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Junior Database Developer Jobs in Connecticut (NOW HIRING)

The Hartford

Senior Staff AI Data Engineer - Hybrid

Hartford, CT · Hybrid

$106.90K - $145.30K/yr

Mentor junior team members and engage in communities of practice to deliver high-quality data and ... Develop graph database solution for complex data relationships supporting AI systems. * Apply GenAI ...

The Hartford

Senior Staff AI Data Engineer - Hybrid

Danbury, CT · Hybrid

$108.40K - $147.30K/yr

Mentor junior team members and engage in communities of practice to deliver high-quality data and ... Develop graph database solution for complex data relationships supporting AI systems. * Apply GenAI ...

TekWissen

Java Developer

Stamford, CT · On-site

$54.50 - $70.25/hr

... software modules using Java/J2EE and Database related technologies. Technical design and ... Mentor junior engineers and guide them with their assignments. Qualifications Additional ...

TekWissen

Java Developer for Full Time

Stamford, CT · On-site

$54.50 - $70.25/hr

... software modules using Java/J2EE and Database related technologies. Technical design and ... Mentor junior engineers and guide them with their assignments. Qualifications Additional ...

Yale New Haven Health

BI Developer III

New Haven, CT · Hybrid

The Business Intelligence Developer III has a strong focus on overseeing junior analyst work and ... Demonstrates mastery of database languages and technology. Must have the ability to deliver on ...

Yale New Haven Health

BI Developer III

New Haven, CT · Hybrid

The Business Intelligence Developer III has a strong focus on overseeing junior analyst work and ... Demonstrates mastery of database languages and technology. Must have the ability to deliver on ...

Yale New Haven Health

BI Developer III

New Haven, CT · On-site

The Business Intelligence Developer III has a strong focus on overseeing junior analyst work and ... Demonstrates mastery of database languages and technology. Must have the ability to deliver on ...

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Junior Database Developer information

See Connecticut salary details

$28.1K

$63.4K

$112.7K

How much do junior database developer jobs pay per year?

As of May 30, 2026, the average yearly pay for junior database developer in Connecticut is $63,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $71,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Database Developer, and why are they important?

To thrive as a Junior Database Developer, you need a solid understanding of database concepts, SQL programming, and a relevant degree in computer science or a related field. Familiarity with database management systems like MySQL, SQL Server, or Oracle, as well as version control tools such as Git, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you troubleshoot issues and collaborate with team members. These skills and qualifications are crucial for building reliable databases, ensuring data integrity, and supporting organizational data needs.

What are the typical challenges a Junior Database Developer might face when starting out in the role?

As a Junior Database Developer, you may find it challenging to work with unfamiliar database management systems, optimize queries for performance, and understand complex data models. Adapting to a team environment, where you collaborate closely with senior developers, data analysts, and software engineers, is also common. Additionally, learning best practices for data security and consistency can be demanding, but overcoming these challenges provides valuable experience and growth opportunities.

What are Junior Database Developers?

Junior Database Developers are entry-level professionals who assist in designing, developing, and maintaining databases for organizations. They work under the supervision of senior database developers or administrators, helping with tasks such as writing SQL queries, troubleshooting data issues, and supporting database updates. Their role is crucial for ensuring data integrity, optimizing performance, and supporting the data needs of various departments. Junior Database Developers often collaborate with software developers and IT teams to implement database solutions. This position is typically suited for recent graduates or individuals with some programming and database experience.

What is the difference between Junior Database Developer vs Database Administrator?

AspectJunior Database DeveloperDatabase Administrator
Required CredentialsTypically a bachelor's degree in computer science or related field; some certifications like Microsoft SQL Server or Oracle are commonSimilar educational background; certifications like Oracle DBA, Microsoft Certified: Azure Database Administrator are often preferred
Work EnvironmentMostly involved in coding, designing, and developing databases; works closely with developers and analystsFocuses on maintaining, backing up, and securing databases; interacts with IT teams and end-users
Employer & Industry UsageUsed in software development companies, tech firms, and organizations with database needsCommon in large enterprises, financial institutions, and healthcare organizations requiring database management

While both roles require knowledge of database systems and similar certifications, Junior Database Developers primarily focus on creating and optimizing databases, whereas Database Administrators handle ongoing maintenance, security, and performance management.

What are the most commonly searched types of Database Developer jobs in Connecticut? The most popular types of Database Developer jobs in Connecticut are:
Junior Database Developer jobs near you
Infographic showing various Junior Database Developer job openings in Connecticut as of May 2026, with employment types broken down into 2% Internship, 53% Full Time, 42% Part Time, and 3% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $63,442 per year, or $30.5 per hour.
Senior Staff AI Data Engineer - Hybrid

Senior Staff AI Data Engineer - Hybrid

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

$106.90K - $145.30K/yr

Full-time

Posted 15 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

53rd of 259 rated insurance

Job description

Sr Staff Data Engineer - GE07DE
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.
Join our team as a Senior Staff AI Data Engineer and lead the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us! Apply now to be part of our innovative journey and make a significant impact!
This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Danbury, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).
Primary Job Responsibilities
  • AI Data Engineering lead responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready.
  • Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.
  • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.
  • Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions.
  • Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems.
  • Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as SnowPipe.
  • Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc
  • Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management.
  • Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies.
  • Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems.
  • Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns.
  • Develop graph database solution for complex data relationships supporting AI systems.
  • Apply GenAI solutions to insurance-specific data use cases and challenges.
  • Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.

Skills
  • Strong Technical Knowledge (AI solution leveraging Cloud and modern solutions)
  • Able to communicate effectively with both technical and non-technical teams and influence
  • Collaboration across teams, decision making, conflict resolution and relationship building skills.
  • Experience in mentoring and developing Junior AI or Data Engineers.
  • Knowledge of evolving industry design patterns for AI.
  • Strong planning, organization, and execution skills.
  • Ability to provide Thought Leadership to dynamic and collaborative teams, demonstrating excellent interpersonal skills and time management capabilities.
  • Ability to understand and align deliverables to the departmental and organization strategies and objectives.
  • Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working.
  • Leader and team player with a transformation mindset.
  • Ability to translate complex technical topics into business solutions and strategies, as well as turn business requirements into a technical solution.

Qualifications
  • Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
  • Bachelor's in Computer Science, Artificial Intelligence, or a related field.
  • 8+ years of data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Python/Spark, Datamesh or Data Fabric.
  • 1+ years of data engineering experience focused on supporting Generative AI technologies
  • Strong hands-on experience implementing production ready enterprise grade GenAI data solutions.
  • Experience with prompt engineering techniques for large language models.
  • Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.
  • Experience of vector databases and graph databases, including implementation and optimization.
  • Experience in processing and leveraging unstructured data for GenAI applications.
  • Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS Lambda, S3, EC2, Lang chain, Langgraph).
  • Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with building AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions.
  • Experience in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.).
  • Experience in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform.
  • Experience with cloud platforms (AWS or GCP or Azure)
  • Strong written and verbal communication skills and ability to explain technical concepts to various stakeholders.

Preferred Qualifications:
  • Experience in multi cloud hybrid AI solutions.
  • AI Certifications
  • Experience in P&C industry
  • Knowledge of natural language processing (NLP) and computer vision technologies.
  • Contributions to open-source AI projects or research publications in the field of Generative 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:
$135,040 - $202,560
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

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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