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Full Time Indexer Jobs (NOW HIRING)

Full-Time/Part-Time Full-Time Position Maintenance Mechanic Location Index Fresh Texas - Pharr, TX About the Organization Established in 1914, Index Fresh, Inc. is a worldwide marketer and ...

MDS Coordinator (RN) - Full-Time

Hickory, NC · On-site

$33.25 - $40.25/hr

Job Type Full-time Description MDS Coordinator (RN) - Full-Time Hickory, NC We are seeking an ... Monitor case mix index (CMI) and identify opportunities for optimization * Participate in care plan ...

Clerk, Full-time

Grand Rapids, MI · On-site

$15 - $18.50/hr

... Full-Time Job ID 28620 Share this job The Clerk assists the Service Center and performs any ... Proofread records or forms, sort and file records and index records and information. * Tabulate and ...

If you've built search indexes at massive scale and care deeply about ranking quality, freshness ... San Francisco, CA or Remote (Americas, UTC-3 to UTC-10) Job Type: Full-Time Experience: 3+ years ...

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Full Time Indexer information

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$10

$19

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How much do full time indexer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for full time indexer in the United States is $19.23, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $25.48 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Indexer jobs? The most popular types of Indexer jobs are:

Data Engineer (Fulltime / Hybrid)- SFO CA (OR) Palo Alto CA

Goldenpick Technologies

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Posted 25 days ago


Job description

Data Engineer 
Fulltime / Hybrid - 2 days on-site
SFO CA (OR) Palo Alto CA
  • 8+ years of hands-on experience in data warehouse development and optimization, ETL/ELT development, and SSRS reporting solutions.
  • Strong expertise in SQL (query optimization, stored procedures, indexing).
  • Proficiency with Azure data lake/warehouse technologies (Azure Synapse, Azure Databricks, Microsoft Fabric, etc.).
  • Experience with ETL tools (Informatica, Talend, SSIS, dbt, or similar).
  • Solid understanding of data modeling (star schema, snowflake schema, OLAP/OLTP concepts).
  • Knowledge of cloud platforms (Azure) and modern data stack tools.
  • Strong problem-solving, analytical, and communication skills.