AI Data Engineer

Company : Experis
Location : Mountain View, CA
Posted Date : 8 October 2025
Job Type : Other
Category : Software Development
Occupation : Data Engineer
Job Details
Our client, a leading technology organization specializing in cloud-based data solutions, is seeking an AI Data Engineer to join their team. As an AI Data Engineer, you will be part of the Analytics Department supporting data onboarding, ETL pipeline development, and dashboard visualization projects. The ideal candidate will have strong problem-solving skills, adaptability, and excellent collaboration abilities which will align successfully in the organization.
Job Title: AI Data Engineer - Analytics & ETL
Location: Mountain View, CA - Remote
Pay Range: $67.07 - $73.78
Contract - 18 months
What's the Job?
We are seeking a hands-on Data Engineer with deep expertise in data onboarding (streaming and historical), ETL pipeline development, and dashboard visualization. This role is critical to scaling our analytics infrastructure and supporting high-impact projects across Microsoft Fabric, ADX/Kusto, and Azure ecosystems.
- Ingest and normalize structured and unstructured data from diverse sources using advanced tools like Event Hubs, SQL, and Vector.
- Develop scalable, automated ETL pipelines utilizing Azure Data Factory, Logic Apps, and Kusto Query Language (KQL).
- Create and maintain real-time dashboards with Microsoft Fabric, Azure Data Explorer, and Power BI to support operational insights.
- Implement data modeling standards and enforce governance to ensure data security and compliance.
- Collaborate with cross-functional teams to integrate telemetry, license usage, and operational metrics into unified views for strategic decision-making.
1. Data Onboarding & Ingestion
2. ETL Pipeline Development (Azure Data Factory, Logic Apps, Kusto)
3. Dashboard Development (Azure Data Explorer, Power BI)
Key Responsibilities
- Data Onboarding & Parsing: Ingest and normalize structured/unstructured data (live and historical data) from diverse sources (using Event Hubs, SQL, Vector, etc.).
- ETL Pipeline Development: Build scalable, automated pipelines using Azure Data Factory (ADF), Logic Apps, and Kusto Query Language (KQL).
- Dashboard Development: Design and maintain real-time dashboards using Microsoft Fabric (Power BI), Azure Data Explorer (ADX) and Azure Data Studio.
- Data Modeling & Governance: Implement robust data models and enforce governance standards across analytics workflows.
- Infrastructure Integration: Collaborate with cross-functional teams to integrate telemetry, license usage, and operational metrics into unified views.
- Performance Optimization: Tune queries and pipelines for speed, reliability, and cost-efficiency.
- Minimum of 5 years of hands-on experience with data onboarding, ingestion, and normalization processes.
- Proficiency in building ETL pipelines using Azure Data Factory, Logic Apps, and Kusto Query Language.
- Experience in dashboard development with Azure Data Explorer and Power BI.
- Strong scripting skills in Python or Bash for automation and data processing tasks.
- Knowledge of data governance, security, and compliance in cloud environments.
- Opportunity to work on cutting-edge migration projects to Microsoft Fabric.
- Involvement in building new analytics infrastructure and dashboards from the ground up.
- Exposure to modern data engineering tools and real-time telemetry integration.
- Flexible remote work arrangement from anywhere in the US.
- Chance to contribute to high-impact projects supporting organizational growth and innovation.
- Medical and Prescription Drug Plans
- Dental Plan
- Vision Plan
- Health Savings Account
- Health Flexible Spending Account
- Dependent Care Flexible Spending Account
- Supplemental Life Insurance
- Short Term and Long Term Disability Insurance
- Business Travel Insurance
- 401(k), Plus Match
- Weekly Pay
ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.
Trending Searches in Mountain View, CA
- Full time jobs near me Mountain View, CA
- Local job openings
- Places hiring near me
- Job vacancies near me
- AI Data Engineer jobs near me Mountain View, CA
- AI Data Engineer jobs hiring near me Mountain View, CA
- AI Data Engineer jobs hiring near Mountain View, CA
- AI Data Engineer jobs near Mountain View, CA
- AI Data Engineer jobs near me in Mountain View, CA
- AI Data Engineer jobs in Mountain View, CA
Top trending job titles hiring now
Other Jobs You May Like
Software Engineer Manager II, Platforms Infrastructure Engineering (PIE)
Company : Google
Location : Sunnyvale, CA
Software Engineer III, Full Stack, Google Cloud Business Platforms
Company : Google
Location : Sunnyvale, CA
Senior Staff Data Scientist, Research, Search Platforms
Company : Google
Location : Mountain View, CA
Top searches
Employment opportunities at Experis
- Experis jobs near me Mountain View, CA
- Experis jobs hiring near me Mountain View, CA
- Experis jobs near Mountain View, CA
- Experis jobs hiring near me
- Experis openings near me
- Experis jobs near me in Mountain View, CA
- Experis jobs hiring in Mountain View, CA
- Employment opportunities near me
- Job openings near me
- Jobs hiring immediately