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About the Role

We are seeking a highly skilled hands-on Snowflake Data Engineer to help scale our modern Data platform. You will bridge the gap between raw data and actionable intelligence by building robust Data Lakes, Data warehouses, ETL/ELT Pipelines and developing the Data infrastructure necessary for advanced Analytics and AI/ML initiatives. You will work with cutting-edge cloud technologies, specifically leveraging the power of Snowflake Data Platform and AWS AI/ML Platform to drive innovation in the financial services sector.

Responsibilities

Build and manage complex Snowflake Data Warehouse and Data Lake environments utilizing Open Data formats (Iceberg); design scalable data pipelines using Snowpark, Snowpipe, and OpenFlow, and develop native applications via Streamlit.
Drive platform excellence by implementing advanced virtual warehouse optimization, rigorous cost-management strategies, and automated governance frameworks to ensure high performance and scalability.
Design and maintain automated ETL/ELT pipelines using Configurable ETL frameworks to ingest and transform data from diverse source systems into Snowflake Data Platform and Data Lakes.
Partner with stakeholders to translate business needs into scalable data solutions, ensuring high-quality batch and real-time processing for regulatory and financial reporting.
Collaborate with Data Scientists to build data foundations for machine learning models, including feature engineering and preparing datasets for training/inference for AWS based AI/ML Platform leveraging Amazon Bedrock and SageMaker.
Ensure data quality, integrity, and security, maintaining compliance with financial industry standards.

Requirements

Bachelor’s degree in computer science, Engineering, Data science, or a related technical field.
5 + years of Data Engineering experience with at least 3 years of strong hands-on experience in Snowflake.
Strong SQL experience and proficiency in Python/Java for data manipulation and automation.
Proven experience using cloud technologies, with significant hands-on experience in Snowflake Data Platform (Warehouses, Horizon Catalog, Snowpark, Snowpipe, OpenFlow, Streamlit, Cortex) & AWS AI/ML Services.
Hands-on experience with ETL/ELT frameworks (e.g., Apache NiFi, Airflow, Talend, dbt, Informatica, DataStage, AWS Glue).
Expertise in big data technologies (e.g., Hadoop, Spark, Kafka, Databricks) and Cloud data warehouses (Snowflake, Redshift).
Strong problem-solving abilities and a passion for working with cutting-edge technologies.
Excellent communication and collaboration skills to effectively work within a cross-functional team.

Skills

Snowflake
Data Lakes
Data warehouses
ETL/ELT Pipelines
Analytics
AI/ML
Cloud technologies
Snowflake Data Platform
AWS AI/ML Platform
Open Data formats (Iceberg)
Snowpark
Snowpipe
OpenFlow
Streamlit
Configurable ETL frameworks
Amazon Bedrock
SageMaker
SQL
Python
Java
Apache NiFi
Airflow
Talend
dbt
Informatica
DataStage
AWS Glue
Hadoop
Spark
Kafka
Databricks
Snowflake Data Platform (Warehouses, Horizon Catalog, Snowpark, Snowpipe, OpenFlow, Streamlit, Cortex)
AWS AI/ML Services
Redshift

Location

Woodland Hills, CA
Jersey City, NJ
Houston, TX

Work Type

Hybrid

Experience Level

5 + years of Data Engineering experience
at least 3 years of strong hands-on experience in Snowflake

Education Level

Bachelor’s degree in computer science, Engineering, Data science, or a related technical field.

Salary/Compensations

$107,000 to $126,000

Benefits

Health and Wellness: medical, dental and vision insurance plans, mental health support and wellness initiatives.
Retirement Savings: competitive 401(k) Plan with Company matching contribution.
Employee Assistance Program: Confidential counseling services and resources.
Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000.
Volunteer Time Off: Up to 16 volunteer hours annually.
Paid Time Off: At least 24 PTO days.

About the Company

At Corebridge Financial, we believe action is everything. That’s why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow.
We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life: We are stronger as one, We deliver on commitments, We learn, improve and innovate, We are inclusive.
The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned with enterprise architecture standards and principles.

Equal Opportunity

Corebridge Financial, is committed to being an equal opportunity employer and we comply with all applicable federal, state, and local fair employment laws. All applicants will be considered for employment based on job-related qualifications and without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, neurodivergence, age, veteran status, or any other protected characteristic.
The Company is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
At Corebridge Financial, we believe that diversity and inclusion are critical to building a creative workplace that leads to innovation, growth, and profitability.
Corebridge Financial is committed to working with and providing reasonable accommodations to job applicants and employees, including any accommodations needed on the basis of physical or mental disabilities or sincerely held religious beliefs.
We will consider for employment qualified applicants with criminal histories, consistent with applicable law.