Senior Level Database Coordinator Jobs
Senior level database coordinator jobs place experienced professionals in charge of database architecture decisions, data integrity standards, and the cross-functional projects and teams that keep enterprise systems running reliably. Openings concentrate across Technology & Software, Investment & Asset Management, and Education, with a mix of on-site, remote, and hybrid settings, and employers like Conduent, Databricks, and SMX Services & Consulting hiring at this level now.
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Showing 5 of 36+ Senior Level Database Coordinator jobs
Job Details
Location:
Hartford, CT
Category:
Information Technology
Employment Type:
Full time
Job Ref:
R2627810-168
Senior IT Engineer - IE07BE
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.
About the Company
The Hartford is a leader in property and casualty insurance, employee benefits, and mutual funds. One of the largest insurers in the United States, the company is widely recognized for service excellence, strong governance, sustainability practices, trust, and integrity.
Position Overview
We are seeking a Staff Infrastructure Engineer with strong foundations in networking, security, AWS cloud infrastructure, database technologies, and software engineering, combined with practical experience using AI-assisted engineering tools.
This is a hands-on engineering role for someone who understands how applications, databases, infrastructure, identity, and networks work together. You will design secure solutions, build reliable automation, troubleshoot across technology layers, and use AI to accelerate delivery while maintaining ownership of quality and outcomes.
We value engineering fundamentals, sound judgment, and the ability to learn over expertise in every individual product. Database understanding is important, but this is not exclusively a database administration role.
What Makes This Role Different
- You think across systems, not just within a single technology.
- You understand connectivity, security, application behavior, and data dependencies.
- You build maintainable engineering solutions, not just one-time scripts.
- You use AI effectively because you can evaluate, test, and explain its output.
- You own solutions from design through deployment and ongoing support.
Key Responsibilities
Cloud & Infrastructure Engineering
- Design, build, automate, and support infrastructure across AWS and hybrid environments.
- Configure and troubleshoot compute, storage, networking, identity, and application connectivity.
- Incorporate availability, resilience, performance, capacity, and cost considerations into designs.
- Support infrastructure modernization, migrations, upgrades, and cloud transitions.
Networking & Security
- Troubleshoot connectivity across applications, databases, servers, and cloud services.
- Apply networking fundamentals, including TCP/IP, DNS, routing, subnets, firewalls, load balancing, and private connectivity.
- Build solutions using least-privilege access, secure authentication, encryption, and appropriate secrets management.
- Integrate logging, auditability, vulnerability remediation, and enterprise security controls into engineering workflows.
Software Engineering & Automation
- Develop reusable automation, integrations, and operational tooling using appropriate programming and scripting languages.
- Apply software engineering practices, including modular design, source control, code reviews, testing, error handling, and documentation.
- Use Infrastructure as Code and configuration management to deliver repeatable, controlled changes.
- Integrate infrastructure workflows with APIs, CI/CD pipelines, and enterprise platforms.
- Reduce manual effort and operational complexity through standardization and automation.
Database & Application Integration
- Understand relational database concepts, SQL, authentication, permissions, transactions, and application connection patterns.
- Support database infrastructure with consideration for storage, connectivity, backup and recovery, availability, and performance.
- Collaborate with database specialists and application teams to troubleshoot issues across infrastructure and database boundaries.
- Build automation that interacts safely with databases and respects data protection and access requirements.
AI-Assisted Engineering
- Use approved AI tools to accelerate coding, automation, troubleshooting, analysis, testing, and documentation.
- Provide relevant context and clear instructions to obtain useful AI-generated results.
- Review and validate generated code, configurations, and recommendations before use.
- Recognize incorrect assumptions, insecure patterns, and incomplete solutions.
- Protect sensitive information and follow enterprise requirements for AI use.
- Explain how solutions work, what AI contributed, and how correctness was verified.
Operational Ownership & Collaboration
- Lead troubleshooting and root-cause analysis for complex production issues.
- Improve monitoring, alerting, runbooks, and operational readiness.
- Collaborate with infrastructure, networking, security, database, and application engineering teams.
- Communicate technical decisions, dependencies, risks, and tradeoffs clearly.
- Take ownership of reliability, maintainability, and supportability after deployment.
Required Skills & Experience
- 6–9 years of relevant infrastructure, cloud, systems, platform, or software engineering experience.
