AI Data Engineer

BetterUp

AI Data Engineer at BetterUp designing scalable data pipelines and deploys AI tools for GTM use cases. Collaborating cross-functionally to enhance analytics and reporting workflows.

Posted 5/15/2026full-timeAustin • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $133,000 - $185,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudETLPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines that serve clean, reliable data across the GTM stack.
Own and evolve our data warehouse architecture (Snowflake) to support GTM analytics, reporting, and AI workloads.
Establish and enforce data quality standards, documentation practices, and governance frameworks to ensure trustworthy data at scale.
Develop and maintain dbt models, SQL transformations, and Python scripts that power self-serve reporting and downstream analysis.
Define and track key GTM metrics, ensuring consistent definitions and reliable data pipelines that support executive and board-level reporting.
Develop and deploy AI tools for high-impact GTM use cases including lead scoring, pipeline forecasting, churn prediction, and customer segmentation.
Partner with Sales, Marketing, and RevOps stakeholders to identify where AI can automate workflows, surface insights, and unlock new capacity.
Integrate LLMs and generative AI tooling into GTM systems to streamline operations and accelerate decision-making.
Measure and iterate on created systems, translating outputs into actionable tools that are accessible to non-technical stakeholders.
Lead cross-functional efforts to integrate AI into core GTM workflows, ensuring adoption across direct and neighboring teams.
Coach teammates through AI adoption, helping them build new capabilities and overcome resistance to change.

Requirements

What you’ll need

3–5 years of experience in data engineering, analytics engineering, GTM engineering or applied AI roles.
Strong proficiency in Python and SQL.
Experience building and maintaining data pipelines, reverse ETL workflows and working with modern cloud data warehouses (Snowflake, BigQuery, or Redshift).
Familiarity with agentic coding tools (Claude Code, Cursor, etc.).
Familiarity with GTM tools and ecosystems (Salesforce, Hubspot, Clay, etc.).
Demonstrated ability to build and deploy models (lead scoring, forecasting, classification) in a business context.
Experience integrating data and AI into CRM and/or marketing automation platforms (Salesforce, HubSpot, Marketo, etc.).
Familiarity with BI tools such as Looker or Hex for dashboard development and self-serve analytics.
Familiarity with software engineering principles and tools (version control, CI/CD, testing, code review, Github etc.)
Systems-level thinking with the ability to trace data and logic across multiple platforms (e.g., HubSpot → Salesforce → Snowflake → BI layer) and understand how changes in one system ripple across the stack.
Strong communication skills with the ability to translate complex technical work into business impact.
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field—or equivalent practical experience.

Benefits

Comp & perks

Access to BetterUp coaching; one for you and one for a friend or family member
A competitive compensation plan with opportunity for advancement
Medical, dental, and vision insurance
Flexible paid time off
All federal/statutory holidays observed
4 BetterUp Inner Work Days
5 Volunteer Days to give back
Learning and Development stipend
Company wide Summer & Winter breaks
Year-round charitable contribution of your choice on behalf of BetterUp
401(k) self contribution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLdata engineeringanalytics engineeringdata pipelinesreverse ETLdata warehouseAI toolsdbtmodel deployment

Soft Skills

communicationcoachingcross-functional collaborationsystems-level thinkingstakeholder engagementchange managementproblem-solvingdata governancedocumentation practicesmetrics tracking

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Data ScienceBachelor’s degree in Engineering