招聘
Required Skills
SQL
ETL/ELT
Data modeling
Data governance
Application Dev Consultant - 87ID5E
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
Hartford Funds is seeking a highly skilled and reliable Data Operations & Database Engineer to join our data team. This individual will be responsible for ensuring the smooth operation, deployment, and optimization of data pipelines and database systems. They will serve as a trusted advisor to data engineers and architects, contributing to the design and implementation of scalable, efficient, and secure data solutions.
This role requires a strong foundation in SQL, ETL processes, and cloud data platforms, along with a proactive mindset for identifying and resolving data bottlenecks and inefficiencies.
Responsibilities:
- Data Operations Design and monitor robust ETL/ELT pipelines.
- Monitor data quality, pipeline health, and system performance.
- Troubleshoot and resolve data processing issues quickly and effectively.
- Database Administration Manage and optimize databases.
- Ensure high availability, backup, and disaster recovery strategies.
- Implement and maintain security policies, access controls, and auditing.
- Perform performance tuning, indexing, and query optimization.
- Support schema design and data modeling efforts.
- Executing ad-hoc data cleanup and corrections.
- Collaboration & Advisory Partner with data engineers, analysts, and architects to design scalable data solutions.
- Provide guidance on best practices for data architecture, storage, and processing.
- Identify and resolve data infrastructure bottlenecks and inefficiencies.
- Contribute to documentation, standards, and knowledge sharing across the team.
Qualifications:
Required
- 7+ years of experience in data engineering, database administration, or related roles.
- Strong proficiency in SQL and experience with ETL/ELT tools (e.g., DBT, Talend, Informatica, custom Python scripts)
- Hands-on experience with cloud data platforms (e.g., Snowflake, Azure Synapse, Redshift)
- Familiarity with CI/CD tools (e.g., GitHub Actions, Azure DevOps) and workflow orchestration (e.g., Airflow, Talend)
- Solid understanding of data modeling, data governance, and security best practices
- Strong problem-solving skills and a proactive approach to identifying and resolving issues
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:
$120,000 - $160,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits
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About Hartford

Hartford
BootstrappedAn e-store that retails different types of clothes and accessories for men, women, and children.
51-200
Employees
Paris
Headquarters
Reviews
3.8
9 reviews
Work Life Balance
2.8
Compensation
2.5
Culture
3.9
Career
3.2
Management
3.1
67%
Recommend to a Friend
Pros
Great training programs
Good company culture and work environment
Supportive and accessible management
Cons
Management issues and instability
Low compensation and merit increases
High call volume and long hours
Salary Ranges
29 data points
Mid/L4
Senior/L5
Mid/L4 · BUSINESS INTELLIGENCE DEVELOPER
1 reports
$107,484
total / year
Base
$82,680
Stock
-
Bonus
-
$107,484
$107,484
Interview Experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 67%
Negative 33%
Interview Process
1
Phone Interview
2
Video Interview
3
Analyst Interview
4
Trader Interview
5
Vice President Interview
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