Education: Bachelor's degree or related field
- 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.
- 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.
- 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.
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
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This posting was published by The Hartford on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.