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Entry Level Azure Data Engineer Jobs in Ohio (NOW HIRING)

$75.38 - $98.57/hr

Die ideale Bewerberin oder der ideale Bewerber hat einen MINT-Hintergrund und mehrere Jahre Berufserfahrung im Data Engineering, vor allem im Fabric/Azure-Ökosystem. Gute Deutschkenntnisse (C1) sind ...

New

$70 - $90/hr

Data Engineering : Du verfügst über Erfahrung im Aufbau und Betrieb von Datenplattformen, Data ... Kenntnisse in SAP, S/4HANA, Oracle oder Microsoft Dynamics, Cloud‑Plattformen (Azure, AWS, GCP ...

$79.64 - $125.14/hr

Du unterstützt bei der Weiterentwicklung unserer Daten- und AI-Plattformen sowie bei Lizenz- und ... Du hast bereits mit Cloud-basierten Datenplattformen, idealerweise Azure AI Foundry oder ...

New

$75.38 - $98.57/hr

End‑to‑End Engineering & Lakehouse‑Architektur: Mit Fabric Data Factory, OneLake und ... Fundiertes Know‑how in Fabric/Azure: Deinen technologischen Schwerpunkt hast du bewusst im ...

New

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

$102.76 - $171.27/hr

Als Senior Professional Fullstack-Data-Engineer wirst du in unserer Tribe-Organisation stetig ... AWS, AZURE, GCP, Docker, K8S, Gitlab, Github, Maven, Terraform, Helm. Was dich erwartet ...

$68.63 - $91.50/hr

Du verfügst über mehrjährige Berufserfahrung als Data Engineer, DevOps Engineer oder in einer ... Azure, Grafana, Elastic Stack oder dem Staedean Connectivity Center mit. * Analytisches ...

$97.05 - $137.02/hr

Sauberes Engineering verbindest du mit Databricks, Azure und Claude zu Werkzeugen, die es so nicht von der Stange gibt. Damit gibst du unserer Forschung nicht nur Daten, sondern Antworten - und den ...

$102.76 - $148.43/hr

You combine clean engineering with Databricks, Azure and Claude to build tools that don't exist off the shelf. That way you give our research not just data, but answers - and the leverage to make the ...

Lead ETL Engineer of large-scale data solutions. You will join a team delivering a transformative ... Azure Data Factory, SQL Packages, etc) with batch and real-time event data streams. Developing ...

$64.94 - $88.56/hr

Enge Zusammenarbeit mit Analytics-, Product- und Engineering-Teams * Automatisierung von ... Praxiserfahrung mit Cloud-Plattformen (AWS, GCP oder Azure) und gängigen Data-Tools (z. B. Airflow ...

New

$109K - $131K/yr

Data Engineer: Design, build, and maintain cloud-based data and analytics platforms and data ... Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform. * Understanding ...

New

$81.18 - $104.37/hr

Databricks, Snowflake, BigQuery, Azure Data Platform & Fabric, AWS Data & ML Stack, GCP * Data Engineering: Python, SQL, Spark, Kafka, Airflow, dbt, relationale und NoSQL-Datenbanken * ML & AI ...

Showing results 41-60

Entry Level Azure Data Engineer information

What is an entry level Azure Data Engineer?

An Entry Level Azure Data Engineer is a professional who helps design, build, and maintain data solutions on Microsoft Azure's cloud platform. They work with data storage, data pipelines, and data integration tools, often supporting more senior engineers in managing big data and analytics workloads. This role involves tasks like setting up Azure data services, transforming data, and ensuring secure and efficient data flows. Entry level engineers are typically early in their careers and may hold relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate.

What are some common challenges faced by entry level Azure Data Engineers and how can they be addressed?

Entry level Azure Data Engineers often encounter challenges such as managing complex data integration tasks, understanding the nuances of Azure’s numerous data services, and ensuring data security and compliance. To address these, it's helpful to invest time in hands-on practice with Azure tools like Data Factory and Synapse Analytics, seek mentorship within your team, and regularly review Microsoft’s documentation and best practices. Collaborating closely with more experienced engineers and participating in code reviews can also accelerate learning and help you navigate real-world scenarios more effectively.

What are the key skills and qualifications needed to thrive as an entry level Azure Data Engineer, and why are they important?

To thrive as an Entry Level Azure Data Engineer, a solid understanding of data modeling, SQL, and basic programming (such as Python or Scala), along with a relevant degree in computer science or a related field, is important. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help newcomers excel in collaborative, data-driven environments. These competencies are critical for successfully designing, implementing, and maintaining scalable data solutions in modern cloud ecosystems.

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

The most popular types of Azure Data Engineer jobs in Ohio are:

What cities in Ohio are hiring for Entry Level Azure Data Engineer jobs?

Cities in Ohio with the most Entry Level Azure Data Engineer job openings:

Infographic showing various Entry Level Azure Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Senior Data Engineer -- Cloud Lakehouse & Fabric Architect

inovex GmbH

On-site

$75.38 - $98.57/hr

Other

Posted 3 days ago

New


Job description

inovex GmbH in Deutschland sucht einen Data Engineer, der für die Erstellung skalierbarer Datenfundamente in cross-funktionalen Projektteams verantwortlich ist. Du wirst Daten-Silos aufbrechen, Infrastrukturen bauen und die technische Basis für datengetriebene Services schaffen.

Die ideale Bewerberin oder der ideale Bewerber hat einen MINT-Hintergrund und mehrere Jahre Berufserfahrung im Data Engineering, vor allem im Fabric/Azure-Ökosystem. Gute Deutschkenntnisse (C1) sind erforderlich.

Das Angebot umfasst zahlreiche Benefits wie Hardwareleasing, mobile Arbeit und ein Weiterbildungsbudget.

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