8+ years of experience in data infrastructure/data engineering
8+ years of Python and SQL proficiency; Java is a plus
4+ years of experience with DBT
4+ years with Snowflake
4+ years using Infrastructure as Code tools like CDK and Terraform
Strong communication skills for collaboration
Familiarity with AWS services like Lambda, Step Functions, and EMR
Experience with big-data platforms and tools such as Kafka and Spark
Responsibilities
Design and maintain data infrastructure services including Data Lake and Kafka
Develop DBT models for analytics and machine learning
Collaborate with the Analytics team on data modeling and ingestion
Create scalable real-time streaming and offline ETL pipelines
Implement a secure data warehouse for large datasets
Automate data operations and optimize delivery processes
Document engineering designs and best practices
Benefits
Competitive medical, dental, and vision coverage from Day 1
Company equity
401(k) plan with company match starting 2026
Unlimited paid time off and 13 paid holidays
Parental leave
Flex Cares Program
Free subscription to the product
Full Job Description
Staff Data Engineer
Remote (U.S.)
Our client9s Engineering organization is seeking Staff Engineers to join the Data Infrastructure team that is shaping the future of their finance data platforms. The Data Infrastructure team is dedicated to building a scalable, modern data platform to support their current and future financial products with a cutting-edge, forward-thinking approach. The goal is to empower all facets of the business with Machine Learning and Business Intelligence, enhancing end users9 ability to better utilize their data. The team9s impact extends beyond reporting and analytics; their tools directly influence the growth and strategy of the company9s future direction. At our client, there is a culture of data-driven decision-making, and they demand data that is timely, accurate, and actionable.
What You9ll Do
Design, implement, and maintain high-quality data infrastructure services, including but not limited to Data Lake, Kafka, Amazon Kinesis, and data access layers.
Develop robust and efficient DBT models and jobs to support analytics reporting and machine-learning modeling.
Closely collaborate with the Analytics team for data modeling, reporting, and data ingestion.
Create scalable real-time streaming pipelines and offline ETL pipelines.
Design, implement, and manage a data warehouse that provides secure access to large datasets.
Continuously improve data operations by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
Create engineering documentation for design, runbooks, and best practices.
What They9re Looking For
A minimum of 8 years of industry experience in the data infrastructure/data engineering domain.
A minimum of 8 years of experience with Python and SQL; Java experience is a plus.
A minimum of 4 years of industry experience using DBT.
A minimum of 4 years of industry experience using Snowflake and its basic features.
A minimum of 4 years of industry experience using Infrastructure as Code tools, specifically CDK and Terraform.
Strong written and verbal communication skills for key collaboration.
Familiarity with AWS services, with industry experience using Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR, etc.
Industry experience with big-data platforms and tools such as Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, etc.
Industry experience working with relational and NoSQL databases in a production environment.
Strong fundamentals in data structures, algorithms, and design patterns.
Core competencies:
Prior experience working on cross-functional teams.
Experience with CI/CD to improve code stability and code quality.
Motivation to help other engineers succeed and be effective.
Excitement to work in an ambiguous, fast-paced, high-growth environment.
The salary compensation range for this role will be commensurate with the candidate9s experience and our client9s internal leveling guidelines and benchmarks.
For full-time U.S.-based employees, they offer:
Competitive medical, dental, and vision coverage from Day 1
Company equity
401(k) plan with company match (matching begins in 2026)
Unlimited paid time off + 13 company-paid holidays
