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The Hartford

Tech & Data Program Summer 2027 - Data Engineer Intern (Hartford)

The Hartford
Hartford, CTPosted about 2 months agoDiscoveredMatch locked
HybridData and Analytics

About the role

Student Intern - HHSIAN 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. Tech & Data Program Summer 2027 - Data Engineer Intern Program Overview At The Hartford, we foster an inclusive and collaborative environment where every voice is valued and every idea can make an impact. Our culture is built on integrity, innovation, and a customer-first mindset. We believe in empowering employees to grow through continuous learning, mentorship, meaningful work, and opportunities to contribute to solutions that support our customers and business. As a Data Engineer Intern , you will help build and support the data pipelines, platforms, and processes that enable analytics, reporting, automation, and AI-driven insights across the organization. This role is ideal for students who are interested in building the systems behind the data - transforming raw information into reliable, usable data assets that help teams make better decisions. Bring your curiosity, technical mindset, and willingness to learn. Your voice and perspective matter here. About the Experience The Hartford's Technology, Data, AI, and Operations organization offers an immersive summer internship program designed to help students explore career paths in technology, data engineering, cybersecurity, AI, analytics, data science, and technology operations within the insurance industry. As part of The Hartford's growing investment in AI and advanced analytics, interns will explore how emerging technologies - including generative AI, machine learning, and automation - are transforming business operations, decision-making, and customer experience. In this role, you will gain hands-on experience supporting data solutions that help power business insights, analytics products, and future AI capabilities. This role is a hybrid position in Hartford, CT. Candidates must be authorized to work in the US without company sponsorship now or in the future. What You'll Gain

• Hands-on experience designing, building, and supporting data pipelines and data workflows

  • Exposure to modern

data engineering practices

, including ETL/ELT, data transformation, data quality, and cloud-based data platforms

  • Opportunities to work with tools and technologies such as

Python, SQL, PL/SQL, Snowflake, GitHub, and cloud platforms

  • Exposure to how data engineering enables

analytics, reporting, automation, machine learning, and AI use cases

  • Mentorship, coaching, feedback, and self-directed learning opportunities
  • Networking, volunteerism, and employee engagement experiences with peers and leaders across the organization
  • A stronger understanding of how data supports decision-making within the insurance industry

Ways You'll Learn, Grow, and Contribute

Depending on your role and project assignments, your experience may include:

• Build and support data pipelines

that ingest, transform, and prepare data for business and analytical use

  • Work with structured and unstructured data to enable

analytics, reporting, and AI-driven solutions

  • Apply data engineering tools and techniques (e.g.,

Python, SQL, ETL processes, cloud technologies

) to develop reliable data assets

  • Ensure

data quality, consistency, and performance

through profiling, validation, and monitoring activities

  • Collaborate with cross-functional teams to deliver

scalable data solutions

that address business needs

  • Leverage

AI tools (e.g., Copilot)

to enhance productivity and support the development of data solutions that power advanced analytics and machine learning

Required Qualifications

  • Strong analytical, problem-solving, and critical thinking skills
  • Strong communication, collaboration, and interpersonal skills
  • Curiosity and willingness to explore new technologies and challenge assumptions
  • Demonstrated ability to analyze complex problems using structured thinking and logical reasoning
  • Commitment to ethical judgment, responsible data use, and understanding how technology decisions affect stakeholders and the business

• Programming & Querying

Python, SQL, PL/SQL •

Data Engineering

ETL/ELT, data pipelines, data transformation, data profiling, data quality, data modeling •

Data Platforms & Tools

Snowflake, GitHub, relational databases, data warehouse concepts •

Cloud Technologies

AWS, Azure, or Google Cloud •

Analytics & BI

Tableau, dashboards, reporting, data mining, or business intelligence tools •

AI & Emerging Technology

Familiarity with AI/ML concepts, generative AI tools, LLMs, NLP, or interest in building data foundations that support AI-driven solutions •

Agile Ways of Working

Exposure to Agile teams, sprint delivery, or collaborative product-based work. Our internship program is designed as a pipeline for future full-time opportunities. High-performing interns may be considered for full-time roles within The Hartford's Technology & Data organization. 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: Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

Not included in the source posting: about the role, benefits.

Skills

artificial-intelligencesqlmachine-learningagileetlpythongenerative-aisnowflakeawsazuregcpllm

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

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