Hybrid Senior Data Engineer

at The Hartford

• Job title: Senior Data Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $117,200 - $175,800 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Distributed Systems, ETL, HDFS, Jenkins, Linux, PySpark, Python, Spark
• Location requirements: Hybrid, Hartford, United States

About the role

• Senior Data Engineer developing solutions within the Global Specialty portfolio at an insurance company. Engaging with diverse business partners to ensure high quality data reporting.

Responsibilities

• Prototype high impact innovations, catering to changing business needs
• Possesses functional knowledge and skills reflective of a competent practitioner with the ability to deliver on work of highest technical complexity
• Consults with functional management in the analysis of short and long-range business requirements and recommends innovations which anticipate the future impact of changing business needs
• Works closely with client management to identify and specify the complex business requirements and processes for diverse development platforms, computing environments (e.g., Cloud, host based, distributed systems, client server), software, hardware, technologies and tools
• Provides highly technical consulting and leadership in identifying and implementing new uses of information technologies that assist the functional business units in meeting their strategic objectives
• Reviews the disaster recovery plan to ensure that new systems promote uninterrupted systems operation
• Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.)
• Researches and evaluates alternative solutions and recommends the most efficient and cost effective solution for the systems design
• Formulates logical statements of business problems and devises, tests and implements efficient, cost effective application program solutions (e.g., codes and/or reuses existing code through the use of program development software alternatives and/or integrates purchased solutions)
• Prepares charts, tables and diagrams to assist in analyzing problems, utilizing various business, scientific, engineering and mathematical techniques.
• Analyzes existing system and programming logic to provide more efficient machine operations or to identify difficulties, and revises the logic and procedures involved as necessary
• Primary technical point of contact for interaction with other cross-functional units and teams.
• Foster a positive work environment by exemplifying cultural values and encouraging others to promote collaboration, accountability, diversity and continuous improvement.

Requirements

• Bachelor’s degree in Computer Science or a related discipline
• 5 or more years’ experience in IT systems analysis and application program development
• 5+ years ETL / Data Integration / Big Data / Cloud (AWS) Technologies experience
• AWS / Big Data Technologies certification preferred
• 3+ years of Python
• 3+ years of Linux
• 2+ years in Snowflake data warehousing, data pipelines and automation.
• 3+ years in Cloud Data modernization (Ingestion, Curation, Data Domains, Data Products).
• Experience with version control tools, CI/CD pipeline and DevOps tools like GitHub, Jenkins Nexus and uDeploy.
• Experience with Artificial Intelligence, AI certifications preferred
• Strong data warehouse applications knowledge in financial/insurance domain preferred
• Strong Global Specialty Insurance knowledge preferred
• Knowledge of data modeling
• Experience with Big Data Distributed Processing (HDFS, Hive, Spark, PySpark), AWS, Data Analytical languages Python, R preferred
• Strong critical thinking skills and analytical ability.
• Proficient in industry standard querying tools.
• Proven ability to organize and manage multiple priorities in a timeline driven environment.
• Knowledge or familiarity with dimensional database structure.
• Excellent facilitation, requirements elicitation and data analysis skills.
• Experience with mentoring and leading other Data Engineers.

Benefits

• Competitive salary
• Short-term or annual bonuses
• Long-term incentives
• On-the-spot recognition