#1548
iencies.
Responsibilities:
Partner with data operation engineer, system analysts, and data architect to design scalable data solutions.
Provide guidance on best practices for data architecture, storage, and processing.
Contribute to documentation, standards, and knowledge sharing across the team.
Qualifications:
Required
Bachelor's or master's degree in computer science, Data Engineering, or related field
5+ years of experience in ETL development
Experience managing offshore or distributed teams is strongly preferred
Strong proficiency in SQL and experience with ETL/ELT tools (e.g., DBT, Talend, Matillion, Informatica, custom Python scripts)
Hands-on experience with cloud data platforms (e.g., Snowflake, Azure Synapse, Redshift)
Knowledge of CI/CD practices and version control (e.g., Git)
Strong understanding of ETL/ELT processes, data warehousing, and data modeling
Strong problem-solving skills and a proactive approach to identifying and resolving issues
Excellent communication skills to manage cross-functional and cross-cultural teams
Preferred
Knowledge of Python or other scripting languages for automation
Familiarity with monitoring tools
Experience working in Agile or DevOps environments
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$100,000 - $140,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age