Ibotta

2 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Senior data engineer responsible for leading data contract standards, AI-ready data pipelines, and governance across the data estate. You’ll own AI readiness scoring, develop semantic layers, drive data quality and observability, and mentor junior engineers while collaborating with cross-team stakeholders to accelerate AI-enabled data solutions.

Location: Denver

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Data Contract and Metadata Standards: Lead the design and rollout of data contract standards that codify table ownership, schema expectations, and quality thresholds; enforce standards through automated validation in the deployment pipeline; collaborate with data owners to improve metadata coverage across the team's data estate
•AI Readiness Scoring: Own the end-to-end architecture and delivery of the automated scoring pipeline that evaluates data assets on their readiness for AI and analytical use; build and maintain the jobs that collect quality signals and surface scores to data teams
•AI Governance and Compliance: Drive adoption of governance frameworks across the data estate; maintain tagging and lineage automation frameworks; help translate data access and privacy policies into practical guardrails in partnership with the platform team; monitor AI usage across the company, defining new avenues for AI assistance
•AI Trust and Reliability: Build the systems that make people actually trust what the AI tells them about our data, such as query accuracy checks, guardrails that keep AI tools on certified data, and clear attribution so users can see where an answer came from; make sure we have the monitoring in place to catch problems before they erode confidence
•Semantic Layer Contributions: Build and maintain the semantic framework that make data assets more legible to both people and AI systems, adding descriptions, context, and query guidance that improve the accuracy of natural language queries; work with analysts and domain experts to capture and formalize business definitions

Pay and Benefits

Salary: USD 144,000 - 165,000 annually

Equity and Bonus:Equity

Perks:MedicalDentalVision401kEquity

Key Requirements

•5+ years of software engineering experience with a focus on data engineering, analytics engineering, or backend development
•Demonstrated ability to lead complex, multi-stakeholder data initiatives from scoping through delivery; experience writing technical design documents
•Expertise in Python, SQL, and Databricks, and experience with medallion architecture (bronze/silver/gold) or similar layered data design patterns
•Independently design and implement semantic layers to ensure AI agents utilize governed, consistent metric definitions
•Experience working in data governance concepts (metadata standards, data ownership, schema enforcement, access control) and data quality practices

Experience:5+ yearsData platformAI

Education:Bachelor's

Skills:LeadershipCollaborationCommunicationProblem-solvingMentoring

Tech Stack:PythonSQLDatabricksLLM APIsClaudeCopilotDatabricks Genie

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Ibotta

Ibotta is a mobile cashback and rewards platform that enables consumers to earn rebates and discounts on grocery, retail, and online purchases while providing brands and retailers with promotional and shopper insights.

Industry: E-commerce

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Funding: Series D

Headquarters: Denver, United States

Founded: 2012

Website LinkedIn

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Ibotta

2 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Denver

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Data Contract and Metadata Standards: Lead the design and rollout of data contract standards that codify table ownership, schema expectations, and quality thresholds; enforce standards through automated validation in the deployment pipeline; collaborate with data owners to improve metadata coverage across the team's data estate
•AI Readiness Scoring: Own the end-to-end architecture and delivery of the automated scoring pipeline that evaluates data assets on their readiness for AI and analytical use; build and maintain the jobs that collect quality signals and surface scores to data teams
•AI Governance and Compliance: Drive adoption of governance frameworks across the data estate; maintain tagging and lineage automation frameworks; help translate data access and privacy policies into practical guardrails in partnership with the platform team; monitor AI usage across the company, defining new avenues for AI assistance
•AI Trust and Reliability: Build the systems that make people actually trust what the AI tells them about our data, such as query accuracy checks, guardrails that keep AI tools on certified data, and clear attribution so users can see where an answer came from; make sure we have the monitoring in place to catch problems before they erode confidence
•Semantic Layer Contributions: Build and maintain the semantic framework that make data assets more legible to both people and AI systems, adding descriptions, context, and query guidance that improve the accuracy of natural language queries; work with analysts and domain experts to capture and formalize business definitions

Pay and Benefits

Salary: USD 144,000 - 165,000 annually

Equity and Bonus:Equity

Perks:MedicalDentalVision401kEquity

Key Requirements

•5+ years of software engineering experience with a focus on data engineering, analytics engineering, or backend development
•Demonstrated ability to lead complex, multi-stakeholder data initiatives from scoping through delivery; experience writing technical design documents
•Expertise in Python, SQL, and Databricks, and experience with medallion architecture (bronze/silver/gold) or similar layered data design patterns
•Independently design and implement semantic layers to ensure AI agents utilize governed, consistent metric definitions
•Experience working in data governance concepts (metadata standards, data ownership, schema enforcement, access control) and data quality practices

Experience:5+ yearsData platformAI

Education:Bachelor's

Skills:LeadershipCollaborationCommunicationProblem-solvingMentoring

Tech Stack:PythonSQLDatabricksLLM APIsClaudeCopilotDatabricks Genie

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Ibotta

Industry: E-commerce

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Funding: Series D

Headquarters: Denver, United States

Founded: 2012

Website LinkedIn