Google Data Specialist

Accenture

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Albany, NYMilwaukee, WIDallas, TXColumbus, OHKirkland, WACincinnati, OHNew York, NYCleveland, OHOklahoma City, OKAustin, TXChicago, ILSt. Pete, FLHartford, CTPittsburgh, PASt. Louis, MOMiami, FLSacramento, CARaleigh, NCMinneapolis, MNMountain View, CAScottsdale, AZSan Francisco, CAMorristown, NJDenver, COBoston, MAPhiladelphia, PADes Moines, IAOverland Park, KSLos Angeles, CACharlotte, NCWalnut Creek, CACarmel, CASeattle, WAHouston, TXArlington, VAAtlanta, GAOrlando, FLRedmond, WABentonville, ARBeaverton, ORNashville, TNDetroit, MISan Diego, CA
Salary: $70,350–$196,000 / yr
Employment: Full-time
Posted: 9 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $154k

This role $133k

$55k $211k

below market most similar roles pay here above market

This role pays less than 59% of similar roles. Most pay $126,800–$180,988 — the blue band above. At the midpoint, this role pays about $133k versus about $154k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 174 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 128 roles with salary data.

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View all roles at Accenture

At a glance

TL;DR · Google Data Specialist

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The Google Data Specialist joins the Accenture Google Business Group to help organizations modernize data ecosystems and scale AI. This role involves building data pipelines, ETL/ELT processes, and integrations using Google Cloud Platform services. You will perform data modeling, query optimization, and performance tuning in BigQuery while developing dashboards using Looker or Looker Studio. Key responsibilities include implementing ML pipelines, supporting MLOps processes, and experimenting with prompt engineering and retrieval-augmented generation. You will utilize technologies including Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, and Gemini Foundation Models. The position requires translating functional requirements into technical tasks, managing data governance via Dataplex and IAM, and collaborating with senior architects to deliver end-to-end data modernization and analytics solutions for diverse client use cases.

Skills

Google Cloud Platform BigQuery Vertex AI Gemini Dataflow Dataproc Pub/Sub Cloud Storage Looker Looker Studio Python SQL MLOps RAG CI/CD Git Dataplex IAM ETL ELT

What you'll do

Build data pipelines, ETL/ELT processes, and integrations using GCP services like BigQuery, Dataflow, and Pub/Sub.
Perform data modeling, performance tuning, and query optimization within BigQuery.
Implement data ingestion patterns for both batch and streaming data sources.
Develop dashboards and analytics products using Looker or Looker Studio.
Build ML models and AI solutions using Vertex AI, Gemini models, and RAG patterns.
Establish MLOps processes including monitoring, retraining, and deployment of models.
Translate functional requirements from client workshops into technical tasks and implementation plans.
Implement metadata management, data quality checks, and lineage tracking using GCP tools.

What we're looking for

Minimum of 2 years of hands-on experience in Data Engineering, Data Analytics, ML Engineering, or related fields.
Minimum of 2 years of practical experience with Google Cloud Platform.
Minimum of 2 years of experience with SQL, data modeling, and building data pipelines.
Minimum of 2 years of experience with Python or AI or GenAI tools (Vertex AI preferred).
Bachelor's degree or equivalent (minimum 12 years' work experience).
Associate’s Degree must be accompanied by work experience.
Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer) (preferred).

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