- Strong networking fundamentals and hands-on experience diagnosing connectivity issues.
- Working knowledge of security principles, including identity, authentication, authorization, encryption, and least privilege.
- Hands-on AWS experience, including compute, storage, networking, IAM, and monitoring.
- Understanding of relational databases and how applications connect to, authenticate with, and use them.
- Strong programming or scripting ability in one or more languages, such as Python, PowerShell, Go, or TypeScript.
- Experience with Git, code reviews, testing, APIs, and CI/CD practices.
- Experience with Infrastructure as Code and configuration management tools, such as Terraform and Ansible.
- Practical experience using AI-assisted engineering tools, with the ability to independently validate results.
- Experience supporting Windows and/or Linux environments.
- Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications
- SQL Server, PostgreSQL, or other enterprise relational database experience.
- Windows Server, Active Directory, Kerberos, and enterprise authentication experience.
- Familiarity with high availability, disaster recovery, and database migrations.
- Experience with observability, backup, and security monitoring tools.
- Experience building AI-enabled workflows or API-based integrations.
- Familiarity with containers and event-driven architectures.
- AWS certifications or equivalent demonstrated hands-on expertise.
- Experience working in regulated enterprise environments.
What We Offer
- Collaborative, engineering-driven culture.
- Competitive compensation and comprehensive benefits.
- Opportunities to build reusable solutions with meaningful operational impact.
- Continuous learning across cloud, security, automation, databases, and AI.
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:
$116,800 - $175,200
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
Job Details
Location:
Hartford, CT
Category:
Information Technology
Employment Type:
Full time
Job Ref:
R2627810-168
Senior IT Engineer - IE07BE
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.
About the Company
The Hartford is a leader in property and casualty insurance, employee benefits, and mutual funds. One of the largest insurers in the United States, the company is widely recognized for service excellence, strong governance, sustainability practices, trust, and integrity.
Position Overview
We are seeking a Staff Infrastructure Engineer with strong foundations in networking, security, AWS cloud infrastructure, database technologies, and software engineering, combined with practical experience using AI-assisted engineering tools.
This is a hands-on engineering role for someone who understands how applications, databases, infrastructure, identity, and networks work together. You will design secure solutions, build reliable automation, troubleshoot across technology layers, and use AI to accelerate delivery while maintaining ownership of quality and outcomes.
We value engineering fundamentals, sound judgment, and the ability to learn over expertise in every individual product. Database understanding is important, but this is not exclusively a database administration role.
What Makes This Role Different
- You think across systems, not just within a single technology.
- You understand connectivity, security, application behavior, and data dependencies.
- You build maintainable engineering solutions, not just one-time scripts.
- You use AI effectively because you can evaluate, test, and explain its output.
- You own solutions from design through deployment and ongoing support.
Key Responsibilities
Cloud & Infrastructure Engineering
- Design, build, automate, and support infrastructure across AWS and hybrid environments.
- Configure and troubleshoot compute, storage, networking, identity, and application connectivity.
- Incorporate availability, resilience, performance, capacity, and cost considerations into designs.
- Support infrastructure modernization, migrations, upgrades, and cloud transitions.
Networking & Security
- Troubleshoot connectivity across applications, databases, servers, and cloud services.
- Apply networking fundamentals, including TCP/IP, DNS, routing, subnets, firewalls, load balancing, and private connectivity.
- Build solutions using least-privilege access, secure authentication, encryption, and appropriate secrets management.
- Integrate logging, auditability, vulnerability remediation, and enterprise security controls into engineering workflows.
Software Engineering & Automation
- Develop reusable automation, integrations, and operational tooling using appropriate programming and scripting languages.
- Apply software engineering practices, including modular design, source control, code reviews, testing, error handling, and documentation.
- Use Infrastructure as Code and configuration management to deliver repeatable, controlled changes.
- Integrate infrastructure workflows with APIs, CI/CD pipelines, and enterprise platforms.
- Reduce manual effort and operational complexity through standardization and automation.
Database & Application Integration
- Understand relational database concepts, SQL, authentication, permissions, transactions, and application connection patterns.
- Support database infrastructure with consideration for storage, connectivity, backup and recovery, availability, and performance.
- Collaborate with database specialists and application teams to troubleshoot issues across infrastructure and database boundaries.
