Hybrid Senior Software Engineer – Python

at The Hartford

• Job title: Senior Software Engineer – Python
• Job type: Full Time
• Experience level: Senior
• Salary: $96,800 - $145,200 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, ETL, Hadoop, HBase, Jenkins, MapReduce, Python, Tableau
• Location requirements: Hybrid, Charlotte, United States

About the role

• Senior Software Engineer at The Hartford, leading migration of platforms to AWS and developing data solutions. Focus on enhancing developer experience and delivering scalable applications.

Responsibilities

• Design and develop solutions that are scalable, highly available, fault tolerant and easily maintainable.
• Develop data pipelines, extracting and transforming data, conducting analyses, developing insights, and delivering actionable recommendations to stakeholders in a clear and concise manner.
• Design and develop high quality, scalable data assets that support contemporary BI tools and advanced analytics.
• Prototype high impact innovations, catering to changing business needs, by leveraging Cloud and Big Data technologies.
• Deliver business solutions using state of the art technical frameworks, web and database technologies.
• Proactively address technical issues and risks that could impact project schedule and/or integrity of the application environment.
• Work closely with stakeholders to design and implement solutions that align with the business needs and are consistent with the architectural vision.

Requirements

• Bachelor’s degree
• 4+ years of work experience in IT systems analysis and application program development
• 4+ years ETL/ELT, Data Integration, Big Data experience building data pipelines and processing data through the data processing pipelines for variety of data sets
• Hands on development with Python developments support complex business solutions
• Experience designing and integrating quality data assets for optimal use in BI tools like Tableau
• Expertise in building scalable distributed data processing solutions with Hadoop, HBase, Scoop, Hive
• Developing data pipelines using Streams, Sqoop and MapReduce
• Experience migration of legacy ETL solutions to Hadoop
• Understanding of AWS core services such as S3, RDS, Lambda, API Gateway, ECS, Glue, IAM, KMS, SNS, SQS
• Experience with continuous integration and DevOps methodologies, best practices and tools such as Git, Jenkins, Nexus, Rally, Jira, etc
• Experienced in Agile Scrum and Kanban Methodologies
• Requires excellent business communication skills, analytical ability, strong judgment and management skills, and the ability to work effectively with Business and IT management and staff.
• Candidate must be authorized to work in the US without company sponsorship.

Benefits

• Other rewards may include short-term or annual bonuses
• Long-term incentives
• On-the-spot recognition