Associate Data and AI Engineer

The Hartford

Associate Data and AI Engineer building data pipelines and AI/ML systems for The Hartford’s insurance claims operations. Supporting fraud prevention, claim outcomes, and customer experience.

Posted 8/20/2026full-timeHartford • Connecticut • 🇺🇸 United StatesJuniorMid-Level💰 $74,000 - $111,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing scalable ML and AI-driven systems using Python, SQL, and cloud platforms like AWS and GCP. Proficient in data pipeline implementation, data validation, and collaboration with cross-functional teams to translate business needs into technical solutions.

Highest-signal resume keywords

Python DevelopmentSQL ProficiencyData Pipeline ImplementationCloud Infrastructure (AWS, GCP)Agile Methodology

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data IngestionETL ConceptsMetadata ManagementReal-Time Modeling SolutionsBatch Solutions DevelopmentMonitoring and Incident ManagementAutomation Tools (Autosys, Cron, Airflow)AI Code AssistantsData ValidationGitHub Familiarity

Soft Skills

Effective CommunicationTechnical Translation

Tools & Technologies

SnowflakeREST APIsCloudFormationTerraformTeamCityJenkinsOctopusHadoopSparkData Warehouses

Industry Keywords

Predictive SolutionsAI SolutionsAgentic SolutionsData LineageCloud Data Sources

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSBigQueryCloudETLGoogle Cloud PlatformHadoopJenkinsPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Implement data pipelines integrating structured, semi-structured, and unstructured data for Predictive, AI, and Agentic solutions
Build and maintain scalable, robust ML- and AI-driven systems using Snowflake, REST APIs, AWS, or GCP infrastructure
Collaborate with Enterprise Data, IT, Cloud Enablement, and Enterprise Architecture teams and external partners
Translate business requests into technical requirements for small and medium-complexity engineering tasks
Validate internal and external data sources for availability and quality
Work with subject matter experts to describe and understand data lineage and suitability for use cases
Develop code enabling real-time modeling solutions to be ingested into front-end systems
Develop batch solutions implemented through modern scheduling and orchestration tools
Produce reproducible code artifacts and documentation using GitHub for handoff to other teams
Ensure reliability, availability, and scalability through monitoring, alerting, and incident management
Collaborate with AI Ops and infrastructure teams on deployment, operation, and maintenance of AI/ML systems

Requirements

What you’ll need

Must be authorized to work in the U.S. now and in the future
Bachelor’s degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline
Experience developing solutions using Python and SQL
Experience using AI code assistants as part of daily workflow
Familiarity working with GitHub
Familiarity working in an Agile team, creating user stories, and planning/managing work over extended periods of time
Exposure to data ingestion from relational databases, Hadoop/Spark, cloud data sources, XML, JSON, CSV, or Parquet
Exposure to ETL concepts, metadata management, and data validation
Exposure to automation tools such as Autosys, Cron, or Airflow
Exposure to GCP or AWS services is a plus
Exposure to CloudFormation, Terraform, TeamCity, Jenkins, Octopus, and other IaC tools and platforms is a plus
Exposure to cloud data warehouses, automation, and data pipelines such as Snowflake, Redshift, or BigQuery is a plus
Able to communicate effectively with technical and non-technical teams
Able to translate complex technical topics into business solutions and strategies
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

Benefits

Comp & perks

Short-term or annual bonuses
Long-term incentives
On-the-spot recognition
Hybrid or 100% remote work arrangement