Senior Data Engineer

DMV IT Service • Full-time • Seattle, Washington, United States • 1m ago

Description

Job Title: Senior Data Engineer
Location: Seattle, WA
Employment Type: Full-Time

About Us:
DMV IT Service LLC is a trusted IT consulting firm founded in 2020. We specialize in optimizing IT infrastructure and providing expert guidance to empower businesses to achieve their technology goals. Our services span system administration, cybersecurity, networking, and IT operations. With a client-first approach, we ensure long-term success for our clients through innovative solutions and industry best practices.

Job Purpose:
We are seeking a Senior Data Engineer to join our client’s engineering team. This team supports critical mid-layer services across the organization and external partners. The selected candidate will focus on building and optimizing large-scale data pipelines and services, working with customer data in cloud environments. The ideal candidate will have strong expertise in Python, PySpark, Databricks, containerization, data streaming, and Agile/Scrum methodologies.

Requirements

Actively participate in all Scrum ceremonies and lead delivery of the strategic data engineering roadmap.
Own the full application development lifecycle, including development, deployment, and ongoing support.
Provide subject matter expertise, direction, and guidance on complex data engineering engagements.
Collaborate closely with Architecture, Product, Development, and IT teams to deliver enterprise-grade solutions.
Initiate and drive process improvements for both new and existing systems.
Design, build, and maintain scalable and efficient ETL/ELT pipelines using Python and PySpark.
Ingest, transform, and load large datasets from diverse sources.
Implement robust data quality checks, monitoring, and validation processes.
Ensure accuracy, integrity, and scalability of data engineering solutions.

Required Qualifications:

7+ years of Data/Software Engineering experience.
5+ years hands-on experience in Python and PySpark for large-scale data processing.
4+ years working with Containers (Docker and orchestration platforms such as Kubernetes, EKS, or RedHat OpenShift).
4+ years experience with test automation.
5+ years experience with SQL and NoSQL databases.
Strong experience with Databricks for data engineering and analytics.
Proficiency with version control systems (Git).
Proven track record in Agile/Scrum enterprise application delivery.
Bachelor’s degree in Computer Science or equivalent work experience.