TopDog Law

Personal Injury Law Firm

Senior Data Engineer

Data EngineerData EngineerFull TimeRemoteTeam 51-200Since 2019H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

2 days ago

Salary

$130K - $160K / year

Bachelor Degree5 yrs expEnglishAirflowBig QueryCloudPythonSQL

Job Description

• 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

Job 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

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