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Azure Big Data Engineer Jobs in Ohio (NOW HIRING)

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

... Azure Data Factory (ADF), Databricks, and DBT Lead the development of Data Vault 2.0 models and ... automation, DevOps practices, and version control for data pipelines and reporting assets ...

Data Strategy-Manager

Cleveland, OH · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... big data engineering tools - Proficiency in SQL and data visualization tools - Experience in ...

Data Strategy-Manager

Columbus, OH · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... big data engineering tools - Proficiency in SQL and data visualization tools - Experience in ...

OH · On-site

$110K - $132K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to ... Document component design for developers and for broader communication. * Understand and adopt an ...

Senior Data Engineer

Columbus, OH · On-site

$99K - $134K/yr

Experience with cloud platforms such as AWS or Microsoft Azure . * Experience with big-data or distributed-data technologies such as Spark, Kafka, Hadoop, or NoSQL platforms . * Programming ...

... our big data to be consumed by data scientists and our products. Our data engineers use PySpark ... Experience with Azure * Experience with Databricks Delta Tables, Delta Lake, Delta Live Tables

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Experience with big data technologies (Spark, Hadoop, Databricks - optional but preferred). * Familiarity with CI/CD, DevOps practices, and version control tools. Responsibilities: * Design, develop ...

Public Health Data Engineer

Beavercreek, OH

$106K - $127K/yr

Support cloud-based data environments and services in AWS and Azure. * Assist with the ... Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high ...

Lead Data Engineer (P4519)

Cincinnati, OH · On-site

$125K - $207K/yr

As a Lead Data Engineer, you will design and implement solutions to ingest, store, transform, and distribute big data on Azure Cloud. Our developers use Databricks (Spark, SQL, PySpark), Databricks ...

Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other modern technologies. * Design and implement CI/CD pipelines and DevOps best practices for data ...

Senior Data Engineer

Beavercreek, OH · On-site

$80K - $133K/yr

Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other modern technologies. * Design and implement CI/CD pipelines and DevOps best practices for data ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... big data engineering - Designing advanced analytics solutions and AI/ML models - Supporting ...

Showing results 41-60

Azure Big Data Engineer information

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.

How much do Azure Big Data Engineers make?

Azure Big Data Engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications such as Azure Data Engineer Associate. Salaries tend to be higher in regions with a strong tech industry and for professionals with advanced skills in cloud services and data processing tools.

Is Azure Big Data Engineer in demand?

Azure Big Data Engineers are in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in tools like Azure Data Lake, Synapse Analytics, and Spark. Organizations seek professionals skilled in data pipeline development, cloud architecture, and big data processing to support analytics and AI initiatives.

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

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

Infographic showing various Azure Big 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.

$107K - $129K/yr

Full-time

Re-posted 27 days ago


FlightSafety International rating

8.8

Company rating: 8.8 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

8th of 225 rated education and training


Job description

About FlightSafety International FlightSafety International is the world's premier professional aviation training company and supplier of flight simulators, visual systems and displays to commercial, government and military organizations. The company provides training for pilots, technicians and other aviation professionals from 167 countries and independent territories. FlightSafety operates the world's largest fleet of advanced full-flight simulators and award-winning maintenance training at Learning Centers and training locations in the United States, Canada, France and the United Kingdom.

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based environment. This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers, ensuring best practices in data engineering, analytics, and reporting. The Lead Data Engineer plays a key role in strategic initiatives, driving the design and delivery of scalable data platforms, and enabling actionable insights through advanced Power BI dashboards and reports.

Tasks and Responsibilities Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals Provide technical mentorship and guidance to Senior Data Engineers and Senior Analytics Engineers Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and DBT Lead the development of Data Vault 2.0 models and ensure consistency across projects Architect and orchestrate data workflows using Databricks LakeFlow, Apache Airflow, and ADF Oversee data ingestion and replication strategies using tools such as Fivetran, SQDR, Rivery, or custom Python scripts Develop and optimize Power BI dashboards, reports, and semantic models to support business intelligence and self-service analytics Collaborate with business stakeholders, architects, and analysts to translate requirements into technical solutions Ensure data quality, governance, and security standards are met across all data products Lead code reviews, enforce development standards, and promote best practices in data engineering and analytics Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting assets Troubleshoot and resolve complex data issues in production and development environments Contribute to enterprise data strategy and participate in architectural review boards Maintain documentation for data architecture, pipelines, and reporting solutions Infrequent travel as needed Minimum Education Bachelor's degree from an accredited institution or equivalent industry experience Minimum Experience 12+ years of experience in data engineering or software development roles 3+ years in a technical leadership or lead engineer capacity 5+ years of experience with Azure Data Factory and Azure Data Lake Storage 3+ years of experience with Databricks, Delta Live Tables, and Unity Catalog 3+ years of experience with Power BI dashboard and report development 2+ years of experience with DBT and Apache Airflow Experience with Data Vault 2.0 modeling (certification preferred) Strong experience with Python, PySpark, and SQL Knowledge, Skills, Abilities Deep expertise in cloud data platforms, especially Azure and Databricks Strong understanding of ELT/ETL, data modeling, and data warehousing principles Proven ability to lead and mentor technical teams in a collaborative environment Advanced skills in Power BI, including DAX, Power Query, and data modeling Experience with data ingestion and replication tools (e.g., Fivetran, SQDR, Rivery) Proficiency in Python, PySpark, and SQL for data transformation and automation Experience orchestrating workflows using Apache Airflow and Databricks LakeFlow Familiarity with DevOps, CI/CD pipelines, and version control systems (Git, TFS) Strong communication and stakeholder engagement skills Knowledge of data governance, metadata management, and compliance frameworks Experience with Agile/Scrum methodologies Exposure to AI/ML tools and concepts within Databricks is a plus Experience in Education or Aviation industries is a plus Physical Demands and Work Environment The physical demands and work environment described here are representative of those that must be met and/or encountered by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; and communicate

The employee may be required to stand, walk, and sit. Specific vision abilities required by this job include the ability to view monitors, technical documents, and reference material. The employee must occasionally lift or move up to 25 pounds.

The noise level in the work environment is usually low to moderate. FlightSafety is an Equal Opportunity Employer/Vet/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Any offer of employment is contingent upon successful completion of required compliance reviews, including verification that the candidate is not prohibited from employment under U.S. economic sanctions programs administered by the U.S. Department of the Treasury's Office of Foreign Assets Control (OFAC)

This position may require access to export-controlled technology or services subject to the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR). Employment consideration and any offer of employment are contingent upon the applicant's ability to comply with these requirements, including qualifying as a "U.S. Person" under applicable regulations or otherwise eligible for export authorization within a timeframe consistent with business needs

A "U.S. Person" includes U.S. citizens, lawful permanent residents (holders of approved and unexpired green cards), and certain refugees or asylees with protected status under U.S

law. This position may also require eligibility to obtain and maintain a U.S. Government security clearance for the duration of employment

Cybersecurity Notice: All official recruiting communication from FlightSafety International will come from an @flightsafety.com email address. FlightSafety International will never ask for personal or financial information through social media or third-party email providers. Apply


What FlightSafety International employees say

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