Join a rapidly growing national firm at a formative stage
Make a visible, measurable impact on a rapidly growing business
Grow your skills, responsibility, and influence as the firm scales
Work alongside high-caliber, mission-driven teammates who care deeply about doing great work
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
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
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

Requirements

5+ years of experience building and maintaining production data pipelines
Strong SQL skills and experience working with large datasets
Experience with modern cloud data warehouses such as Snowflake or BigQuery
Experience building transformation workflows using dbt or similar tools
Experience working with orchestration tools such as Airflow
Strong understanding of data pipeline reliability, performance optimization, and scalability
Experience using version control systems such as Git in collaborative development environments
Nice to Have: Experience supporting data infrastructure used for machine learning workflows
Experience building feature pipelines or supporting predictive modeling workloads
Experience using Python for data processing and pipeline development
Experience implementing monitoring and observability for data systems
Experience working in high-growth or rapidly scaling environments
Strong communication skills—written and verbal
Ability to think critically, prioritize effectively, and execute with speed.

Benefits

Health insurance
Expected to work flexible hours

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata pipelinesdata ingestionELT workflowsdata transformationdata qualitydata processingmonitoringobservabilityversion control

Soft Skills

communicationcritical thinkingprioritizationexecution