Pay
In line with similar jobs
$120K–$190K against $122K–$190K, the middle half of what similar US postings state.
From 321 postings in the last year. Stated ranges, not salaries paid.
Senior Analytics Engineer - Finance
San Diego, California
Live, first seen by us 22 days ago- Pay
USD 120,000–190,000/year — pay source
Salary 120,000 – 190,000 USD per year #LI-TF1
Read the full posting- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Full-time — employment source
Employment type Full Time Employee
Employment type in the employer’s posting: Full Time Employee
From the employer’s posting
What you’ll work on
Full postingShape the analytics roadmap with Finance and GTM leaders
Build governed datasets and semantic models for reporting and planning
Set modeling and metric standards across domains
Develop conversational analytics and AI-enabled workflows, including Databricks Genie
Own business-facing reconciliation and acceptance with data engineering
From the employer’s posting
Shape the analytics roadmap with Finance and GTM leaders
Build governed datasets and semantic models that support reporting, planning, scenario analysis, and strategic decisions
Set modeling and metric standards across domains
Develop conversational analytics and AI-enabled workflows, including Databricks Genie
Own business-facing reconciliation and acceptance, partnering with data engineering on reliable delivery
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in computer science or a related technical or quantitative field and a minimum of 5 years of related experience OR Master's and a minimum of 3 years of related experience.
- Demonstrated 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; adjacent Snowflake Cortex or comparable experience is welcome.
Preferred experience
- 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.
Qualification wording
Bachelor’s degree in computer science or a related technical or quantitative field and a minimum of 5 years of related experience OR Master's and a minimum of 3 years of related experience.
Demonstrated 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; adjacent Snowflake Cortex or comparable experience is welcome.
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.
Education & alternatives
Required qualifications: - Bachelor’s degree in computer science or a related technical or quantitative field and a minimum of 5 years of related experience OR Master's and a minimum of 3 years of related experience. - Substantial experience in analytics engineering, BI engineering, or financial data modeling, with advanced SQL and a record of delivering production data products.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 13, 202622 days ago
- Recorded sightings
- 102
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Oct 10, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 22
Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
Shieldai is hiring
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Databricks
- Snowflake
Where the posting names them
Preferred qualifications: - Experience with Databricks, Python, semantic layers, or AI application development. - Experience supporting FP&A, GTM, Strategic Finance, Accounting, or Program Finance.
- Bachelor’s degree in computer science or a related technical or quantitative field and a minimum of 5 years of related experience OR Master's and a minimum of 3 years of related experience. - Substantial experience in analytics engineering, BI engineering, or financial data modeling, with advanced SQL and a record of delivering production data products. - Demonstrated ability to lead ambiguous, cross-functional work from problem definition through adoption.
Job Description: Shield AI is seeking a Senior Analytics Engineer to lead the design and delivery of trusted data products for Corporate FP&A, Accounting, Program Finance, GTM, and Strategic Finance. You will independently shape analytical solutions, establish shared standards, and turn business priorities into AI-enabled decision support on our Databricks platform. This senior individual contributor role combines hands-on engineering with cross-functional influence and mentorship to expand Finance's impact. What you'll do:
- Set modeling and metric standards across domains, exercising judgment on architecture, quality, and maintainability. - Develop conversational analytics and AI-enabled workflows, including Databricks Genie, grounded in trusted business context. - Use AI coding assistants to accelerate delivery and explore new capabilities while maintaining rigorous validation and quality.
- Proficiency with AI coding assistants and sound judgment when reviewing generated work. - Practical experience with AI-assisted analytics, ideally Databricks Genie; adjacent Snowflake Cortex or comparable experience is welcome. - Sound architectural judgment, disciplined development practices, and experience mentoring others and influencing senior stakeholders.
Your next step
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About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
Shield AI is seeking a Senior Analytics Engineer to lead the design and delivery of trusted data products for Corporate FP&A, Accounting, Program Finance, GTM, and Strategic Finance. You will independently shape analytical solutions, establish shared standards, and turn business priorities into AI-enabled decision support on our Databricks platform. This senior individual contributor role combines hands-on engineering with cross-functional influence and mentorship to expand Finance's impact.
What you'll do:
- Shape the analytics roadmap with Finance and GTM leaders, prioritizing high-impact products and resolving competing requirements.
- Build governed datasets and semantic models that support reporting, planning, scenario analysis, and strategic decisions.
- Set modeling and metric standards across domains, exercising judgment on architecture, quality, and maintainability.
- Develop conversational analytics and AI-enabled workflows, including Databricks Genie, grounded in 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, partnering with data engineering on reliable delivery.
- Mentor engineers and Finance partners, strengthening technical practices and self-service capabilities.
Required qualifications:
- Bachelor’s degree in computer science or a related technical or quantitative field and a minimum of 5 years of related experience OR Master's and a minimum of 3 years of related experience.
- Substantial experience in analytics engineering, BI engineering, or financial data modeling, with advanced SQL and a record of delivering production data products.
- Demonstrated 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; adjacent Snowflake Cortex or comparable experience is welcome.
- Sound architectural judgment, disciplined development practices, and experience mentoring others and influencing senior stakeholders.
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.
Salary
120,000 – 190,000 USD per year
#LI-TF1
#LC
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Employment type
Full Time Employee
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 120,000 – 190,000 USD per year #LI-TF1
- Location & working pattern
San Diego, California
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.