Senior Data Engineer: Cloud Data Platform & Lakehouse

Origami Risk; United States; Hybrid; USD 117,000 - 146,000; Full time

Benefits offered by this job

Medical & Dental

PTO & holidays

Hybrid/Remote options

401(k) match up to 4%

Vision & Disability insurance

Education assistance

Job summary

Origami Risk is seeking a Senior Data Engineer to help build and scale a cloud-native data platform on AWS, expanding into Databricks for advanced analytics. You will design AI-assisted data pipelines and distributed systems powering data products, analytics, data science, and operational use cases.

Starting base pay ranges from $117,000 to $146,000, with eligibility for bonus and comprehensive benefits. Hybrid work model with strong emphasis on governance and cross-functional collaboration.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 7+ years in Data Engineering or related role.
• Strong experience with AWS data engineering services.
• Proficiency in Python and/or C# .NET for data processing.
• Hands-on experience with SQL Server and relational databases.
• Familiarity with Databricks, Spark, and Lakehouse architectures.
• Knowledge of ETL/ELT design patterns.
• Experience building APIs and file-based ingestion solutions.
• Exposure to multi-tenant SaaS environments is a plus.
• Strong problem-solving and analytical skills.
• Ability to work collaboratively in a cross-functional team.
• Excellent communication and documentation skills.

Responsibilities

• Designs scalable data-ingestion pipelines using AWS services (e.g., S3, Lambda, API Gateway, Glue, Step Functions, Amazon Bedrock, Amazon Agent Core) and Azure DevOps.
• Builds APIs and file upload mechanisms for client data ingestion.
• Develops data mapping and transformation workflows for loading into SQL Server client databases.
• Contributes to the design and implementation of a data Lakehouse architecture leveraging Databricks.
• Enables seamless data flow from the SaaS platform to the analytical platform.
• Optimizes ETL/ELT processes for performance and reliability.
• Collaborates with analytics teams to ensure data availability and quality for reporting and machine learning use cases.
• Provides operational support for existing ingestion processes integrated into C# .NET code and UI.
• Troubleshoots and resolves data pipeline issues across environments.
• Works closely with Software Engineers, Architects, and Product teams to align data solutions with business needs.
• Implements best practices for data governance, security, and compliance in a multi‑tenant environment.
• Documents architecture, workflows, and operational procedures.

Skills

Python

C# .NET

SQL Server

Databricks

AWS data services

ETL/ELT design

APIs

Education

Bachelor's degree in Computer Science or related field

Job description

Origami Risk is seeking a Senior Data Engineer to help build and scale a cloud-native data platform on AWS, expanding into Databricks for advanced analytics. You will design AI-assisted data pipelines and distributed systems powering data products, analytics, data science, and operational use cases.

Starting base pay ranges from $117,000 to $146,000, with eligibility for bonus and comprehensive benefits. Hybrid work model with strong emphasis on governance and cross-functional collaboration.