Join to apply for the Data Engineer role at Creative Financial Staffing (CFS)
Join to apply for the Data Engineer role at Creative Financial Staffing (CFS)
Creative Financial Staffing (CFS) provided pay range
This range is provided by Creative Financial Staffing (CFS). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$130,000.00/yr - $150,000.00/yr
Senior Data Engineer | Permanent | No Sponsorship Available
- Our client is a highly successful, industry-leading insurance company with over 100 years of experience
- The company prioritizes core values of integrity, dependability, collaboration, compassion and growth
- Inclusive and welcoming environment where diversity is celebrated
- Offers Employee Resource Groups for professional development and networking
- Fully remote work environment supported across multiple states
Senior Data Engineer | Permanent | No Sponsorship Available
About Our Client
- Our client is a highly successful, industry-leading insurance company with over 100 years of experience
- The company prioritizes core values of integrity, dependability, collaboration, compassion and growth
- Inclusive and welcoming environment where diversity is celebrated
- Offers Employee Resource Groups for professional development and networking
- Fully remote work environment supported across multiple states
Benefits & Compensation
- Compensation: $130,000 to $150,000 per year
- PTO: 20 days growing to 25 days after 5 years + 11 paid holidays
- Retirement: 401(k) match up to 9%
- Medical: Health care, dental, vision + HSA contribution up to $1,500 (Family)/$1,000 (Single)
- Other: Annual performance bonus, paid parental leave, paid sabbatical after 8 years, education assistance, paid volunteer time
Responsibilities For The Senior Data Engineer
- Develop and optimize data pipeline architecture and data flow for cross-functional teams
- Build AWS infrastructure using Python, PySpark, and various AWS services
- Implement infrastructure as code (IaC) and CI/CD practices
- Build analytics tools for actionable business insights
- Provide technical leadership and mentoring to junior engineers
- Maintain and optimize database and analytics systems
Preferred Experience For The Senior Data Engineer
- 5+ years of experience with Python and building data pipelines
- Experience working in a technical Amazon QuickSight Environment
- 3+ years of experience with AWS services and infrastructure as code
- Strong knowledge of Terraform and GitHub
- Experience with DevOps practices and infrastructure automation
- AWS certifications are a plus
Timing is everything. Whether you are aggressively in a job search or simply passive and looking for the ideal position, we would like to have the chance to share our opportunities with you. We specialize in placement of IT professionals. Please contact me for more information about this role as well as other opportunities.
#INJUN2025 #ZRCFSTECH
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