Data Operations & Database Engineer

The Hartford•Wayne, PA

16d

About The Position

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.

Requirements

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

Nice To Haves

Knowledge of Python or other scripting languages for automation
Familiarity with monitoring tools
Experience working in Agile or DevOps environments

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.