{"id":1353889,"url":"https://alion.io/job/the-hartford-gcp-data-engineer","title":"GCP Data Engineer","company":{"id":1760358,"name":"The Hartford","domain":"thehartford.com","url":"https://alion.io/company/thehartford-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":28,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Charlotte, United States","Columbus, United States","Hartford, United States","Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100960,"max":151440,"currency":"USD","period":"year","gross":null,"usd_annual":151440},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Collibra","optional":true},{"name":"Informatica","optional":true},{"name":"Machine Learning","optional":true},{"name":"Snowflake","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-04T00:00:00Z","employer_posted_date":"2026-08-04","last_verified_at":"2026-10-14T23:33:41Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"Data Engineer - GE08AEWe’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.\nJoin 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.\nYou'll be part of a highly collaborative team focused on transforming how data is discovered, governed, managed, and leveraged to drive business value. This is an opportunity to influence the future of enterprise data platforms while expanding your expertise in cloud engineering, metadata management, governance, and AI-enabled development.\nThis 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).\nWhat's in it for you?\nDesign and build enterprise-scale data engineering solutions that power metadata-driven and intelligent automation capabilities.\nWork hands-on with modern cloud technologies including Google Cloud Platform (BigQuery, GCS, Composer, Dataplex, APIs, and more).\nHelp shape the future of Data Governance through engineering-led automation, lineage services, metadata synchronization, and intelligent workflows.\nCollaborate with Data Governance, Product, Platform Engineering, and business partners to deliver innovative enterprise capabilities.\nLeverage AI-assisted development tools such as GitHub Copilot and other modern engineering accelerators to increase productivity and innovation.\nBuild reusable frameworks, APIs, and platform services that accelerate adoption and standardization across the enterprise.\nDrive engineering excellence through CI/CD, automation, testing, observability, DataOps, and DevSecOps practices.\nInfluence and support the development of agentic and AI-enabled solutions that improve business processes and governance outcomes.\nExpand your expertise in cloud data architecture, security, governance-by-design, and scalable data engineering patterns.\nWork in a supportive, forward-thinking environment that values innovation, continuous learning, collaboration, and career growth.\nWhat you'll do\nBuild scalable, production-ready data pipelines and orchestration workflows on GCP.\nDevelop integrations between enterprise data platforms and governance systems to enable metadata discovery, lineage, and automation.\nDesign and deploy secure, reliable, observable, and cost-efficient cloud-based data solutions.\nEmbed governance controls directly into engineering workflows through metadata capture, classification, policy enforcement, and lineage propagation.\nContribute to the development of intelligent automation solutions that leverage governed metadata and business context.\nPartner with stakeholders to deliver reusable, high-quality engineering solutions aligned with enterprise architecture standards.\nImprove operational excellence through automation, monitoring, testing, CI/CD, and platform engineering best practices.\nRequired Qualifications:\nStrong hands-on experience with Google Cloud Platform, including BigQuery, Cloud Storage, IAM, and orchestration technologies.\nProficiency in Python and SQL for data engineering, automation, API development, and scalable data processing.\nExperience building and supporting enterprise data pipelines, ETL/ELT processes, or data services.\nUnderstanding of software engineering best practices including source control, testing, CI/CD, and modular application design.\nExperience designing and implementing secure, production-grade cloud solutions.\nFamiliarity with AI-assisted software development tools and the ability to effectively evaluate and apply AI-generated solutions.\nExcellent problem-solving, collaboration, and communication skills.\nPreferred Qualifications:\nBachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a related field, or equivalent professional experience.\nExperience with AI, agentic solutions, intelligent automation, or machine learning-enabled workflows.\nFamiliarity with metadata-driven architectures and data catalog technologies.\nExperience with data governance platforms such as Informatica IDMC/CDGC, Dataplex/Knowledge Catalog, Collibra, or similar solutions.\nKnowledge of data lineage, data quality, metadata management, and business glossary concepts.\nExperience with API integration, event-driven architectures, and API security practices.\nExposure to Snowflake, multi-cloud architectures, Terraform, or Infrastructure-as-Code practices.\nCandidate 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.\nCompensation\nThe 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:\n$100,960 - $151,440Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/SexualOrientation/Gender Identity or Expression/Religion/Age\nAbout Us | Our Culture | What It’s Like to Work Here | Perks & Benefits","description_format":"text","description_chars":5901,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual bonuses","Continuous learning","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Property & Casualty Insurance","Pet Food, Supplies & Care"],"lifecycle":[{"event":"open","at":"2026-09-27T21:19:15Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.261,"p_room":0.28,"age_days":71,"expected_fill_days":27,"reasons":["conf:18","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":151440,"is_top_pay":false},"html_url":"https://alion.io/job/the-hartford-gcp-data-engineer","json_url":"https://alion.io/job/the-hartford-gcp-data-engineer.json","meta":{"generated_at":"2026-10-15T03:20:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4779,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1760358},"rest":"https://alion.io/mcp/rest/get_company?id=1760358"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthe-hartford-gcp-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fthe-hartford-gcp-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fthe-hartford-gcp-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/the-hartford-gcp-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthe-hartford-gcp-data-engineer"}]}