Senior Data Engineer: Build Scalable Pipelines & Insights

Tokio Marine North America Services; Bala Cynwyd (PA); On-site; USD 120,000 - 170,000; Full time

Job summary

Tokio Marine North America Services (TMNAS) is seeking an experienced Data Engineer in Bala Cynwyd, PA to design and optimize data pipelines and ETL processes that power analytics and reporting across the organization.

You will collaborate with data analysts, architects, and business stakeholders to ensure high-quality data, build data dictionaries, and document procedures while staying current with evolving data technologies.

Qualifications

• 7+ years of IT experience, with 3+ years in data engineering.
• Strong SQL and SQL Server experience.
• Proficiency in Python.
• Experience with cloud data platforms (Databricks, Snowflake, Azure).
• Knowledge of Informatica and P&C Insurance is preferred.
• Excellent written and verbal communication; strong collaboration.

Responsibilities

• Design and develop complex data pipelines and ETL processes.
• Implement data integration solutions for analytics and reporting.
• Collaborate with data analysts, architects, engineers and stakeholders.
• Ensure data quality and create data reconciliations.
• Optimize data workflows for performance, scalability, and reliability.
• Document data engineering processes and data dictionaries.
• Stay current with data technologies and best practices.
• Contribute to data governance and disaster recovery planning.
• Lead a team and manage time-sensitive deadlines.

Skills

SQL

Python

Cloud platforms

Informatica

P&C Insurance

Data models

Data lakes

Data pipelines

SQL Server

Communication

Leadership

Education

Bachelor's degree in computer science/IT or related field

Tools

SQL Server

Databricks

Snowflake

Azure

Informatica

Job description

Tokio Marine North America Services (TMNAS) is seeking an experienced Data Engineer in Bala Cynwyd, PA to design and optimize data pipelines and ETL processes that power analytics and reporting across the organization.

You will collaborate with data analysts, architects, and business stakeholders to ensure high-quality data, build data dictionaries, and document procedures while staying current with evolving data technologies.