Databricks Genie

Databricks Genie Finance Jobs

2 jobs found

Today

Data Engineer, Finance

SHIELD AI San Diego, CA

San Diego, CA

Today

$97k - $140k/yr Full time Ai/ml Data Engineering Artificial Intelligence Big Data

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Job Description

Shield AI is building a governed, dependable data foundation that supports Finance planning, analytics, and AI-enabled decision support. As a Data Engineer, Finance, you will focus on reusable Databricks integrations, semantic-layer infrastructure, and production data services that help power analytics and intelligent Finance workflows. This onsite role is based in San Diego, CA.

Compensation for the position is USD 97,000 - 140,000 per year.

Benefits

Bonus + Benefits + Equity
Pay within the range listed, plus bonus and benefits and equity
Pay within the range listed above with a temporary benefits package (applicable after 60 days of employment)

Responsibilities

Build and operate scalable pipelines and integrations connecting enterprise data to Finance products.
Develop semantic-layer infrastructure and governed data access for analytics, planning, and AI applications.
Set up end-to-end pipeline observability, including data-quality controls and resilient operational practices.
Engineer the services and integrations that support Databricks Genie and other AI-enabled Finance workflows.
Use AI coding assistants to accelerate delivery while validating correctness, security, and performance.
Apply FinOps practices to manage platform spend and optimize cost without reducing service quality.
Partner with analytics engineers and enterprise teams on architecture, data contracts, and sustainable ownership.

Requirements

Hands-on production data engineering experience using SQL and Python or PySpark.
Experience with cloud data platforms, orchestration, data modeling, and governed serving patterns.
Ability to design for observability, recoverability, security, and maintainability.
Proficiency with AI coding assistants and the ability to independently validate generated work.
Practical experience enabling AI capabilities on enterprise data, ideally in Databricks; experience with Snowflake Cortex or comparable platforms is welcome.
Strong cross-functional collaboration and production ownership.

Technologies

Databricks
SQL
Python
PySpark
Snowflake Cortex
Databricks Genie
Delta Lake

Preferred Qualifications

Experience with Databricks, Delta Lake, cloud infrastructure, and deployment automation.
Experience building AI application backends, model integrations, or LLM-based workflows.
Experience with FinOps, financial data, or enterprise-system integrations.

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8d ago

Senior Analytics Engineer - Finance (R6185)

SHIELD AI San Diego, CA

San Diego, CA

8d ago

$120k - $190k/yr Full time Senior Analytics Engineering Artificial Intelligence

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Job Description

SHIELD AI is hiring a Senior Analytics Engineer (Finance) to design and deliver trusted data products for Finance and go-to-market stakeholders.

Key Responsibilities

Collaborate with Finance and GTM leaders to shape the analytics roadmap, prioritize high-impact products, and resolve competing requirements
Design and deliver governed datasets and semantic models that enable reporting, planning, scenario analysis, and strategic decision-making
Set modeling and metric standards across domains, applying judgment across architecture, data quality, and maintainability
Build conversational analytics and AI-enabled workflows, leveraging Databricks Genie with grounded, trusted business context
Use AI coding assistants to accelerate delivery and explore new capabilities while maintaining rigorous validation and quality
Own business-facing reconciliation and acceptance for outputs, partnering with data engineering for reliable delivery
Mentor engineers and Finance partners to strengthen technical practices and expand self-service capabilities

Requirements

Substantial experience in analytics engineering, BI engineering, or financial data modeling, with advanced SQL and a record of shipping production data products
Proven ability to lead ambiguous, cross-functional work from problem definition through adoption
Proficiency with AI coding assistants and sound judgment when reviewing generated work
Practical experience with AI-assisted analytics, ideally Databricks Genie; experience with Snowflake Cortex or comparable tools is welcome
Sound architectural judgment and disciplined development practices
Experience mentoring others and influencing senior stakeholders

Technology Stack

Databricks
Databricks Genie
SQL
Snowflake Cortex
Python

Benefits

Pay within the range listed + Bonus + Benefits + Equity
Pay within the range listed above + temporary benefits package (applicable after 60 days of employment)

Preferred Qualifications

Experience with Databricks, Python, semantic layers, or AI application development
Experience supporting FP&A, GTM, Strategic Finance, Accounting, or Program Finance
Familiarity with enterprise planning, financial controls, or high-growth business environments

Compensation

USD 120,000 - 190,000 per yearly

Location: San Diego, CA (onsite)

Employment Type: Full-time regular employee offer package (or temporary employee offer package as applicable)

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Databricks Genie Finance Jobs

Data Engineer, Finance

Senior Analytics Engineer - Finance (R6185)

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