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Junior Data Engineer Remote Jobs in Connecticut (NOW HIRING)

The Hartford

Senior Staff AI Data Engineer

Hartford, CT · On-site +1

$106K - $145K/yr

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations ... Mentor junior engineers and contribute to communities of practice, promoting best practices ...

Aequor

$115K - $138K/yr

100% Remote Please source at open market rate This is a job template for special exceptions. ABOUT ... Strong understanding of prompt engineering, AI solution design, workflow automation, data ...

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Junior Data Engineer Remote information

What are the key skills and qualifications needed to thrive as a junior data engineer, and why are they important?

To thrive as a Junior Data Engineer (Remote), you need a solid grasp of SQL, Python or other programming languages, and a relevant degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms like AWS or Azure, and ETL frameworks is typically expected. Strong problem-solving skills, attention to detail, and effective remote communication help you excel in collaborative, distributed teams. These competencies are crucial for building reliable data pipelines and ensuring seamless data flow in a remote work environment.

How does a junior data engineer typically collaborate with more experienced team members in a remote setting?

As a Junior Data Engineer working remotely, you'll often collaborate with senior engineers and data scientists through virtual meetings, code reviews, and shared documentation platforms. You'll likely participate in stand-up meetings, pair programming sessions, and receive feedback on your work via online tools like GitHub or Jira. This collaborative environment helps you learn best practices, troubleshoot issues, and contribute to projects, all while building your skills under the guidance of more experienced team members.

What is a junior data engineer?

Junior Data Engineers (Remote) are entry-level professionals who assist in designing, building, and maintaining data pipelines and databases, typically while working from a remote location. They handle tasks like data cleaning, processing, and integration, usually under the supervision of senior data engineers or data architects. Their work supports analytics, reporting, and data science efforts within an organization, and they often use tools such as SQL, Python, and cloud platforms. Remote roles require strong communication and collaboration skills, as well as the ability to work independently.
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Junior Data Engineer Remote jobs near you

Senior Staff AI Data Engineer

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

$106K - $145K/yr

Full-time

Re-posted 27 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 304 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 can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise.
Primary Job Responsibilities
  • Lead the implementation of AI data pipelines integrating structured, semi-structured, and unstructured data to support AI and agentic solutions, including preprocessing techniques such as extraction, chunking, embedding, and grounding (e.g., RAG, retrieval frameworks)
  • Develop AI-driven data systems that enhance data capabilities while ensuring adherence to industry best practices
  • Implement and optimize Retrieval-Augmented Generation (RAG) architectures and integrate them with enterprise data platforms
  • Design, build, and optimize scalable batch and streaming data pipelines with a focus on performance, resiliency, and operational efficiency
  • Develop and maintain real-time data streaming pipelines using technologies such as Snowpipe
  • Develop data domains and data products to support reporting, analytics, AI/ML, and data science use cases
  • Ensure the reliability, availability, and scalability of data pipelines through monitoring, alerting, and incident management
  • Implement reliability engineering best practices, including fault tolerance, redundancy, and disaster recovery
  • Drive engineering discipline across data platforms, including observability, data quality, lineage, and governance
  • Collaborate with DevOps and infrastructure teams to enable seamless deployment and operation of data systems
  • Partner with cross-functional teams to integrate data and AI solutions into business processes and enterprise systems
  • Provide architectural leadership in partnership with Data Architects, including defining technical standards and influencing enterprise-wide practices
  • Develop and integrate graph database solutions to support complex data relationships within AI systems
  • Apply GenAI approaches to insurance-specific data use cases and challenges
  • Lead the development of AI-ready data foundations that support scalable, production-grade solutions
  • Ensure data platforms remain resilient, governed, and cost-efficient, aligned with enterprise cloud and data strategies
  • Mentor junior engineers and contribute to communities of practice, promoting best practices, reusable patterns, and engineering standards
  • Stay current with advancements in GenAI and apply relevant technologies and methodologies to platform evolution

Skills
  • Strong technical expertise in AI-driven data solutions leveraging modern cloud platforms
  • Deep expertise in core data engineering, including advanced SQL, data modeling, and query performance tuning
  • Strong experience in ETL/ELT architecture, orchestration frameworks, and pipeline optimization
  • Experience working across teams with strong communication and stakeholder management skills
  • Proven ability to mentor and develop AI and data engineering talent
  • Knowledge of emerging AI and data engineering design patterns
  • Strong planning, organization, and execution capabilities
  • Ability to lead in a lean, agile, and fast-paced environment, leveraging Scaled Agile practices
  • Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions
  • Demonstrated leadership capability to own architecture decisions and drive cross-team alignment
  • Effective collaboration, decision-making, and relationship-building skills
  • Strong interpersonal skills with the ability to provide thought leadership in a dynamic environment

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 degree in Computer Science, Artificial Intelligence, or a related field
  • 8+ years of data engineering experience with deep expertise in SQL, data modeling, and large-scale data processing systems
  • Proven experience designing and optimizing ETL/ELT pipelines and orchestration frameworks in enterprise environments
  • Experience supporting Generative AI data engineering use cases
  • Hands-on experience implementing production-ready, enterprise-grade GenAI data solutions
  • Experience implementing RAG pipelines, including retrieval, chunking, embedding, and grounding techniques
  • Experience operationalizing GenAI pipelines in production environments
  • Hands-on experience with cloud ecosystems (AWS, GCP, Azure, Snowflake) and Python-based data engineering stacks
  • Proven ability to deliver resilient, governed, and cost-efficient data platforms at scale
  • Experience with vector databases and graph databases, including design and optimization
  • Experience working with unstructured data for GenAI applications
  • Experience implementing data governance practices, including data quality, lineage, and data cataloging at scale
  • Proficiency in building AI data pipelines that integrate structured and unstructured data with preprocessing techniques
  • Strong programming skills in Python
  • Strong communication skills and ability to explain technical concepts to a broad set of stakeholders

Preferred Qualifications
  • Experience designing multi-cloud or hybrid AI data solutions
  • AI-related certifications
  • Experience in the P&C insurance industry
  • Contributions to open-source AI projects or research in 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

What The Hartford employees say

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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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