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The Hartford
The Hartford
H1B vīzas sponsorsApdrošināšanaB2CFinanses
The Hartford ir apdrošināšanas un finanšu pakalpojumu uzņēmums, kas apkalpo privātpersonas, ģimenes, kā arī mazos un vidējos uzņēmumus. Uzņēmums, kas dibināts 1810. gadā, piedāvā auto, mājokļa un uzņēmējdarbības apdrošināšanu, kā arī darbinieku labumus un citus apdrošināšanas risinājumus. Uzņēmums ir pazīstams arī ar AARP atbalstītajām auto un mājokļa apdrošināšanas programmām, kas programmu dalībniekiem nodrošina piekļuvi ekskluzīvām priekšrocībām un atlaidēm.
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Vakances uzņēmumā

Google Cloud Data Engineer — The Hartford, Hybrid

Build Google Cloud data pipelines and metadata governance automation at The Hartford. Develop secure, AI-enabled enterprise data solutions across four U.S. offices.

USAmerikas Savienotās ValstisCTKonektikutaILIlinoisaNCZiemeļkarolīnaOHOhaio
100 960 $ – 151 440 $ / gads
HibrīdiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris
BigQueryETLGoogle Cloud PlatformInformaticaMākonisPythonSQLTerraform

Apraksts

  • Design enterprise data engineering solutions for metadata-driven automation.
  • Build production data pipelines and orchestration workflows on Google Cloud Platform.
  • Connect enterprise data platforms with governance systems for metadata discovery, lineage, and automation.
  • Deploy secure, reliable, observable, and cost-efficient cloud data solutions.
  • Integrate metadata capture, classification, policy enforcement, and lineage into engineering workflows.
  • Contribute to intelligent automation using governed metadata and business context.
  • Work with stakeholders to deliver reusable engineering solutions aligned with enterprise architecture standards.
  • Improve operations through automation, monitoring, testing, CI/CD, and platform engineering practices.
  • Collaborate with Data Governance, Product, Platform Engineering, and business teams.
  • Use Google Cloud services including BigQuery, Cloud Storage, Composer, Dataplex, and APIs.
  • Apply AI-assisted development tools such as GitHub Copilot and other engineering accelerators.
  • Create reusable frameworks, APIs, and platform services that support enterprise adoption and standardization.

Prasības

  • Hands-on experience with Google Cloud Platform, including BigQuery, Cloud Storage, IAM, and orchestration tools.
  • 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.
  • Knowledge of software engineering practices, including source control, testing, CI/CD, and modular application design.
  • Experience designing and implementing secure, production-grade cloud solutions.
  • Familiarity with AI-assisted development tools and skill in evaluating and applying AI-generated solutions.
  • Strong 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; preferred.
  • 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 tools.
  • 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.
  • Must be authorized to work in the United States without company sponsorship.
  • The company does not support the STEM OPT I-983 Training Plan endorsement for this position.

Priekšrocības

  • Short-term or annual bonuses
  • Long-term incentives
  • On-the-spot recognition
  • Career growth
  • Continuous learning
  • A supportive, forward-thinking work environment

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109 300 $ – 180 200 $ / gads
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51 – 200 Darbinieki
Kvalificēta darbinieka vīzas sponsorsKonsultācijasLoģistikaPārtika un dzērieni
USAmerikas Savienotās ValstisILIlinoisa
125 000 $ / gads
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ApacheAWSAzureETLGoogle Cloud PlatformKafkaMākonisPythonSparkSQLTerraformUnity

Build reliable Databricks pipelines and data products for Retail Insight’s US retail clients. Help deliver scalable analytics infrastructure across cloud data platforms.

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