Jobs / Cum***

Junior Data Engineer

Cum*** · Murrieta, CA, United States
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Murrieta, CA, United States91,000-121,333 USD/yearlyOnsite
Remuneration
91,000-121,333 USD/yearly
Location
Murrieta, CA, United States
Visa sponsorship
Sponsors visa

Job summary

At Cum***, you will work on some of the world's most exciting projects in a dynamic environment where your success is measured by the impact you make. We are one of the fastest-growing project and cost management consultancies in the United States, as reflected in our top 10 rankings in ENR.

Benefits

The salary range for this full-time role is $91,000.00-$121,333.35 per year.This range reflects base salary only, and not the total compensation package.Cumming Group reserves the right to pay more or less than the posted range, depePackage including:MedicalDental InsuranceVision Insurance401(k)401(k) MatchingPaid Time OffPaid HolidaysShort and long-term disability

Qualifications

  • Bachelor’s or Master’s degree in computer science, Information Systems, Data Engineering, or a related field.
  • 1+ year of experience working with data pipelines, analytics platforms, or data engineering
  • and competence as they relate to the particular position, and (2) promotion of the principle of equal employment opportunity.
  • All other terms and conditions of employment, such as compensation,
  • including client
  • In addition to base salary, Cum*** offers a comprehensive

Responsibilities

  • At Cum***, you will work on some of the world's most exciting projects in a dynamic environment where your success is measured by the impact you make.
  • Assist in developing and maintaining data pipelines in Azure Databricks using SQL and PySpark.
  • Support ingestion of data from various systems (e.g., SaaS applications, databases, reports) into the Data Lakehouse.
  • Build and maintain transformation logic to move data through Medallion Architecture layers.
  • Implement basic data validation and data quality checks to ensure reliable datasets.
  • Support orchestration and scheduling of pipelines using Azure Data Factory and Databricks Jobs.
  • Optimize queries and data models for performance in Databricks and downstream reporting

Degrees

AssociateDegree

Industry

DefenseEducationEnergyInsuranceManufacturingPublic-sectorSaas

Company size

Smb

Security clearance

Secret