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Entry Level Microsoft Data Engineer Jobs in California

$122K - $147K/yr

... Engineer to join our Enterprise Systems and Data Engineering team. You will work with experienced engineers to build, enhance, test, and support modern data solutions using Databricks and Microsoft ...

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Entry Level Microsoft Data Engineer information

What does an entry level Microsoft data engineer do?

An Entry Level Microsoft Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, and Power BI. Their role typically involves collecting, transforming, and loading (ETL) data from various sources to enable data analysis and reporting. They work closely with other IT professionals to ensure data integrity, performance, and security while learning best practices in data engineering. This position is ideal for those starting their careers in data engineering and looking to develop expertise in Microsoft's data ecosystem.

What are the key skills and qualifications needed to thrive as an entry level Microsoft data engineer?

To thrive as an Entry Level Microsoft Data Engineer, you need foundational knowledge of SQL, data modeling, and a relevant degree in computer science or a related field. Familiarity with Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and possibly certifications like Microsoft Certified: Azure Data Engineer Associate are typically expected. Strong analytical thinking, attention to detail, and effective communication help you stand out when collaborating with teams and translating data requirements. These skills are crucial for ensuring reliable data pipelines, facilitating data-driven decisions, and supporting organizational growth.

What are some common challenges faced by entry level Microsoft data engineers when working with large datasets?

Entry-level Microsoft Data Engineers often encounter challenges such as ensuring data integrity during extraction, transformation, and loading (ETL) processes, especially when dealing with large or complex datasets in Azure environments. Optimizing query performance and managing resource costs can also be difficult for those new to cloud-based data solutions. However, these challenges are excellent learning opportunities, as they encourage developing strong troubleshooting skills and familiarity with tools like Azure Data Factory, SQL Server, and Power BI. Support from more experienced team members and access to structured onboarding programs can help new hires quickly become proficient and confident in their daily responsibilities.

What is the difference between Entry Level Microsoft Data Engineer vs Data Analyst?

AspectEntry Level Microsoft Data EngineerData Analyst
Required CredentialsMicrosoft certifications, SQL, basic cloud knowledgeExcel, SQL, data visualization tools
Work EnvironmentData pipelines, cloud platforms, database managementData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with data infrastructure needsMarketing, retail, finance for insights and reporting

Both roles often require SQL and basic data skills, but Data Engineers focus on building data systems and pipelines, while Data Analysts interpret data and create reports. Entry Level Microsoft Data Engineers typically work more with cloud platforms and data infrastructure, whereas Data Analysts focus on data visualization and insights. The roles are complementary but differ in technical depth and focus areas.

What are popular job titles related to Entry Level Microsoft Data Engineer jobs in California?

For Entry Level Microsoft Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Microsoft Data Engineer jobs in California look for?

The top searched job categories for Entry Level Microsoft Data Engineer jobs in California are:

What cities in California are hiring for Entry Level Microsoft Data Engineer jobs?

Cities in California with the most Entry Level Microsoft Data Engineer job openings:

Infographic showing various Entry Level Microsoft Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineer / BI Consultant - Databricks & Power BI

Los Angeles, CA

Expleo
IT Services • 10K+ employees

$55 - $71.50/hr

Full-time

Posted 12 days ago


Job description

Description du poste

Le Groupe EXPLEO s'appuie sur 19000 collaborateurs hautement qualifies qui fournissent des solutions a forte valeur ajoutee dans 30 pays. Expleo vous aide a realiser vos ambitions et a assurer, ensemble, votre avenir. Nous vous offrons un melange unique de reflexion audacieuse et d'execution fiable, pour accelerer l'innovation a travers chaque etape de votre chaine de valeur.

Au-dela de rejoindre une entreprise, c'est donc une aventure humaine que nous vous proposons de VIVRE !!

MissionsMissions principales
  • Concevoir et developper des pipelines de donnees sur Databricks.
  • Collecter, transformer et integrer des donnees provenant de differentes sources.
  • Developper des traitements ETL/ELT et assurer leur industrialisation.
  • Exploiter Apache Spark / PySpark pour le traitement de volumes importants de donnees.
  • Concevoir et maintenir des architectures Data basees sur le Lakehouse.
  • Developper des modeles de donnees adaptes aux besoins BI.
  • Concevoir et maintenir des dashboards et rapports avec Microsoft Power BI.
  • Developper des indicateurs et KPIs en utilisant DAX.
  • Optimiser les modeles Power BI, les requetes et les performances des rapports.
  • Participer a la mise en place de solutions de reporting automatisees.
  • Assurer la qualite, la fiabilite et la coherence des donnees.
  • Analyser et resoudre les incidents lies aux pipelines, datasets et dashboards.
  • Participer aux phases de tests, validation et mise en production.
  • Rediger la documentation technique et fonctionnelle.
  • Collaborer avec les equipes Data, IT et metiers.
QualificationsProfil recherche
  • Formation Bac+4/5 en informatique, Data, BI ou equivalent.
  • Experience de 3 ans minimum dans les domaines Data Engineering / Business Intelligence.
  • Experience significative sur Databricks et Power BI.
  • Bonne maitrise de SQL et des problematiques de transformation et modelisation des donnees.
  • Capacite a analyser les besoins metiers et a les traduire en solutions Data/BI.
  • Autonomie, rigueur et esprit d'analyse.
  • Bonnes capacites de communication en francais et en anglais.
Atouts supplementaires
  • Certification Databricks ou Microsoft Power BI.
  • Experience sur Azure Databricks.
  • Connaissance de Microsoft Fabric.
  • Experience avec Azure Data Factory.
  • Connaissance de CI/CD et Git.
  • Experience dans la mise en place de solutions Data en environnement international.
CompetencesCompetences techniques

Databricks

  • Bonne maitrise de Databricks.
  • Maitrise de Apache Spark / PySpark.
  • Developpement de pipelines Data et traitements distribues.
  • Bonne connaissance de Delta Lake et de l'architecture Lakehouse.
  • Experience avec les notebooks Databricks.
  • Connaissance de la gestion et de l'optimisation des jobs Databricks.
  • Connaissance de Databricks SQL serait un plus.

Power BI

  • Bonne maitrise de Microsoft Power BI.
  • Creation de dashboards et rapports interactifs.
  • Maitrise de DAX.
  • Maitrise de Power Query / M.
  • Conception de modeles de donnees et relations.
  • Optimisation des performances Power BI.
  • Connaissance de Power BI Service, workspaces et publication des rapports.
  • Connaissance de la gestion des droits et de la securite RLS.

Data / Cloud

  • Tres bonnes connaissances en SQL.
  • Experience sur les architectures Data Lake / Data Warehouse / Lakehouse.
  • Connaissance d'un environnement Cloud (Azure, AWS ou GCP).
  • Une experience avec Azure Data Factory serait un plus.
  • Une connaissance de Microsoft Fabric serait un plus.
Employment Type: FULL_TIME