{"id":1338121,"url":"https://alion.io/job/the-hartford-ind-staff-engineer-data","title":"IND Staff Engineer, Data","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":81,"open_postings":27,"ghost_share":0,"stale_share":0.778,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":72000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Hadoop","optional":false},{"name":"Snowflake","optional":false},{"name":"Talend","optional":false},{"name":"Amazon S3","optional":true},{"name":"ETL/ELT","optional":true},{"name":"FinOps","optional":true},{"name":"Informatica","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-06T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-31T21:23:17Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":55},"description":"IND Staff Engineer - GCC091We’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.\nAccountable for building small or medium scale pipeline and data products. Provides end-to-end solution delivery involving multiple platforms and technologies with small to medium complexity, leveraging ELT solutions to acquire, integrate, and operationalize data\nProvides input to influence solution design\nBuild and implement capabilities for continuous integration and continuous delivery aligned with Enterprise DevOps practices\nAccountable for data engineering practices (e.g. Source code management, branching, issue tracking, access, etc.) followed for the product\nProvide documentation and operating guidance for users of all levels. Document technical requirements and present technical concepts to audiences of varying size and level\nResearch, experiment, and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on premise hybrid hosting solutions, on a project level\nImplement, and test data processing pipelines, and data mining on a variety of hosted settings (AWS, Client technology stacks)\nStay up-to-date on emerging data and analytics technologies, tools, techniques, and frameworks. Evaluate, recommend, and influence technology-based decisions for tools and frameworks for effective delivery\nSupport the development and implementation of project and portfolio strategy, roadmaps and implementations\nKnowledge, Skills, and Abilities\nGood working Technical Knowledge (Cloud data pipelines and data consumption products)\nAbility to communicate at all levels within the digital analytics team and influence team leadership\nAbility to work with cross-functional teams and translate requirements between business, project management and technical projects or programs\nTeam player with transformation mindset\nAbility to operate successfully in a lean and fast-paced organization, leveraging Scaled Agile principles and ways of working\nMust be able to collaborate across teams; demonstrate effective decision making, conflict resolution and relationship building\nAbility to troubleshoot and resolve problems across the technology stack with guidance\nExperience with data structures and services with APIs\nAbility to collaborate with the team to mature code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value\nDevelops and promotes best practices for continuous improvement\nShould have working knowledge and understanding of DevOps technology stack and standard tools/practices\nEducation, Experience, Certifications and Licenses\nMinimum Qualifications:\nData engineering experience with demonstration of best practices in Programming, SDLC practices, Distributed systems\nDeveloping and operating production workloads in cloud infrastructure\nFocus on action and iterative deployment practices\nProven experience with software development life cycle (SDLC) and knowledge of agile/iterative methodologies and toolsets\nStrong written and verbal communication skills\nAbility to execute independently\nPreferred Qualifications:\nTag management system experience, Tealium iQ preferred\nDigital Analytics analysis and reporting tools experience - 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