Software Engineer, Data

Generate

. Own the day-to-day health of Python ETL jobs, dbt models in Snowflake, Azure Data Factory pipelines, reports, and system integrations .

Posted 10/27/2026full-timeSan Francisco • California • United StatesJuniorMid-Level💰 $130,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in Python and SQL for data engineering, with experience in cloud environments and ETL processes. Strong ability to translate business problems into technical solutions while maintaining high standards of communication and collaboration.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyAzure Data FactorySnowflake ETLAI Coding Agents

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL ProcessesData ModelingDebugging SystemsCode Quality AssuranceSchema Change HandlingSoftware DevelopmentCloud Environment OperationsInternal Application DevelopmentData IntegrationAPI Management

Soft Skills

Outstanding CommunicationInterpersonal SkillsEmpathyIntellectual AgilityCuriosity

Tools & Technologies

DbtAzureAWSGCPInternal Tools

Industry Keywords

Financial ServicesEnergyData-Heavy Environment

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPythonSnowflakeSQL

About the role

Key responsibilities & impact

Own the day-to-day health of Python ETL jobs, dbt models in Snowflake, Azure Data Factory pipelines, reports, and system integrations
Triage pipeline failures to root cause and fix vendor schema changes, API rate limits, failed model tests, and broken dependencies
Work directly with business stakeholders to understand issue impact, communicate updates, and confirm resolution
Collaborate with the data team on fixes, code reviews, and releases
Add alerting, validation, retries, and schema-change handling to prevent recurring failures
Proactively identify and fix weaknesses in processes, architecture, code quality, and security
Define and enforce repeatable quality and security patterns for deployment, logging, testing, and secrets handling
Build, ship, and operate internal applications replacing SaaS vendors, spreadsheets, and manual processes
Translate stakeholder problems into requirements and prototypes, then deliver working software
Use AI coding agents as the default working method and share workflows and tooling with the team

Requirements

What you’ll need

Demonstrated passion for, or commitment to, Generate’s mission
2–3 years of professional software or data engineering experience
Exceptional new graduates with substantial shipped work will be considered
Strong Python and SQL
Experience building or operating software in a cloud environment
AI coding agents are already central to how you work, with ability to explain your workflow in detail
Comfort debugging systems you did not build under time pressure and with incomplete information
Ability to translate business problems into technical solutions
Unimpeachable integrity and glowing references
Outstanding communication and interpersonal skills, including empathy, intuition, listening, writing, and documentation
High self-awareness and humility, with excitement about confronting uncomfortable situations or new challenges
Intellectual agility, curiosity, and creativity
Entrepreneurial spirit and flexibility
Azure experience preferred; AWS or GCP experience welcome
Snowflake and dbt experience is a plus
Internal tools or full-stack application experience is a plus
Financial services, energy, or another data-heavy environment experience is advantageous

Benefits

Comp & perks

Discretionary bonus
Health care benefits
Retirement benefits
Paid sick leave
Paid parental leave
Paid time off or vacation benefits