Citigroup, Inc

Senior Data Engineer - Python

Citigroup, Inc • $120K — $170K *
Mississauga, ON L4T 0A1In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of experience in software or data engineering, with a focus on Python-based development.
  • Expert proficiency in SQL across various relational databases like PostgreSQL and Oracle.
  • Solid background in data modeling, particularly relational and dimensional modeling.
  • Hands-on experience with building ETL/ELT pipelines using Python frameworks.
  • Familiarity with NoSQL databases, particularly MongoDB.
  • Experience with distributed processing technologies, notably PySpark.
  • Knowledge of AI development tools and data formats like Parquet and JSON.

Responsibilities

  • Design and maintain scalable Python-based data pipelines for data processing.
  • Build reusable Python libraries and automation utilities for data workflows.
  • Optimize complex SQL queries and manage database objects for multiple platforms.
  • Implement ETL/ELT solutions, emphasizing staging frameworks and data reconciliation.
  • Develop logical and physical data models for various use cases.
  • Work with NoSQL databases to design effective data structures.
  • Ensure data quality and accuracy through validation and completeness controls.

Benefits

  • Flexible work environment with opportunities for remote work.
  • Access to continuous learning and professional development programs.
  • Participation in a collaborative and innovative team culture.
  • Chance to work with cutting-edge technologies in data engineering.
Full Job Description
We are seeking a skilled and experienced Senior Data Engineer with strong Python expertise to join our Engineering team. The ideal candidate is passionate about building robust, scalable data pipelines and platforms that power analytics, business intelligence, and data-driven decision-making across the enterprise. This role requires deep hands-on experience in Python-based data engineering, SQL development, data modeling, and ETL/ELT design, along with familiarity with both relational and NoSQL databases. Experience with Big Data technologies such as PySpark, and exposure to platforms like Databricks or Starburst, will be considered a strong advantage. The successful candidate will thrive in a collaborative, fast-paced environment and take ownership of end-to-end data solutions.

Responsibilities
  • Design, develop, and maintain scalable Python-based data pipelines for ingestion, transformation, and distribution of data across enterprise platforms.
  • Build reusable Python libraries, frameworks, and automation utilities to support data engineering workflows.
  • Develop and optimize complex SQL queries, stored procedures, and database objects across multiple relational database platforms.
  • Design and implement ETL/ELT solutions including staging frameworks, incremental processing, data reconciliation, and error handling.
  • Develop and maintain logical and physical data models to support both operational and analytical use cases.
  • Work with NoSQL databases (e.g., MongoDB) to design data structures and access patterns suited to non-relational workloads.
  • Build and maintain data pipelines using PySpark for large-scale distributed data processing where applicable.
  • Implement data quality, validation, and completeness controls to ensure accuracy and reliability across data products.
  • Collaborate with data scientists, analysts, software engineers, and business stakeholders to understand requirements and deliver high-quality data solutions.
  • Contribute to CI/CD pipelines for automated testing, deployment, and version control of data workflows.
  • Participate in code reviews, troubleshooting, debugging, and production support of data systems.
  • Support data governance, security standards, and compliance requirements across all data assets.


Qualifications
  • Strong proficiency in Python for data engineering, including data transformation, orchestration, workflow automation, and utility development.
  • Expert-level SQL skills across relational databases (PostgreSQL, Oracle, SQL Server, or MySQL).
  • Solid experience in data modeling - relational and dimensional modeling (Star/Snowflake schemas).
  • Hands-on experience designing and building ETL/ELT pipelines using Python-based frameworks .
  • Working experience with NoSQL databases, particularly MongoDB.
  • Experience with PySpark and distributed data processing frameworks for large-scale data workloads is a plus.
  • Familiarity with Databricks and/or Starburst is a plus.
  • Hands-on experience with AI Development Tools such as Claude Code, Devin AI, Cursor, Copilot etc.
  • Knowledge of data formats including Parquet, Avro, and JSON, and storage platforms such as HDFS or cloud object stores.
  • Proficiency with version control (Git) and CI/CD practices for data engineering workflows.
  • Familiarity with data orchestration tools such as Apache Airflow or equivalent schedulers.
  • Basic working knowledge of Java is a plus.
  • Strong analytical, problem-solving, and communication skills with the ability to work across technical and non-technical teams.


Experience
  • 6+ years of total experience in software or data engineering.
  • Hands-on experience specifically in Python-based data engineering, SQL development, ETL design, and data modeling.
  • Proven experience building and maintaining production-grade data pipelines and platforms at enterprise scale.
  • Demonstrated experience working with both relational (PostgreSQL, Oracle, SQL Server) and NoSQL (MongoDB) databases in real-world projects.
  • Experience working in regulated or highly process-oriented environments, preferably within Financial Services.


Education
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or an equivalent technical field.


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:
Applications Development

Time Type:
Full time

Primary Location Full Time Salary Range:
$120,800.00 - $170,800.00

Most Relevant Skills
Please see the requirements listed above.

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

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

This job opening is for an existing job vacancy.

About Citigroup, Inc

Citigroup is a financial services holding company that provides financial products and services. The company operates through two segments, Global Consumer Banking (GCB) and Institutional Clients Group (ICG). The GCB segment offers traditional banking services to retail customers through retail banking, commercial banking, Citi-branded cards, and Citi retail services. The ICG segment offers various banking, and financial products and services to corporate, institutional, public sector, and high-net-worth clients. This segment provides wholesale banking products and services, including fixed-income and equity sales and trading, foreign exchange, prime brokerage, derivative services, equity and fixed-income research, corporate lending, investment banking, and advisory services, private banking, cash management, trade finance, and securities services. Citi is committed to sustainability and social responsibility, and the company invests in initiatives that promote economic progress.

Citigroup, Inc Careers

Join the vibrant team at Citigroup, Inc, a leading global bank, and propel your career into the future. Citigroup offers a plethora of job opportunities that span across various fields and expertise, making it an ideal place for ambitious professionals to thrive.

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We believe our strength comes from the diversity of our team. Citigroup, Inc is dedicated to fostering an inclusive workplace where everyone can contribute their best work. Through diversity training and a culture that embraces differences, we create a welcoming environment for all employees.

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Citigroup, Inc values the well-being of its employees. We offer competitive benefits packages that support the health, finance, and lifestyle of our team members. Our culture is built on collaboration, respect, and a commitment to excellence. We ensure that every team member feels valued and part of our global family.

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Start your professional journey with Citigroup through our internship programs or full-time job opportunities. We are constantly hiring fresh talent and seasoned experts who bring creativity and innovation to our team. Whether you're refining your skills or ready to lead, there's a position waiting for you at Citigroup.

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Learn more about Citigroup, Inc
Market Cap
$1.3 billion
Industry
Finance & Insurance
Net Income
$89.6 million
Founded
1812
5 Year Trend
+4.6%
NASDAQ
C
* Ladders Estimates

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