Mid Level Data Specialist Jobs

Mid level data specialist jobs go to professionals ready to own data pipelines and reporting workflows end to end, drive analytical decisions with limited oversight, and mentor junior teammates through complex problems. Openings are split across on-site, hybrid, and remote settings in Technology & Software, Distribution & Wholesale, and Investment & Asset Management, with Amazon Web Services, WorldQuant, and Databricks hiring at this level now.

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Overview

Open roles57
Top stateTexas
Top employerAmazon Web Services
Top citySan Antonio, TX
Work type77% On-site
Top industryTechnology

Showing 4 of 57+ Mid Level Data Specialist jobs

Allied Reliability
Data Specialist
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Allied Reliability
Added 1w ago
Data Specialist
Allied Reliability
Lake Norden, South Dakota
Data Science & Analytics
Quality Assurance & Testing (QA Testing)
Manufacturing Operations
Data Science
Data Analytics
On-Site
None

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Ocular Therapeutix, Inc.
Data Review Specialist
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Ocular Therapeutix, Inc.
Added 2w ago
Data Review Specialist
Ocular Therapeutix, Inc.
Bedford, Massachusetts
Quality Control
Laboratory Research
Compliance & Legal
Compliance & Risk
$98k - $113k/yr
On-Site
Bachelor's

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Kelly
PeopleSoft Data Entry Specialist
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Kelly
Added 2w ago
PeopleSoft Data Entry Specialist
Kelly
Cleveland, Ohio
Administrative & Office Support
Human Resources
$21.00 - $28.00/hr
On-Site
None

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Roblox
Data Center Asset Management Specialist
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Roblox
Added 1mo ago
Data Center Asset Management Specialist
Roblox
Goodyear, Arizona
Procurement & Supply Chain
Business Operations
Logistics & Fleet Management
$99k - $122k/yr
On-Site
Bachelor's

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See All 57 Mid Level Data Specialist Jobs

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Mid Level Data Specialist Job Market

Who's Hiring

Amazon Web Services
Amazon Web Services4 open roles
WorldQuant
WorldQuant3 open roles
Databricks
Databricks2 open roles

Top Industries Hiring

  • Technology & Software
  • Distribution & Wholesale
  • Investment & Asset Management
  • Consulting & Professional Services
  • Education

Mid Level Data Specialist Jobs: Frequently Asked Questions

How do I get a mid level data specialist job?

Position yourself around ownership, not just contribution. Highlight projects where you drove the analytical approach, managed data quality from ingestion to reporting, or translated ambiguous business questions into structured datasets. Quantify your impact wherever possible, tailor your resume to show depth in the tools and domains the role uses, and be ready to walk through your technical decision-making in interviews.

Which companies hire mid level data specialists?

Companies hiring mid level data specialists right now include Amazon Web Services, WorldQuant, and Databricks, based on current listings on Migrate Mate as of August 2026. Hiring at this level covers large enterprises with dedicated data teams and mid-size organizations that rely on versatile specialists to manage reporting, data integrity, and cross-functional analytics independently.

Are there remote mid level data specialist jobs?

Yes, remote and hybrid options are common at this level. About 23% of mid level data specialist openings are remote or hybrid as of August 2026, reflecting how much of the work centers on tools and platforms accessible from anywhere. On-site roles tend to appear in industries where data work is tightly integrated with physical operations or compliance-heavy environments.

How do I move up to a mid level data specialist role?

The path from entry level to mid level is built on deepening your technical foundation while taking on progressively broader ownership. Focus on mastering the full data lifecycle in your current role, from sourcing and cleaning to analysis and stakeholder delivery. Seek out projects where you lead a piece of the work independently, document your contributions clearly, and build fluency in SQL, Python, or BI tools relevant to your field.

Which industries hire the most mid level data specialists?

Mid Level data specialist roles concentrate in Technology & Software, Distribution & Wholesale, and Investment & Asset Management, based on current listings on Migrate Mate as of August 2026. These sectors generate large, complex datasets that require experienced specialists who can work independently to maintain quality, surface insights, and support decisions across multiple business functions.