Data Operations & Database Engineer

The Hartford; Wayne (PA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading insurance company is seeking a Data Operations & Database Engineer to design and monitor ETL/ELT pipelines, manage databases, and partner with other data professionals. Ideal candidates will have over 7 years of experience in data engineering, with strong SQL skills and proficiency in ETL/ELT tools like DBT and Talend. The role offers a comprehensive compensation package, including a competitive base salary ranging from $120,000 to $160,000 annually. Other incentives may also be available.

Qualifications

• 7+ years of experience in data engineering, database administration, or related roles.
• Strong proficiency in SQL and experience with ETL/ELT tools.
• Hands‑on experience with cloud data platforms.

Responsibilities

• Design and monitor robust ETL/ELT pipelines.
• Manage, optimize, and maintain databases.
• Partner with data engineers, analysts, and architects.

Skills

SQL

ETL/ELT tools

Cloud data platforms

CI/CD tools

Data modeling

Problem-solving

Tools

Snowflake

Azure Synapse

Redshift

GitHub Actions

Azure DevOps

Airflow

Talend

Job description

Join to apply for the Data Operations & Database Engineer role at The Hartford.

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.

Responsibilities

• Design and monitor robust ETL/ELT pipelines; monitor data quality, pipeline health, system performance; troubleshoot and resolve data processing issues quickly and effectively.
• Manage, optimize, and maintain databases; ensure high availability, backup, disaster recovery; implement security policies, access control, auditing; perform performance tuning, indexing, query optimization; support schema design and data modeling; execute ad‑hoc data cleanup and corrections.
• 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 infrastructure bottlenecks and inefficiencies; contribute to documentation, standards, and knowledge sharing across the team.

Required Qualifications

• 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 Qualifications

• 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. The base pay range for this role is: $120,000 - $160,000. Other rewards may include short‑term or annual bonuses, long‑term incentives, and on‑the‑spot recognition.

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age