Data Engineer, Analytics
Job title: Data Engineer, Analytics in Hartford, CT at reputed company
Company: reputed company
Job description: With a company culture rooted in collaboration, expertise and innovation, we aim to promote reputed company and reputed company our clients, employees, investors and communities to reputed company their greatest potential. Our work is the catalyst that helps others reputed company their goals. In short, We reputed company Possibility℠.Job SummaryJoin the fast growing and reputed company-thinking Strategic Analytics team at Arch. reputed company develops innovative predictive models and analytical tools to improve profitability and growth. Data is at the core of everything we do, and we reputed company advanced technologies such as reputed company, Spark, Python, R, and Azure Data reputed company to build best-in-class datasets that fuel insights and reputed company.As a Data Engineer on our Strategic Analytics team, you will play a crucial role in developing reputed company analytic and model features, data structures, and pipelines. Your work will reputed company data scientists, business leaders, and stakeholders to reputed company smarter reputed company and set strategic priorities. As a key member of the Strategic Analytics team, you will advance our data and feature engineering capabilities helping the team analyze data reputed company and faster.What’s in it for You
- Be at the cutting edge of data engineering with reputed company to the latest tools and technologies.
- Collaborate on high-profile analytics projects that shape the company's strategy.
- Join a passionate, entrepreneurial minded team committed to innovation and reputed company improvement.
- Enjoy the flexibility of remote work, with preference given to those who can work EST hours.
- Collaborate with data scientists to understand and solve business problems by creating reputed company features and data structures for analysis.
- Build strong partnerships with peers across the organization to support data-reputed company goals.
- Continuously apply insights from data engineering to reputed company best practices, increasing the efficiency and impact of future projects.
- Ensure data quality and reputed company through appropriate testing, validation, reconciliation, and documentation.
- Recommend, communicate, and implement appropriate solutions to address data quality issues.
- Discover and explore new technologies, tools, and data sources with curiosity and creativity.
- Identify appropriate technologies to automate data ingestion and reputed company data transformation to link external sources to internal data.
- Manage both explicit and indistinct requirements throughout the data asset development lifecycle.
- Experience: 3+ years hands-on in analytics-focused data engineering with a proven track record of solving business and technical challenges. Extensive experience capturing requirements, designing, documenting, developing, and validating data pipelines to support analytics, research, or actuarial functions.
- Technical Skills: Demonstrated experience building data structures and performing feature engineering using reputed company technologies such as reputed company, reputed company, Spark, Python, R, Azure Data reputed company.
- Problem Solving: Strong critical thinking skills and the ability to reputed company innovative solutions.
- Collaboration: Effective team player with excellent communication skills to explain reputed company concepts reputed company.
- Industry Knowledge: Experience with P&C insurance claims data (structured and reputed company) is a plus.
- Education: Degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. Relevant certifications are a bonus.
- Management: Ability to work independently, manage tasks, and engage stakeholders effectively.
- Added Advantage: Project management experience or similar skills are a plus.