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Volunteer Semantic Jobs (NOW HIRING)

Candid

$100 - $130/hr

... leave, volunteer, holiday, parental), short-term and long-term disability, pre-tax transit ... Build enabling tooling and dashboards (for example, semantic search over text, or Streamlit ...

Candid

Data Scientist

... leave, volunteer, holiday, parental), short-term and long-term disability, pre-tax transit ... Build enabling tooling and dashboards (for example, semantic search over text, or Streamlit ...

AVEVA

Experienced Software Developer

Philadelphia, PA · On-site

$124K - $236K/yr

FSA and supplemental insurance; paid parental leave; 3 days paid volunteering; summer Fridays; ... graphs, ontologies, and semantic data modeling concepts to support AI-driven solutions.

SEI Investments

Data Scientist II

Oaks, PA · On-site

Semantic search architectures * Agentic AI frameworks * Prompt engineering * Model evaluation ... We offer our employees paid parental leave, back-up childcare arrangements, paid volunteer days ...

Audax Group

Data Analytics Co-Op

Boston, MA · On-site

$30 - $34/hr

Work with professionals to scale the semantic layer within the company's cloud enterprise data ... leave, volunteer leave, and vacation), charitable donation match, family support services ...

Hunter Industries

Senior Data Engineer

San Marcos, CA · On-site

$108K - $146K/yr

... and semantic layer. * Experience integrating data from Oracle Fusion (ERP/EPM) and other on ... Company donation matching and volunteer rewards * Career development opportunities and profit ...

Experian

Staff Platform Architect, Data & AI (Remote)

$133K - $239K/yr

Develop the infrastructure for our semantic and ontology layers. (including authoring and ... Flexible time off including volunteer time off, vacation, sick and 12-paid holidays * Explore all ...

Hunter

Senior Data Engineer

San Marcos, CA · On-site

$130 - $145/hr

... and semantic layer. * Experience integrating data from Oracle Fusion (ERP/EPM) and other on ... Company donation matching and volunteer rewards * Career development opportunities and profit ...

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As of Sep 5, 2026, the average hourly pay for volunteer semantic in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

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Infographic showing various Volunteer Semantic job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

Data Analytics Engineer II

Mercury Insurance Services, LLC

Remote

$94K - $179K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Mercury Insurance rating

9.1

Company rating: 9.1 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

29th of 315 rated insurance

Job description

Overview
Position Summary:
We're looking for an Analytics Engineer II to build our next-generation enterprise metrics store and enable insights across underwriting, sales, product, claim and experience. This role blends analytics engineering and prompt engineering, supporting our journey toward a fully governed, AI-ready data ecosystem.
As an Analytics Engineer, you will sit at the intersection of:
• data modeling (dbt, semantic layer)
• business metrics (insurance domain: quotes, binds, premium, agency performance)
• analytics engineering (root cause analysis, metric relationships, metric store)
This is a hands-on role where you will design, build, and scale core metrics and analytical workflows, working closely with product, business, and engineering stakeholders. The team is evolving toward exposing metric infrastructure as internal services, so you'll have the opportunity to shape that API layer as it matures.
Geo-Salary Information
An in-person interview may be required during the hiring process
State specific pay scales for this role are as follows:
$94,458 to $179,048 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)
$X85,871 to $162,771 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)
$77,283 to $146,494 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)
The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.
Responsibilities
Essential Job Functions:
  • Build and scale the metric layer
  • Develop and maintain dbt models
  • Contribute to semantic layer definitions (metrics, dimensions, relationships)
    Ensure consistency and correctness of: key business metrics o metric hierarchies (metric pyramid)
  • Implement analytical logic (root cause analysis & metric insights)
  • Build root cause analysis workflows:
    Implement baseline comparisons , companion metric analysis
  • Translate business questions into scalable analytical patterns
  • Enable metric consumption across tools
    Support metric usage in different BI or analytical tools
  • Build reusable logic that avoids duplication across tools
  • Prepare for future API-based metric serving layer
  • Partner with business and product stakeholders
  • Work closely with sales, product, underwriting, claims, experience and other business teams, Translate ambiguous questions into:
  • Structured metrics
  • Actionable insights
  • Improve data quality and governance
  • Define and enforce:
  • Metric definitions
  • Dimension standards
  • Data contracts
  • Debug issues across:
  • Upstream pipelines
  • Semantic layer
  • Analytical outputs

Qualifications
Education:
  • Bachelor's Degree in Computer science, Statistics or similar
  • 3-5 years of analytics engineering or similar analytical role experience with dbt or similar transformation frameworks proficiency: models, tests, incremental materialization, Jinja macros
  • Advanced SQL on a columnar warehouse (Redshift, Snowflake, or BigQuery)
  • Python for data transformation and analysis (pandas, basic scripting)
  • Comfort working with YAML-based configuration and version-controlled analytics workflows
  • Clear written and verbal communication-able to explain metric definitions and data lineage to non-technical stakeholders
  • Nice to have
    P&C insurance domain experience
    Experience with:
    Cohort analysis
    Funnel metrics
    Performance analysis
    Familiarity with MetricFlow specifically and the dbt Semantic Layer
    Exposure to Retool or similar low-code tools for operational write-back workflows
    FastAPI or similar Python API frameworks (Flask, Django REST) for serving data products as services

About the Company
Why choose a career at Mercury?
At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can't imagine a world without it.
Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.
We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.
Learn more about us here: https://www.mercuryinsurance.com/about/careers
Perks and Benefits
We offer many great benefits, including:
  • Competitive compensation
  • Flexibility to work from anywhere in the United States for most positions
  • Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
  • Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
  • Medical, dental, vision, life, and pet insurance
  • 401 (k) retirement savings plan with company match
  • Engaging work environment
  • Promotional opportunities
  • Education assistance
  • Professional and personal development opportunities
  • Company recognition program
  • Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more

Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law.
Pay Range
USD $94,458.00 - USD $179,048.00 /Yr.

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