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Remote Caliber Auto Transfer Jobs in Connecticut

Remote Caliber Auto Transfer information

What is the difference between Remote Caliber Auto Transfer vs Remote Caliber Auto Technician?

AspectRemote Caliber Auto TransferRemote Caliber Auto Technician
CertificationsTypically requires basic automotive knowledge, transfer-specific trainingRequires ASE certifications or equivalent
Work EnvironmentRemote coordination, logistics, and transfer managementHands-on vehicle repair and diagnostics
Industry UsageLogistics and transfer services within automotive industryVehicle repair and maintenance services

Remote Caliber Auto Transfer focuses on managing vehicle transfers remotely, emphasizing logistics and coordination. In contrast, Remote Caliber Auto Technician involves direct vehicle repairs and diagnostics. Both roles require automotive knowledge but differ in work environment and responsibilities.

What are popular job titles related to Remote Caliber Auto Transfer jobs in Connecticut?

For Remote Caliber Auto Transfer jobs in Connecticut, the most frequently searched job titles are:

What cities in Connecticut are hiring for Remote Caliber Auto Transfer jobs?

Cities in Connecticut with the most Remote Caliber Auto Transfer job openings:

Associate Data and AI Engineer

Hartford, CT • On-site, Remote


The Hartford Financial Services Group, Inc.
Finance and Insurance • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

56th of 312 rated insurance

Good employer

Recommended by students

Paid breaks


$74K - $111K/yr

Full-time

Posted 6 days ago


Job description

Assoc Data Engineer - GE08BEData Engineer - GE08AE

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.

A new role can expand your knowledge and your network and help you learn more about our business. The Claims Data Science team is committed to exploring new ways to use data and analytics to solve business problems within the Workers Comp, Employee Benefits, Auto, Property and General Liability claims domains. The team utilizes broad sources of data, both internal and external, to prevent fraud, enhance claim outcomes, and improve customer experience.

We are passionate about technology and building well architected AI solutions that drive business value for our customers. As an Associate Data and AI Engineer, you will be a key contributor by partnering closely with other experts to design, develop, and implement AI assets for a wide range of new initiatives.

Key Responsibilities

The Associate Data and AI Engineer is responsible for Implementing data pipelines that bring together structured, semi-structured and unstructured data to support Predictive, AI and Agentic solutions. Responsibilities can include, but are not limited to the following:

  • Build and maintain scalable and robust ML and AI-driven systemsusing technologies such as Snowflake, REST API's, AWS or GCP cloud infrastructure.

  • Collaborate with external partners such as Enterprise Data, IT, Cloud Enablement Team, and Enterprise Architecture teams.

  • Translate business requests into technical requirements for small and medium complexity engineering tasks.

  • Validate internal and external data sources for availability and quality when asked. Work with SMEs to describe and understand data lineage and suitability for a use case

  • Develop code that enables real-time modeling solutions to be ingested into front-end systems, and batch solutions which will be implemented through modern scheduling and orchestration tooling.

  • Produce code artifacts and documentation using GitHub for reproducible results and hand-off to other teams if needed.

  • Ensure the reliability, availability, and scalability of AI solutions and systemsthrough effective monitoring, alerting, and incident management.

  • Collaborate closely with AI Ops and infrastructure teamsto ensure seamless deployment, operation, and maintenance of AI / ML systems.

Required Skills & Experience

  • 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, and 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 a variety of structures including 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 (Autosys, Cron, Airflow, etc.)required

  • Exposure to GCP or AWS Services (i.e. S3, Batch, Lambda, Google Cloud Functions, etc.) a plus

  • Exposure to Cloud Formation, Terraform, TeamCity, Jenkins, Octopus and other IAC tools and platform a plus

  • Exposure to Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift, BigQuery) a plus

  • Able to communicate effectivelywith both technical and non-technical teams

  • Able to translate complex technical topics into business solutions and strategies

This role can have a Hybrid or Remote work arrangement. 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

Candidate 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.

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:

$74,000 - $111,000

The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience.

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


Hartford logo

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

Social media


What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

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