Data Engineer: Cloud & Real-Time Data Pipelines

Transamerica Corporation; Denver (CO); Hybrid; USD 77,000 - 95,000; Full time

Benefits offered by this job

Competitive Pay Bonus

Benefits Package

Pension Plan

401k Match

Tuition Reimbursement

Health and Work/Life Balance Benefits

Job summary

Transamerica Corporation is seeking an Intermediate Data Engineer to develop and support data systems for collection, storage, processing, and analytics across the enterprise.

You will work with engineers, data scientists, and product owners in an agile environment to build scalable data pipelines and APIs, enabling data-driven decisions and insights across our organization. The role requires a strong foundation in data engineering and cloud/on-premise infrastructure.

Qualifications

• Bachelor’s degree in computer science or a related technical field.
• 2+ years in data engineering, analytics, warehousing, BI, DB administration, and data integration.
• 1 year building and supporting modern data architectures.
• 1 year building large-scale distributed applications.
• 1 year Linux ops and shell scripting.
• 1 year CI/CD and DevOps practices.
• Strong SQL data profiling and extraction.
• Customer-focused and team-oriented.
• Ability to learn rapidly and adapt to new tech.

Responsibilities

• Collaborate with engineers, data scientists, analytics teams in an agile setting.
• Build and maintain cloud and on-prem data infrastructure and tools.
• Design scalable data-driven solutions and pipelines for batch and real-time data.
• Create data APIs and delivery services for models and operations.
• Assist in selecting data tools and expanding platform capabilities.
• Implement data management best practices for master, reference, metadata, and quality.

Skills

SQL

Linux

DevOps/CI-CD

Data pipelines

Python/Java/Scala/Node.js

REST APIs

Education

Bachelor’s degree in CS/Math/Engineering

Master’s degree in a technical field

Tools

Snowflake

AWS

ETL tools

Data tooling

Job description

Transamerica Corporation is seeking an Intermediate Data Engineer to develop and support data systems for collection, storage, processing, and analytics across the enterprise.

You will work with engineers, data scientists, and product owners in an agile environment to build scalable data pipelines and APIs, enabling data-driven decisions and insights across our organization. The role requires a strong foundation in data engineering and cloud/on-premise infrastructure.