Staff Data Engineer

Drata

. Strategize and execute Drata’s data engineering vision .

Posted 9/22/2026full-timeSan Francisco • California • United StatesLead💰 $165,000 - $270,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, including data product development, query optimization, and data governance. Proficient in analytical SQL and Python, with experience in modern data orchestration tools and building AI/ML pipelines.

Highest-signal resume keywords

Data EngineeringAnalytical SQLPythonETL/ELT ProcessesData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringChange Data CaptureAnalytical SQLPythonData ModelingAI/ML Pipeline DevelopmentQuery OptimizationData IngestionData ProcessingAutomation

Soft Skills

Clear CommunicationCollaborationCuriosityInvestigative Mindset

Tools & Technologies

StitchFivetranSnowflakeDbtAirflowAirbyteLookerModeSigmaHightouch

Industry Keywords

Data GovernanceData ProductsAnalyticsML/AI ModelsData Orchestration

Tech Stack

Tools & technologies

AirflowETLPythonSQL

About the role

Key responsibilities & impact

Strategize and execute Drata’s data engineering vision
Build data products serving analytics, product and engineering services, and ML/AI models
Optimize query performance, data ingestion, and processing time
Contribute to the data modeling layer
Build strong data governance processes
Create data engineering training and documentation for analysts
Interview, hire, and train future data engineers
Administer data orchestration using ETL, ELT, Reverse ETL, and modern tools
Automate processes in accordance with the company’s automation value
Enable teams to self-serve data and reporting for projects and decisions

Requirements

What you’ll need

8+ years of experience as a Data Engineer
Experience in Change Data Capture (CDC)
Fluency in analytical SQL and ability to write complex, performant queries independently
Fluency in Python
Experience with some of Stitch/Fivetran, Snowflake, dbt, Airflow, Airbyte, Looker, Mode, Sigma, Hightouch, or Census
Clear, concise communication and ability to work well with others
Ability to explain complex data flows, datasets, or queries to non-technical people
Experience building AI to production
Bonus: experience building ML/AI pipelines
Curiosity and investigative mindset
Ability to thrive in a fast, high-growth startup environment with autonomy and collaboration
Willingness and ability to commute to the 2nd Street office each week on Tuesday, Wednesday, and Thursday
Must be located in the United States or answer whether sponsorship will be required to work within the United States

Benefits

Comp & perks

Stock equity
Up to 100% employer-paid medical, dental, and vision premiums for employees and dependents
Comprehensive wellness benefits
Healthcare concierge services
401(k) plan
Company-paid life and disability insurance
Tax-advantaged spending accounts
Discounted voluntary offerings
Paid parental leave after six months of employment
Kindbody fertility and family-building benefits
Dedicated leave specialists
Annual professional and personal development stipends
Internal learning opportunities
Flexible vacation policy
Paid holidays
Other recharge perks