2

Entry Level Data Catalog Jobs (NOW HIRING)

Gain valuable skills and experiences to be prepared for entry level opportunities * Mentorship and ... catalog and lineage documentation efforts. * Assist in enabling business stakeholders on data ...

Gain valuable skills and experiences to be prepared for entry level opportunities * Mentorship and ... catalog and lineage documentation efforts. * Assist in enabling business stakeholders on data ...

... cataloging documents), and other day-to-day tasks required to ensure the office is operational ... Assists with entry level data entry tasks; prepares file packets for entry into imaging system ...

... cataloging documents), and other day-to-day tasks required to ensure the office is operational ... Assists with entry level data entry tasks; prepares file packets for entry into imaging system ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... checks, lineage, cataloging, or data governance is a plus. * Exposure to data engineering ...

next page

Showing results 1-20

Entry Level Data Catalog information

See salary details

$10

$19

$26

How much do entry level data catalog jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for entry level data catalog in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

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

The most popular types of Data Catalog jobs are:

What other helpful pages are available for Entry Level Data Catalog?

Other pages related to Entry Level Data Catalog:

Data Engineer Analyst (WDP)

Herndon, VA • On-site

Bespoke Technologies, Inc.
Recruiting and Staffing Services • 11 - 50 employees

$60 - $80/hr

Other

Posted 7 days ago


Job description

BT-156 – Data Engineer Analyst (WDP)

Skill Level: Entry/Junior

Location: Chantilly/Herndon

MUST HAVE AN ACTIVE TS OR TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.

Role Description:

This is an entry-level opportunity to begin your career as a Data Engineer. As a Junior Analyst, you will learn the fundamentals of building and maintaining large-scale data pipelines on a government data platform. You will work alongside senior engineers, assisting with development, monitoring systems, and helping to ensure the quality and reliability of our data. This role is ideal for a motivated individual with a foundational understanding of data concepts and a strong desire to learn and grow.

Responsibilities:
  • Assist senior engineers in the development and maintenance of data pipelines.
  • Support the operations of existing pipelines by monitoring their performance and responding to alerts under supervision.
  • Execute pre-defined scripts and processes for data ingestion and transformation.
  • Help run data quality checks and document the results.
  • Participate in team meetings and Agile/Scrum ceremonies, learning the development lifecycle.
  • Contribute to the creation and upkeep of technical documentation for data processes.
Required Qualifications:
  • 0-2 years of experience or relevant internship experience in a technical or data-related field.
  • A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
  • Basic knowledge of SQL and at least one scripting language (Python preferred).
  • A foundational understanding of data concepts (e.g., databases, ETL).
  • Strong problem-solving skills and a proactive willingness to learn new technologies.
  • Experience with cloud data platforms (e.g., Databricks, Snowflake, AWS S3, Azure Data Lake).
  • A foundational understanding of metadata management and data governance concepts.
Preferred Qualifications:
  • Hands-on experience developing integrations for an enterprise data catalog platform (e.g., Collibra, Alation).
  • Experience with workflow orchestration tools (e.g., Airflow, Prefect).
  • Familiarity with Infrastructure-as-Code (e.g., Terraform).
  • Exposure to streaming data technologies (e.g., Kafka).
#J-18808-Ljbffr