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Databricks Software Jobs in Ohio (NOW HIRING)

FlightSafety International

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... software development roles * 3+ years in a technical leadership or lead engineer capacity * 5+ ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... software development roles * 3+ years in a technical leadership or lead engineer capacity * 5+ ...

campus4tech

Azure Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

This is a W2 role Short We need a strong Azure Data Engineer with expertise in Databricks, including Unity Catalog experience), strong Pyspark and understanding of CI/CD and Infrastructure as Code ...

Kimball Midwest

Software Engineer - Data

Columbus, OH · On-site

$110K - $132K/yr

... a Software Engineer to join our Data team! We are looking for someone who is driven, passionate ... Databricks, and integration with Power BI and Copilot. * Strong understanding of Microsoft ...

Worldpay

Senior ML Software Engineer

Cincinnati, OH · On-site

$117K - $155K/yr

You will be the primary software engineering expert for a product area, working as part of a cross ... Familiarity with Databricks or similar platforms * Experience supporting high-volume, real-time ...

84.51°

Senior Data Engineer (P4533)

Cincinnati, OH · On-site

$117K - $155K/yr

Our developers use Python, Databricks, Spark, JSON, and SQL in scrum teams to developer the ... Experience with version control software * Strong understanding of Agile Principles (Scrum)

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Databricks Software information

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.

Is Databricks a high paying job?

Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What are the key skills and qualifications needed to thrive as a Databricks Software Engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks Jobs?

Databricks Jobs are automated tasks or workflows that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Ohio? For Databricks Software jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Ohio look for? The top searched job categories for Databricks Software jobs in Ohio are:
What cities in Ohio are hiring for Databricks Software jobs? Cities in Ohio with the most Databricks Software job openings:
Databricks Software jobs near you
Lead Data Engineer

Lead Data Engineer

FlightSafety International

Columbus, OH

$107K - $129K/yr

Other

Posted 15 days ago

FlightSafety International rating

8.6

Company rating: 8.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

15th of 204 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.

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