{"id":1603889,"url":"https://alion.io/job/accenture-google-senior-data-engineer","title":"Google Senior Data Engineer","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":1996,"ghost_share":0.002,"stale_share":0.076,"repost_share":0.006,"time_to_fill_p50_days":4,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Albany, United States","Milwaukee, United States","Dallas, United States","Columbus, United States","Kirkland, United States","Cincinnati, United States","New York, United States","Cleveland, United States","Oklahoma City, United States","Austin, United States","Chicago, United States","Tampa, United States","Hartford, United States","Pittsburgh, United States","Saint Louis, United States","Miami, United States","Sacramento, United States","Raleigh, United States","Minneapolis, United States","Mountain View, United States","Scottsdale, United States","San Francisco, United States","Denver, United States","Boston, United States","Philadelphia, United States","Des Moines, United States","Overland Park, United States","Los Angeles, United States","Charlotte, United States","Seattle, United States","Houston, United States","Arlington, United States","Atlanta, United States","Redmond, United States","Bentonville, United States","Beaverton, United States","Nashville, United States","Detroit, United States","San Diego, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":94400,"max":266300,"currency":"USD","period":"year","gross":null,"usd_annual":266300},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-01T19:34:54Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-03T23:34:17Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"We Are\nAccenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. As part of Accenture Cloud First and the Accenture Google Business Group (AGBG), we deliver solutions leveraging Google Cloud’s Data & AI platform-including BigQuery, Looker, Vertex AI, Gemini Foundation Models, and Gemini Enterprise.\nYou Are\nA hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply technical skills, learn advanced Data & AI patterns, and support delivery teams in designing and implementing modern data and AI solutions.\nYou’re comfortable working directly with clients, supporting senior architects, and contributing to end-to-end project execution.\nThe Work (What You Will Do)\nAs a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and models, perform analysis, and contribute to technical implementations under guidance from senior team members.\n1. Hands-On Technical Delivery\nBuild data pipelines, ETL/ELT processes, and integrations using GCP services such as: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage\n\nAssist with data modeling, performance tuning, and query optimization in BigQuery.\n\nImplement data ingestion patterns for batch and streaming data sources.\n\nSupport development of dashboards and analytics products using Looker or Looker Studio.\n\n2. Support Agentic AI & ML Solution Development\nAssist in developing ML models and AI solutions using: Vertex AI, Gemini Foundation Models, Gemini Enterprise, Model APIs & Embeddings\n\nImplement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment).\n\nSupport prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation.\n\nContribute to model testing, validation, and documentation.\n\n3. Requirements Gathering & Client Collaboration\nParticipate in client workshops to understand data needs, use cases, and technical requirements.\n\nHelp translate functional requirements into technical tasks and implementation plans.\n\nCommunicate progress, blockers, and insights to project leads and client stakeholders.\n\n4. Data Governance, Quality & Security Support\nImplement metadata management, data quality checks, and lineage tracking using GCP tools (Dataplex, IAM).\n\nFollow best practices for security, identity management, and compliance.\n\nSupport operational processes for data validation, testing, and monitoring.\n\n5. Continuous Learning & Team Support\nLearn and apply GCP Data & AI best practices across architectural patterns, engineering standards, and AI frameworks.\n\nCollaborate closely with senior data engineers, ML engineers, and architects.\n\nContribute to internal accelerators, documentation, and reusable components.\n\nStay current with GCP releases, Gemini model updates, and modern engineering practices.\n\nTravel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.\nHere's what you need\nMinimum of 5 years of hands-on experience in Data Engineering, Data Analytics, ML Engineering, or related fields.\nMinimum of 4 years of practical experience with Google Cloud Platform.\nMinimum of 5 years of experience with SQL, data modeling, and building data pipelines.\nMinimum of 3 years of experience with Python or AI or GenAI tools (Vertex AI preferred).\nBachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)\nBonus point if you have\nExperience with GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, and Looker.\nExposure to AI/ML development or experimentation with Vertex AI, Gemini models, embeddings, or RAG patterns.\nHands-on experience with CI/CD, Git, or cloud-native engineering practices.\nGoogle Cloud certifications (Associate Cloud Engineer or Professional Data Engineer).\nExperience working in agile delivery environments.\nCompensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.\nWe anticipate this job posting will be posted until 10/08/2026.\nAccenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture\nRole Location Annual Salary Range\nCalifornia $94,400 to $266,300\nColorado $94,400 to $230,000\nConnecticut $94,400 to $230,000\nDistrict of Columbia $100,500 to $245,000\nIllinois $87,400 to $230,000\nMaine $80,400 to $196,000\nMaryland $94,400 to $230,000\nMassachusetts $94,400 to $245,000\nMinnesota $94,400 to $230,000\nNew York $87,400 to $266,300\nNew Jersey $100,500 to $266,300\nOhio $87,400 to $213,000\nVirginia $87,400 to $245,000\nWashington $100,500 to $245,000\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nWhat We Believe\nWe have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.\nInclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here\nRequesting An Accommodation\nAccenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.\nIf you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.\nFor details, view a copy of the Accenture Equal Opportunity Statement\nAccenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.\nAccenture is committed to providing veteran employment opportunities to our service men and women.\nOther Employment Statements \nApplicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.\nCandidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.\nJob candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.\nThe Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.\nCalifornia requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.\nPlease read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.","description_format":"text","description_chars":10307,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"associate","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Systems Integrators","Business Process Outsourcing (BPO)","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-10-01T19:34:54Z"}],"visa":[],"liveness":{"score":76,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.84,"p_room":0.9,"age_days":1,"expected_fill_days":4,"reasons":["conf:10","velocity","win:mid","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":{"stated_usd_annual":266300,"is_top_pay":true},"html_url":"https://alion.io/job/accenture-google-senior-data-engineer","json_url":"https://alion.io/job/accenture-google-senior-data-engineer.json","meta":{"generated_at":"2026-10-04T01:59:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2717,"day_limit":5000,"remaining_today":2283,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}