3 дня назад
Analyst, Data Office: Data Engineering – United States, Multiple Locations
86 200 - 103 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analyst, Data Office: Data Engineering (Data Engineering/Data Architecture): Developing scalable data pipelines and modern software systems that transform raw data into usable information for analytics and business decision-making with an accent on cloud technologies, data quality, security, and compliance. Focus on building reliable data solutions with AWS, Python/PySpark, APIs, deployment strategies, and testing practices.
Location: Charlotte, North Carolina, USA; analyst positions require in-office work at least four days per week.
Salary: $86,200–$103,500 per year
Company
provides commercial and personal insurance solutions and property casualty risk management services.
What you will do
- Develop data pipelines that collect, manage, and transform raw data for business analysis, data science, and other analytical use cases.
- Build modern, scalable, reliable, and secure data solutions using cloud-based technologies.
- Support data architecture and software systems with APIs, agents, Blue/Green Deployment, chaos testing, and A/B testing.
- Apply code and data quality, security, and compliance standards.
- Participate in a structured early-career program with on-the-job learning, masterclasses, mentoring, networking, and volunteering.
Requirements
- Bachelor’s or Master’s degree completed by June 2027 in a STEM major or with relevant STEM coursework.
- Eligible to start the program on July 26, 2027.
- Ability to work in the office at least four days per week.
- Strong written and verbal communication, analytical, problem-solving, organizational, and attention-to-detail skills.
- Ability to collaborate, manage multiple priorities, and adapt in a fast-paced team environment.
Nice to have
- Familiarity with AWS services such as EMR, Glue, and Step Functions.
- Experience or knowledge of Python, PySpark, Git, Claude Code, or OpenAI Codex.
Culture & Benefits
- In-person collaboration within a connected early-career cohort.
- Mentoring circles, networking, continuous learning, and professional development opportunities.
- Total Rewards benefits supporting health, wellbeing, financial security, and family needs.
- Volunteer Time Off, Matching Grants Programs, Employee Resource Groups, and an inclusion-focused culture.
Hiring process
- Applications are reviewed on a rolling basis through November 15, 2026, at 11:59 p.m. ET.
- An unofficial transcript is required upon application.
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