Coalition, inc.
Actively Hiring
Protecting the unprotected. We're hiring!
- B2B
- Scale StageRapidly increasing operations
- Top InvestorsThis company has received a significant amount of investment from top investors
- +1
Data Engineer I
- Full Time
Posted: 1 week ago• Recruiter recently active
About the job
Responsibilities
- Own and maintain robust data models that serve all verticals and areas of Coalition’s business
- Set the standard for fidelity and metrics consistency across all data models, ensuring all team members have access to the latest and most accurate data, via query or our business intelligence platform
- Collaborate with Product, Analytics, Engineering, and Business team members to help report on KPIs, OKR performance monitoring, and metrics anomalies
- Improve our analytics data stack’s efficiency and deliver timely data even as the business scales
- Make new data sources available and query-able via a ETL pipeline or other data processing jobs
Skills and Qualifications
- A Bachelor's degree in Statistics, Economics, Mathematics or related technical field
- 1-2 years of experience in related analytical, data science or consulting background
- SQL proficiency with proven competencies in designing well-architected data models, optimizing for query performance, and clearly documenting code
- Strong communication skills and ability to convey complex topics to non-technical audiences
- Passion, drive, and a deep sense of responsibility. We build the systems that keep us and our customers safe!
Bonus Points
- Work in Tableau, Looker, or similar visualization / business intelligence platform
- Experience with dbt, Airflow, dagster, Prefect, or similar analytics engineering tools
- Experience with Python, R, or similar programming language
- Understanding of and experience with experimental design, statistical methods and machine learning
- Experience in insurance, insurtech and fintech industries
- Experience using data science tools like scikit-learn, pandas, numpy, XGBoost, TensorFlow
- Exposure to causal inference and other advanced statistical methods
Compensation
Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $88,000/year in our lowest geographic market up to $134,300/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.
Perks
- 100% medical, dental and vision coverage
- Flexible PTO policy
- Annual home office stipend and WeWork access
- Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
- Competitive compensation and opportunity for advancement
About the company
501-1000
Information Technology
- B2B
- Scale StageRapidly increasing operations
- Top InvestorsThis company has received a significant amount of investment from top investors
- Valuation $1B+This company has a valuation of $1B or more
Employees joined from
Perks
Competitive healthcare benefits
Medical (HSA and FSA available, Dental, Vision, AD&D, Life Insurance are 100% covered by Coalition for individuals and 50% covered for dependents.
Deductible reimbursement for select medical plans.
401(k)
401(k) plan available for all full-time US employees.
Parental leave
Generous parental leave policies.
Remote workforce
Majority of employees work remotely with physical offices in San Francisco, CA and Provo, UT.
Vacation and PTO
Flexible paid time off policy.
Wellness benefits
Fitness and wellness reimbursement available for all employees.
Commuter benefits
Pre-tax contribution for travel expenses.
Pet-friendly office
Pets welcome! Some restrictions apply.
Professional development
Reimbursement for job-relevant accreditations and training
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