Google Data Specialist

Accenture

Hybrid

Quick summary

Work type
Hybrid
Location
AlbanyMilwaukeeDallas, TXColumbus, OHKirkland, WA
Salary
$70,350–$196,000 / yr
Posted
3 days ago
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 most similar roles pay here $211k

This role pays less than 59% of similar roles. Most pay $126,800–$181,600 — the shaded 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 134 open roles on FindRole.

Listed pay typically runs $94,400–$227,750 across 94 roles with salary data.

Most-posted roles

View all roles at Accenture

At a glance

TL;DR · Google Data Specialist

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Join Accenture Cloud First and the Accenture Google Business Group as a GCP Data Specialist, where you will support delivery teams in designing and implementing modern data and AI solutions. You will build data pipelines using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage, assist with data modeling and query optimization, develop ML models with Vertex AI and Gemini Foundation Models, and contribute to MLOps processes. Additionally, you will gather requirements from clients, translate functional needs into technical tasks, and ensure data governance and security through GCP tools like Dataplex and IAM. Ideal candidates have at least two years of experience in Data Engineering or related fields, practical knowledge of Google Cloud Platform, proficiency with SQL and Python, and familiarity with CI/CD practices. Bonus points for hands-on experience with Looker, Vertex AI, and agile delivery environments.

Skills

Google Cloud Platform BigQuery Dataflow Dataproc Pub/Sub Cloud Storage Looker Vertex AI Gemini Foundation Models Python CI/CD Git MLOps Prometheus Grafana

What you'll do

  • Build data pipelines and ETL processes using GCP services like BigQuery and Dataflow.
  • Develop ML models and AI solutions with Vertex AI and Gemini Foundation Models.
  • Implement metadata management, data quality checks, and lineage tracking in Dataplex.
  • Assist in client workshops to gather technical requirements for data projects.
  • Contribute to the development of dashboards and analytics products using Looker.

What we're looking for

  • Minimum 2 years of hands-on experience in Data Engineering or related fields.
  • Proficient in Google Cloud Platform (GCP) and its data services like BigQuery, Dataflow.
  • Strong skills in SQL, data modeling, and building data pipelines.
  • Experience with Python and AI tools, preferably Vertex AI on GCP.
  • Familiarity with CI/CD practices and cloud-native engineering methodologies.

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