Analytics Engineer

Addi

. Own Addi’s marketing data platform, pipelines, and integrations connecting data to Braze, AppsFlyer, GTM, Marketplace, and the App .

Posted 10/9/2026full-timeRemote • ColombiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing marketing data platforms, including building and operating ELT pipelines, automating data workflows, and ensuring data reliability and governance. Proficient in SQL, data integration, and collaboration with both technical and non-technical stakeholders.

Highest-signal resume keywords

SQL ProficiencyELT Pipeline DevelopmentData Automation with PythonExperience with dbt and AirflowMarketing Tool Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData IntegrationELT PipelinesData AutomationAPI IntegrationsData Quality MonitoringData DocumentationData Catalog ManagementIncremental LogicWindow Functions

Soft Skills

Clear CommunicationProblem-SolvingCollaborationTask DelegationIndependent Backlog Management

Tools & Technologies

DbtAirflowGitBrazeAppsFlyerGTMSQL WarehousesCoding AgentsNotebooksMCP Servers

Certifications & Qualifications

Data Platform Certification

Industry Keywords

Marketing DataData GovernanceData Privacy RulesFintech ExperienceRegulated Industry Experience

Tech Stack

Tools & technologies

AirflowAWSETLPythonSparkSQL

About the role

Key responsibilities & impact

Own Addi’s marketing data platform, pipelines, and integrations connecting data to Braze, AppsFlyer, GTM, Marketplace, and the App
Make marketing data reliable, efficient, governed, and self-service using AI agents as the default way of working
Map the marketing data platform end to end during the first 90 days
Document sources, jobs, tables, and integrations for people and AI agents
Identify pain points and share a prioritized roadmap
Add tests and alerts to critical marketing pipelines
Achieve at least 99% on-time data for key tables and integrations
Reduce data incidents by 50% and identify root causes within two business days
Ship at least two AI agents or agentic workflows into production by month six
Automate recurring marketing data work such as audience requests, data-quality triage, and documentation upkeep
Provide runbooks and improve deployed agentic workflows
Reduce the cost or runtime of main marketing pipelines by at least 30% by month nine
Remove unused or duplicated tables and jobs
Maintain a catalog of marketing tables, events, and attributes with owners and approval rules
Ensure marketing-tool data comes from official pipelines
Collaborate with Marketing, Growth, Marketplace, technical, and non-technical stakeholders

Requirements

What you’ll need

Proven experience writing and debugging complex SQL without AI
Proficiency with joins at scale, window functions, CTEs, and incremental logic
Ability to identify incorrect query results and explain why
Experience building clean, reusable tables and datamarts
Track record of building and operating ELT pipelines on a modern data platform
Hands-on experience with dbt, Airflow or similar, Git, and code reviews
Experience with SQL warehouses, notebooks, and scheduled jobs
Understanding of catalogs, schemas, tables, and permissions
Experience using tests, monitoring, and alerts; comfort with on-call and root-cause issue resolution
Ability to automate and integrate with Python
Experience building scripts and API integrations that others can run
Daily experience using coding agents such as Claude Code, Codex, Cursor, or similar
Ability to write specifications, delegate multi-step tasks to agents, and review results
Experience building agents or agentic workflows chaining LLM calls with tools such as SQL, APIs, or MCP servers
Understanding of agent failure modes, guardrails, and testing with real inputs
Experience validating AI output and implementing checks
Experience writing documentation and runbooks usable by teammates and AI agents
Ability to translate Marketing, Growth, and Marketplace needs into appropriate data solutions
Ability to manage an independent backlog and ship without close direction
Clear communication with technical and non-technical people
English is a must
Desirable: marketing tools such as Braze, AppsFlyer, or GTM
Desirable: reverse ETL or CDP experience
Desirable: advanced pipeline tools, Spark performance tuning, or a data platform certification
Desirable: LLM APIs, LiteLLM, or MCP servers
Desirable: A/B testing and basic statistics
Desirable: knowledge of data privacy rules, including consent, opt-out, and Habeas Data
Desirable: AWS and fintech or regulated-industry experience

Benefits

Comp & perks

Competitive compensation
Equity in the company
Benefits that go beyond the basics
Opportunity to work remotely
Growth opportunity
Work alongside a world-class team
Interview recording opt-out without impact on candidacy
Feedback provided regardless of hiring outcome