Data Engineer - Google Cloud Platform

The Hartford; Charlotte (NC); Híbrido; USD 101.000 - 151.000; Jornada completa

Descripción de la vacante

The Hartford is seeking a Data Engineer to design enterprise-scale data pipelines on Google Cloud, advancing metadata-driven governance and intelligent automation across the enterprise.

You will work hands-on with modern cloud technologies and AI-assisted tools, collaborating with Data Governance, Product, and Platform Engineering teams to deliver scalable data solutions and robust CI/CD practices.

Formación

• Strong hands-on experience with GCP, including BigQuery, Cloud Storage, IAM, and orchestration technologies.
• Proficiency in Python and SQL for data engineering, automation, API development, and scalable data processing.
• Experience building and supporting enterprise data pipelines, ETL/ELT processes, or data services.
• Understanding of software engineering best practices including source control, testing, CI/CD, and modular application design.
• Experience designing and implementing secure, production-grade cloud solutions.
• Familiarity with AI-assisted software development tools and the ability to effectively evaluate and apply AI-generated solutions.
• Excellent problem-solving, collaboration, and communication skills.

Responsabilidades

• Build scalable, production-ready data pipelines and orchestration workflows on GCP.
• Develop integrations between enterprise data platforms and governance systems to enable metadata discovery, lineage, and automation.
• Design and deploy secure, reliable, observable, and cost-efficient cloud-based data solutions.
• Embed governance controls directly into engineering workflows through metadata capture, classification, policy enforcement, and lineage propagation.
• Contribute to the development of intelligent automation solutions that leverage governed metadata and business context.
• Partner with stakeholders to deliver reusable, high-quality engineering solutions aligned with enterprise architecture standards.
• Improve operational excellence through automation, monitoring, testing, CI/CD, and platform engineering best practices.

Conocimientos

GCP experience

Python

SQL

Data pipelines

CI/CD

AI-assisted development

Problem solving

Collaboration

Communication

Educación

Bachelor's degree in CS/Engineering/IT/Data Analytics

Herramientas

Google Cloud Platform

BigQuery

Cloud Storage

IAM

Dataplex

Knowledge Catalog

Collibra

Terraform

Descripción del empleo

Data 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. Join The Hartford's Enterprise Data Services organization and help build the next generation of metadata-driven and agentic data solutions.

As a Data Engineer, you'll work with cutting-edge cloud technologies, modern engineering practices, and AI-assisted development tools to deliver innovative capabilities that advance data governance, automation, and intelligent workflows across the enterprise. You'll be part of a highly collaborative team focused on transforming how data is discovered, governed, managed, and leveraged to drive business value.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

What’s in it for you? Design and build enterprise-scale data engineering solutions that power metadata-driven and intelligent automation capabilities. Work hands‑on with modern cloud technologies including Google Cloud Platform (BigQuery, GCS, Composer, Dataplex, APIs, and more). Help shape the future of Data Governance through engineering‑led automation, lineage services, metadata synchronization, and intelligent workflows. Collaborate with Data Governance, Product, Platform Engineering, and business partners to deliver innovative enterprise capabilities. Leverage AI‑assisted development tools such as GitHub Copilot and other modern engineering accelerators to increase productivity and innovation. Build reusable frameworks, APIs, and platform services that accelerate adoption and standardization across the enterprise. Drive engineering excellence through CI/CD, automation, testing, observability, DataOps, and DevSecOps practices. Influence and support the development of agentic and AI‑enabled solutions that improve business processes and governance outcomes. Expand your expertise in cloud data architecture, security, governance‑by‑design, and scalable data engineering patterns. Work in a supportive, forward‑thinking environment that values innovation, continuous learning, collaboration, and career growth.

What you’ll do

Build scalable, production-ready data pipelines and orchestration workflows on GCP. Develop integrations between enterprise data platforms and governance systems to enable metadata discovery, lineage, and automation. Design and deploy secure, reliable, observable, and cost‑efficient cloud‑based data solutions. Embed governance controls directly into engineering workflows through metadata capture, classification, policy enforcement, and lineage propagation. Contribute to the development of intelligent automation solutions that leverage governed metadata and business context. Partner with stakeholders to deliver reusable, high‑quality engineering solutions aligned with enterprise architecture standards. Improve operational excellence through automation, monitoring, testing, CI/CD, and platform engineering best practices.

Required Qualifications

• Strong hands‑on experience with Google Cloud Platform, including BigQuery, Cloud Storage, IAM, and orchestration technologies.
• Proficiency in Python and SQL for data engineering, automation, API development, and scalable data processing.
• Experience building and supporting enterprise data pipelines, ETL/ELT processes, or data services.
• Understanding of software engineering best practices including source control, testing, CI/CD, and modular application design.
• Experience designing and implementing secure, production‑grade cloud solutions.
• Familiarity with AI‑assisted software development tools and the ability to effectively evaluate and apply AI‑generated solutions.
• Excellent problem‑solving, collaboration, and communication skills.

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a related field, or equivalent professional experience.
• Experience with AI, agentic solutions, intelligent automation, or machine learning‑enabled workflows.
• Familiarity with metadata‑driven architectures and data catalog technologies.
• Experience with data governance platforms such as Informatica IDMC/CDGC, Dataplex/Knowledge Catalog, Collibra, or similar solutions.
• Knowledge of data lineage, data quality, metadata management, and business glossary concepts.
• Experience with API integration, event‑driven architectures, and API security practices.
• Exposure to Snowflake, multi‑cloud architectures, Terraform, or Infrastructure‑as‑Code practices.

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: $100,960 - $151,440

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

Every day, a day to do right. Showing up for people isn’t just what we do. It’s who we are – and have been for more than 200 years. We’re devoted to finding innovative ways to serve our customers, communities and employees—continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever‑changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it’s these values that drive all of us to do more and to do better every day.