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Lead Data Platform & Database Engineer

TrustEngine
Tampa, USA
Full-time
Lead · 7+ years experience
Remote
Discovered 4 days ago
dbtsnowflakesql

Full Job Posting

Requirements

  • What You'll Bring
  • Snowflake administration and development — preferred; our data engineering team covers Snowflake day to day
  • ETL pipelines and tools (e.g. Rivery, dbt)
  • Data warehouse design and development
  • Data lake on S3
  • BI/analytics and tools (e.g. Metabase, QuickSight)
  • Data governance and data quality practice
  • SQL Server migration to a managed service (RDS or equivalent)

Benefits

  • Salary Range Up to $190,000
  • 100% Remote position, with a virtual office
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Flexible Paid Time Off (Vacation, Sick & Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources

Preferred Qualifications

  • Snowflake administration and development — preferred; our data engineering team covers Snowflake day to day

Responsibilities

  • Deep and current Microsoft SQL Server administration — this is the core of the role
  • Recent hands-on experience with full SQL Server installation and configuration on a server you manage yourself — Windows Server on EC2 or on-premises — not a managed service such as RDS or Azure SQL. Must include OS-level work beneath a live production instance.
  • Windows Server administration, including OS upgrades and migrations
  • Most recent SQL Server upgrade performed, stated on the profile: source and target versions, in-place or side-by-side, year, and the Windows Server version pairing. Career-span claims without versions will not be considered.
  • SQL Server high availability — Always On Availability Groups, failover clustering
  • MySQL administration
  • AWS — EC2, RDS, S3, IAM, CloudWatch
  • AI proficiency (e.g., Claude) applied to day-to-day work
  • 7+ years of experience
  • Prior end-to-end ownership of a production database estate, including assessing an inherited environment and driving it to a measurably better state
  • Experience setting data standards and reviewing schema and data-access design across application teams

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