ZipRecruiter

Log In

1

Associate Data Engineer Jobs Near Me

Pwc

Data Engineer - Senior Manager

Columbus, OH

$124K - $280K/yr

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

Nationwide

Consultant, Data Engineer | Databricks

Columbus, OH · Hybrid

$110K - $132K/yr

Our customers are at the center of everything we do and we're looking for associates who are passionate about delivering extraordinary care. This Consultant, Data Engineer will join the Altoids line ...

Pwc

Data Strategy-Manager

Columbus, OH · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Governance- Manager

Columbus, OH

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

CESO, Inc.

Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

We develop leaders and empower our associates to use their skills and talents to positively impact ... Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions ...

next page

Showing results 1-20

All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs Near Me

Associate Data Engineer information

See salary details

$9

$18

$30

How much do associate data engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for associate data engineer in the United States is $18.74, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

What are popular job titles related to Associate Data Engineer jobs?

For Associate Data Engineer jobs, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs look for?

The top searched job categories for Associate Data Engineer jobs are:

What cities are hiring for Associate Data Engineer jobs?

Cities with the most Associate Data Engineer job openings:

What states have the most Associate Data Engineer jobs?

States with the most job openings for Associate Data Engineer jobs include:

What are the most commonly searched types of Data Engineer jobs?

The most popular types of Data Engineer jobs are:

Who are the top companies hiring for Associate Data Engineer jobs?

The top 10 employers for Associate Data Engineer jobs are:

Associate Data Engineer jobs near you
A map of the United States highlighting the number of Associate Data Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Associate Data Engineer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Associate Data/ Metadata Analyst

Dublin, OH • Hybrid

Management Institute of Canada
See more jobs at Management Institute of Canadaexternal

Full-time

Medical, Retirement

Re-posted just now

Key responsibilities

  • Manage the lifecycle of bibliographic and holdings data, including ingestion, normalization, enrichment, and matching.

  • Profile incoming data to identify and resolve structural issues, encoding errors, and tagging discrepancies, and troubleshoot data quality issues.

  • Apply existing scripts and automated workflows to process data, monitor data quality trends using dashboards, and utilize AI-assisted tools for record matching and field mapping.

Job description

Together we make breakthroughs possible.

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.

Why join OCLC?

OCLC is consistently recognized as a best place to work by several independent programs. Werecognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.

  • We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.

  • Free use of our on-site tness center, gym sports, group exercise classes, and game room

  • Onsite catering and cafeteria subsidized by OCLC

  • Health and wellness events

  • Work environments with individual and team spaces and the latest technology tools

  • Paid parental leave and adoption assistance

  • Tuition reimbursement and Public Service Loan Forgiveness eligibility

  • Company-subsidized pricing on local tickets and memberships

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.

The job details are as follows:The Associate Data Analyst/Metadata Analyst manages the lifecycle of bibliographic and holdings data, ensuring accuracy and integrity through evaluation, transformation, and maintenance. This entry-level role combines metadata expertise with developing technical skills in scripting, automation, and AI-assisted workflows. Working under regular supervision, the Associate will transition from executing well-defined tasks to taking ownership of complex data projects. This is an opportunity to develop expertise at the intersection of library data, modern data engineering, and emerging AI - in a team that invests in the growth of its people.Responsibilities:Data Operations & Quality
  • Data Lifecycle Management:Perform data ingest, normalization, enrichment, and matching according to established standards (e.g., MARC, KBART).
  • Quality Assessment:Profile incoming data to identify and resolve structural issues, encoding errors, and tagging discrepancies.
  • Troubleshooting:Investigate and resolve data quality issues, escalating complex problems to senior staff as needed.
  • Vendor Communication:Coordinate with external data providers and partner institutions regarding routine data specifications and quality issues.
Technical Solutions & Automation
  • Pipeline Support:Apply existing scripts and automated workflows to process data; identify inefficiencies and suggest process improvements.
  • Data Visualization:Use and interpret dashboards (e.g., Power BI) to monitor data quality trends and communicate findings.
  • AI Integration:Utilize AI-assisted tools for record matching and field mapping; contribute structured feedback that helps improve AI model accuracy over time.
Collaboration & Documentation
  • Knowledge Management:Document data source profiles, processing decisions, and technical workflows to ensure team-wide knowledge sharing.
  • Team Support:Execute foundational tasks to support senior analysts and participate in platform improvement projects.
Minimum Required Knowledge, Skills and Experience:
  • Bachelor's degree in computer science, math, statistics, or related field and internship experience with data analysis or creation of library data.
  • Entry-level analytical and communication skills, with attention to data quality while working under regular supervision.
Preferred Knowledge, Skills and Experience:
  • Metadata Standards:Foundational knowledge of MARC, Dublin Core, KBART, or BIBFRAME.
  • Technical Tools:Exposure to scripting languages (Python, SQL, or XSLT) and data transfer protocols (SFTP, APIs, or AWS S3).
  • Data Platforms:Conceptual familiarity with cloud data stores (e.g., Snowflake) and visualization tools (e.g., Power BI, Streamlit).
  • Emerging Tech:Interest in applying AI and linked data concepts (e.g.,Schema.org) to library data challenges.
Working Conditions: Normal office environment.ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

Apply