluate business requirements by analyzing complex issues, forming well‑reasoned views, and recommending practical, implementable solutions. Apply structured thinking, analytical rigor, and creativity in approaching work, particularly in situations where standard methodologies may require refinement. Exercise sound professional judgement in interpreting requirements and determining appropriate courses of action, taking into account the broader business context and potential implications.


Qualifications:

  • Hands-on experience in application development, data engineering, or distributed data processing using Apache Spark and Databricks.
  • Proficiency in Scala, Python, and SQL, including developing and optimizing data-processing workflows and queries.
  • Working knowledge of Spark concepts such as execution plans, partitioning, shuffling, joins, caching, and memory utilization.
  • Experience with Kafka, Spark Structured Streaming, Apache Iceberg, Delta Lake, or similar data and streaming technologies.
  • Understanding of cloud platforms, Lakehouse and medallion architecture, version control, testing, deployment, monitoring, and production support.
  • 5-8 years of relevant experience in the Financial Service industry
  • Intermediate level experience in Applications Development role
  • Consistently demonstrates clear and concise written and verbal communication
  • Demonstrated problem-solving and decision-making skills
  • Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements


Education:

  • Bachelor’s degree/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:

Applications Development

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Time Type:

Full time

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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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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 and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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Chennai, TN, IN

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