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2 jobs found

11d ago

Senior Quantitative Data Engineer

Intone Networks Remote 🇺🇸 Remote

Remote

11d ago

Contract Python Senior Big Data

Job Description

The remote contract role at Intone Networks focuses on building Python-first data pipelines and Snowflake data models to support structured finance analytics across multiple loan categories.

Responsibilities

Manage end-to-end Python-first data pipelines across 12 loan servicers, normalizing and reconciling loan-level data for whole loans, ABS, HELOCs, RVs, student loans, and other esoteric loan types.
Design, implement, and optimize Snowflake data models to enable scalable analytics and reporting.
Lead reconciliation efforts during LMS migrations, ensuring data fidelity throughout the transition.
Develop automated data quality frameworks to monitor data in production and detect anomalies.
Contribute to an AI-native dashboard layer intended to replace legacy Tableau workflows.

Requirements

7-10 years of experience designing and operating financial services data platforms.
Structured finance domain knowledge including ABS, HELOCs, whole loans, and related instruments.
Expert Python programming, with experience in Polars, Spark, and Pandas.
Advanced Snowflake capabilities, including data modeling, optimization, and performance tuning.
Experience with high-volume data reconciliation in production environments.

Technologies

Python
Snowflake
Polars
Spark
Pandas
Azure Data Factory
Plotly/Dash
Tableau

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1mo ago

Python and Database Developer, Assistant Vice President

Citi New York, NY

New York, NY

1mo ago Closed

$121k - $182k/yr Full time Backend Developer Python Apache Airflow

This position is no longer accepting applications (closed Jun 26, 2026).

Job Description

The Python and Database Developer, Assistant Vice President at Citi contributes to building scalable data pipelines, web applications, and database integrations using Python and SQL/ORM technologies. The role emphasizes strong Python expertise, database proficiency, and experience with cloud deployment and data governance.

Location

New York, NY (hybrid)

Compensation

USD 121,200 - 181,800 per year

Responsibilities

Lead the design and development of data pipelines to ingest, transform, and load data from databases, APIs, and streaming sources into the data warehouse or data lake, ensuring reliable data flow and accessibility.
Develop data models that align with business requirements and analytical needs.
Optimize data models for fast query performance and straightforward data access.
Write efficient, maintainable SQL queries and leverage SQLAlchemy for database interaction to sustain high performance and data accuracy.
Implement robust data quality checks and monitoring to safeguard data integrity and proactively resolve issues.
Contribute to the design and implementation of data governance policies and procedures to meet regulatory and internal standards.
Pursue technology innovations to enhance the efficiency, scalability, and resilience of the data platform.
Own the deployment and monitoring of data pipelines and related infrastructure on cloud platforms such as OpenShift, ECS, or Kubernetes, ensuring reliability and performance.
Be prepared to work non-standard shifts, including nights or weekends, and/or provide on-call support for critical data operations.

Requirements

At least 6 years of hands-on experience in a data engineering role.
Experience with data visualization tools to present insights effectively.
Familiarity with agile methodologies and collaboration in agile teams.
Strong Python skills (3.6+) with experience in packaging and libraries such as Pandas and NumPy.
API development experience building REST APIs in Python using microframeworks like Flask.
Extensive experience with relational databases, including writing complex SQL and optimizing queries, plus proficiency with SQLAlchemy or a similar ORM.
Experience with workflow management tools such as Airflow; knowledge of PySpark or PyFlink is a major plus.
Solid understanding of data warehousing concepts, including data modeling and ETL processes for large datasets.
Ability to guide and mentor junior developers and foster a collaborative team environment.
Strong communication skills, both written and verbal, with the ability to explain technical concepts to diverse audiences.
DevOps practices and experience with CI/CD, along with familiarity with tools such as Jenkins, TeamCity, SonarQube, OpenShift, ECS, or Kubernetes.
Knowledge of software engineering principles, including design patterns, coding standards, modularity, and prototyping.
Bachelor's degree in a related field is required.

Technologies

Python
SQLAlchemy
Pandas
NumPy
Flask
OpenShift
ECS
Kubernetes
Airflow
PySpark
PyFlink
Jenkins
TeamCity
SonarQube

Benefits

Discretionary and formulaic incentive and retention awards
Medical, dental, and vision coverage
401(k) retirement plan
Life, accident, and disability insurance
Wellness programs
Paid time off including vacation, sick leave, and paid holidays

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