TopDog Law LLC is hiring a Senior Data Engineer to build and scale the data platform that powers analytics, reporting, and data-driven decision-making across the organization. This hands-on engineering role focuses on developing a robust data platform, ensuring pipeline reliability, and scaling infrastructure.

What You'll Do

Design, build, and maintain reliable data ingestion pipelines from internal systems and third-party data sources.
Implement scalable ELT workflows that process and deliver data across the organization.
Maintain transformation pipelines and ensure reliable delivery of analytics-ready datasets.
Manage and optimize the performance, reliability, and scalability of the company’s cloud data warehouse environment.
Maintain orchestration frameworks and scheduling systems that support data workflows.
Optimize data pipeline performance, compute utilization, and system efficiency.
Support infrastructure required for advanced analytics and machine learning workloads.
Implement monitoring, alerting, and observability across data pipelines and platform components.
Ensure data freshness and system uptime meet defined service expectations.
Diagnose and resolve production issues including pipeline failures, data quality issues, and performance bottlenecks.
Maintain version-controlled data infrastructure and CI/CD workflows for data pipelines.
Implement testing and validation practices to ensure data quality and reliability.
Contribute to documentation of data pipelines, system architecture, and platform dependencies.
Partner with the Director of Data to implement data architecture and platform improvements.
Support analytics and BI teams by ensuring reliable and well-modeled datasets are available for reporting and analysis.
Contribute engineering input to platform improvements and technical roadmap initiatives.

What We're Looking For

Proven experience designing, building, and maintaining reliable, scalable data pipelines and infrastructure.
Strong expertise in implementing and optimizing ELT workflows and data warehousing solutions.
Demonstrated ability to manage performance, reliability, and scalability in a cloud data environment.
Experience with orchestration, monitoring, and observability tooling for data systems.
Proficiency in diagnosing and resolving production data pipeline issues, including failures and quality problems.
Familiarity with version control and CI/CD practices for data infrastructure.
Ability to implement data quality testing and validation.
Excellent documentation and communication skills.
A collaborative mindset, capable of partnering with leadership and cross-functional teams.
At TopDog Law, everyone is expected to think critically, communicate clearly, and take ownership of their work.