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Entry Level Data Visualization Engineer Jobs in Los Angeles, CA

We are seeking a motivated Entry-Level Data Scientist with a strong interest in database ... Collaborate with developers, data engineers, business analysts, and database administrators.

New

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Identify valuable data sources and automate collection processes * Undertake preprocessing of ... Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ...

Data Engineer II

Long Beach, CA · On-site

$125K - $150K/yr

... data visualization platforms like PowerBI. Company : Eleven Recruiting provides staffing services and employment assistance for professionals. Founded in 2018, the company is headquartered in Los ...

... programming languages such as Python or R • Experience with machine learning algorithms and statistical modeling techniques • Strong knowledge of data visualization tools and techniques • ...

... programming languages such as Python or R • Experience with machine learning algorithms and statistical modeling techniques • Strong knowledge of data visualization tools and techniques • ...

Data Engineer

Los Angeles, CA · On-site

$100K - $130K/yr

As a Data Engineer , you'll help design the highly specialized data collection infrastructure in ... Building reports and data visualization with BI tools such as Tableau or Power BI * Data ...

New

Perform feature engineering to enhance model performance * Select appropriate algorithms based on ... Strong skills in statistical analysis and data visualization * Critical thinking and effective ...

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ... and data visualization/reporting tools preferred * Strong mathematical and analytical skills

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Entry Level Data Visualization Engineer information

See Los Angeles, CA salary details

$47.9K

$139.8K

$191.3K

How much do entry level data visualization engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for entry level data visualization engineer in Los Angeles, CA is $139,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Data Visualization Engineer jobs in Los Angeles, CA?

The most popular types of Data Visualization Engineer jobs in Los Angeles, CA are:

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For Entry Level Data Visualization Engineer jobs in Los Angeles, CA, the most frequently searched job titles are:

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The top searched job categories for Entry Level Data Visualization Engineer jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Entry Level Data Visualization Engineer jobs?

Cities near Los Angeles, CA with the most Entry Level Data Visualization Engineer job openings:

Infographic showing various Entry Level Data Visualization Engineer job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $139,771 per year, or $67.2 per hour.

Data Scientist

Tech Consulting

Los Angeles, CA • On-site

Other

Posted yesterday

New


Job description

Job Title: Data Scientist

Job Type: Full-Time

Location: Candidate must be open to relocation.


We are seeking a motivated Entry-Level Data Scientist with a strong interest in database development, data analysis, and data management. The ideal candidate will assist in designing, developing, testing, and maintaining database solutions while working with large datasets and supporting data-driven business decisions. This role is ideal for recent graduates or candidates with internship or project experience who are eager to build their careers in ETL/SQL/Data development and database technologies.


Key Responsibilities

  • Develop, test, and maintain SQL queries, stored procedures, functions, views, and database objects.
  • Write efficient and optimized SQL queries to retrieve, analyze, and manage data.
  • Assist in designing and maintaining relational database structures.
  • Perform data extraction, transformation, validation, and loading activities.
  • Analyze data and generate reports to support business and operational requirements.
  • Troubleshoot and resolve database-related issues.
  • Monitor query performance and assist with database optimization.
  • Collaborate with developers, data engineers, business analysts, and database administrators.
  • Ensure data accuracy, consistency, integrity, and security.
  • Assist with database migration, integration, and data warehouse projects.
  • Document database designs, SQL scripts, technical processes, and solutions.
  • Stay updated with emerging database technologies and industry best practices.


Required Skills

  • knowledge of SQL programming.
  • Familiarity with relational databases such as SQL Server, Oracle, MySQL, or PostgreSQL.
  • Understanding of database concepts, including tables, relationships, keys, indexes, views, and constraints.
  • Knowledge of joins, subqueries, Common Table Expressions (CTEs), and window functions.
  • Basic understanding of stored procedures, functions, triggers, and database transactions.
  • Familiarity with database design and normalization concepts.
  • Basic knowledge of data analysis and reporting.
  • Understanding of data quality, validation, and integrity principles.
  • Familiarity with Git or other version control systems.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Good communication and teamwork abilities.


Preferred Skills

  • Experience with Microsoft SQL Server, Oracle Database, MySQL, or PostgreSQL.
  • Familiarity with ETL tools such as SSIS, Informatica, Talend, or AWS Glue.
  • Knowledge of data warehousing concepts, including star and snowflake schemas.
  • Exposure to reporting and visualization tools such as Power BI, Tableau, or SSRS.
  • Basic knowledge of Python or another programming language.
  • Familiarity with cloud database services on AWS, Azure, or Google Cloud Platform (GCP).
  • Understanding of database performance tuning and query optimization.
  • Exposure to Agile or Scrum development methodologies.


Thanks,