TL;DR

Senior Software Engineer (Data): Build and scale reliable data infrastructure and pipelines powering high-impact financial services products with an accent on data integrity, semantic correctness, and cloud data workflows. Focus on designing and maintaining data orchestration, ensuring data quality, and collaborating across teams to improve data modeling and governance.

Location: Hybrid in Redwood City, CA; Chicago, IL; and New York, NY with specific in-office days

Company

%hirify_global% builds a data-driven platform empowering consumers and businesses to leverage real-time data for modern financial services and insights.

What you will do

Design and maintain data pipelines and orchestration layers using tools like Airflow and GCP Workflows
Own data workflows across cloud warehouses such as BigQuery and Snowflake
Develop monitoring, alerting, and testing for data health and anomalies
Partner with product, analytics, and engineering teams to validate business logic and maintain data semantics
Write quality, maintainable code and participate in architecture reviews and agile ceremonies
Improve data modeling, cataloging, and governance practices

Requirements

Location: Hybrid work with in-office days in Redwood City, Chicago, or New York
6+ years experience in backend or data engineering roles
Proficiency in Python and data orchestration tools like Airflow and GCP Workflows
Experience with relational databases and large-scale cloud data warehouses
Familiarity with cloud infrastructure (GCP, AWS, or Azure)
Knowledge of gRPC, Protobuf, or GraphQL
English: Proficient (B2 or higher)

Nice to have

Experience in AdTech, MarTech, or high-volume data environments
Experience with AI-enhanced development tools and curiosity for emerging AI workflows