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Internship Meta Data Science Jobs (NOW HIRING)

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site

$109K - $132K/yr

Bachelor's Degree in Computer Science, Data Science, or a related field; * 1-3+ years of experience ... meta-data; * Knowledge of developing dimensional data models from unstructured content and ...

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How much do internship meta data science jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for internship meta data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.
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Data Quality Lead

Full-time

Re-posted 27 days ago


Job description

Company Description

Reach me at chaitu AT yochanait DOT com for more information 

Job Description

Job Title: Data Quality Lead

Job Location: Columbus IN

Project Duration: 6 months

GC/ USC/ H1B

Mandatory Skills

Minimum of 4 years' hands-on expertise with the data modeling and data management

1-year experience with Microsoft Data Quality Services

Exposure to Hadoop (Hortonworks preferable) stack (e.g. HDFS, MapReduce, Spark, Pig, Hive, Hbase, Flume etc.)

Minimum of 5 years of experience in database development and SQL

Minimum 2 years with Tableau

Minimum 2 years with R, Python, or Spark

Desired Skills

Technical understanding of Data Science

Hadoop and Analytics experience (MapReduce/R)

Job Description:

Implementation of Data Quality solutions consisting of meta data management, data quality, data validation, and data governance solutions

Deliver solutions via the Agile development method

Working with architects and providing implementation details to team members

Production of quality deliverables in a timely manner

Sharing knowledge and experience with various groups within an organization

Responsibilities:

Ability to communicate clearly with customers

Ability to independently analyze, diagnose, troubleshoot, and drive issues to resolution with minimal supervision

Ability to work independently within a large team environment

Ability to articulate and share knowledge as it pertains to data governance applications and architecture

Experience working in a team setting and brainstorming design for applications

Ability to quickly learn and show competence in new Advanced Analytics and Big Data technologies

Consulting experience is a plus

Additional Information

All your information will be kept confidential according to EEO guidelines.