{"id":3102442,"url":"https://alion.io/job/exl-gcp-data-engineer-3","title":"GCP Data Engineer","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":232,"ghost_share":0,"stale_share":0.991,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jersey City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":107000,"max_usd":204000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1251},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GCP","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"ETL/ELT","optional":true},{"name":"FHIR","optional":true},{"name":"Java","optional":true},{"name":"Jenkins","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-08-28T15:23:13Z","employer_posted_date":"2026-08-28","last_verified_at":"2026-10-23T23:23:28Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":56},"description":"GCP Data Engineer\nRemote, US\n$75-85k plus bonus plus benefits\nFor more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits\nThe posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.\nCloud Data Engineer - Job description\nThe Cloud Data Engineer is a hands-on role responsible for performance, availability and scalability of the public cloud environment. You will collaborate with other Architects and Engineers to enable enterprise applications to meet the organizations business goals.\n Role and Responsibilities:\nWork closely with application development and data engineers on day-to-day tasks.\n\nParticipate in project planning and implementation.\n\nCoordinate with Data Scientists, Product Managers and business leaders to understand data needs and deliver on those needs.\n\nCreate and maintain optimal data pipeline architecture.\n\nAssemble large, complex data sets that meet functional / non-functional business requirements.\n\nIdentify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.\n\nBuild the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and other data sources.\n\nBuild analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.\n\nWork with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.\n\nImprove, optimize and identify opportunities for efficient software development processes.\n\nHelp achieve milestones as per sprint plan and prioritize to manage ad-hoc requests in parallel with ongoing sprints.\n\n Required Qualifications:\n5+ years of hands-on experience in building Data pipeline (ETL/ELT) in a cloud platform \nGCP knowledge strongly preferred - other cloud experience such as AWS. AZURE is ok\n5+ years of hands-on experience of building and operationalizing data processing systems\nStrong Python scripting experience is very important requirement\n2+ years’ experience in NoSQL databases and close familiarity with technologies/languages such as Python/R, Scala, Java, Hive, Spark, Kafka\n2+ years’ experience working with data platforms (Data warehouse, Data Lake, ODS) \n2+ years’ experience working with tools to automate CI/CD pipelines (e.g., Jenkins, GIT, Control-M) \nMust have working experience with the clinical data\nGCP (google cloud platform) experience \n3+ years of experience working on healthcare / clinical data\nPreferred Qualifications:\nData analysis / Data mapping skills\nPython\nCloud Data flow/Data proc/Function\nWhistle map SDK\nGoogle Health care API/ FHIR store\nWhat we offer:\nEXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.\nYou can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth \nAnalytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.\nWe provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.\nSky is the limit for our team members. 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