- Build automation that interacts safely with databases and respects data protection and access requirements.
AI-Assisted Engineering
- Use approved AI tools to accelerate coding, automation, troubleshooting, analysis, testing, and documentation.
- Provide relevant context and clear instructions to obtain useful AI-generated results.
- Review and validate generated code, configurations, and recommendations before use.
- Recognize incorrect assumptions, insecure patterns, and incomplete solutions.
- Protect sensitive information and follow enterprise requirements for AI use.
- Explain how solutions work, what AI contributed, and how correctness was verified.
Operational Ownership & Collaboration
- Lead troubleshooting and root-cause analysis for complex production issues.
- Improve monitoring, alerting, runbooks, and operational readiness.
- Collaborate with infrastructure, networking, security, database, and application engineering teams.
- Communicate technical decisions, dependencies, risks, and tradeoffs clearly.
- Take ownership of reliability, maintainability, and supportability after deployment.
Required Skills & Experience
- 6–9 years of relevant infrastructure, cloud, systems, platform, or software engineering experience.
- Strong networking fundamentals and hands-on experience diagnosing connectivity issues.
- Working knowledge of security principles, including identity, authentication, authorization, encryption, and least privilege.
- Hands-on AWS experience, including compute, storage, networking, IAM, and monitoring.
- Understanding of relational databases and how applications connect to, authenticate with, and use them.
- Strong programming or scripting ability in one or more languages, such as Python, PowerShell, Go, or TypeScript.
- Experience with Git, code reviews, testing, APIs, and CI/CD practices.
- Experience with Infrastructure as Code and configuration management tools, such as Terraform and Ansible.
- Practical experience using AI-assisted engineering tools, with the ability to independently validate results.
- Experience supporting Windows and/or Linux environments.
- Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications
- SQL Server, PostgreSQL, or other enterprise relational database experience.
- Windows Server, Active Directory, Kerberos, and enterprise authentication experience.
- Familiarity with high availability, disaster recovery, and database migrations.
- Experience with observability, backup, and security monitoring tools.
- Experience building AI-enabled workflows or API-based integrations.
- Familiarity with containers and event-driven architectures.
- AWS certifications or equivalent demonstrated hands-on expertise.
- Experience working in regulated enterprise environments.
What We Offer
- Collaborative, engineering-driven culture.
- Competitive compensation and comprehensive benefits.
- Opportunities to build reusable solutions with meaningful operational impact.
- Continuous learning across cloud, security, automation, databases, and AI.
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:
$116,800 - $175,200
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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- Technology & Software18
- Investment & Asset Management3
- Education2
- Banking & Financial Services2
- Retail1
Senior Level Database Coordinator Jobs: Frequently Asked Questions
How do I get a senior level database coordinator job?
Employers hiring at the senior level look for candidates who have owned database systems end to end, not just maintained them. Demonstrable experience leading migrations, designing data governance frameworks, or mentoring junior staff gives a strong edge. Tailor your resume to highlight outcomes you drove, the scale of the systems you managed, and any cross-team initiatives you led rather than listing routine maintenance tasks.
Which companies hire senior level database coordinators?
Companies hiring senior level database coordinators right now include Conduent, Databricks, and SMX Services & Consulting, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from large enterprises, healthcare networks, financial institutions, and government contractors that run complex, high-volume data environments requiring experienced oversight.
Are there remote senior level database coordinator jobs?
Yes, though availability varies by employer and industry. About 57% of senior level database coordinator openings are remote or hybrid as of November 2026, reflecting broad employer comfort with experienced data professionals working off-site. Fully remote roles are more common at technology companies and consulting firms, while healthcare and government roles more often require on-site presence.
What makes a database coordinator role senior level?
A senior level database coordinator role goes beyond day-to-day data entry and routine maintenance. It involves owning the design and integrity of database systems, setting standards others follow, leading complex projects like system migrations or platform consolidations, and mentoring junior coordinators. Senior roles carry decision-making authority and are accountable for how data quality and architecture affect broader organizational outcomes.
Which industries hire the most senior level database coordinators?
Senior level database coordinator roles concentrate in Technology & Software, Investment & Asset Management, and Education, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they manage large, compliance-sensitive, or operationally critical datasets that require experienced professionals to oversee system integrity, govern data standards, and lead ongoing database improvement initiatives.