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Databricks Software information

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 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 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.

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 Arkansas? For Databricks Software jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Arkansas look for? The top searched job categories for Databricks Software jobs in Arkansas are:
What cities in Arkansas are hiring for Databricks Software jobs? Cities in Arkansas with the most Databricks Software job openings:
Databricks Software jobs near you
MTO Manufacturing Software Leader

MTO Manufacturing Software Leader

General Electric Company

Springdale, AR • On-site

Full-time

Posted 5 days ago

Job description

Job Description SummaryThis role leads development and deployment of data and software-enabled manufacturing solutions for engine overhaul and repair operations across GE Aerospace's global MRO network. The MTO Manufacturing Software Leader combines manufacturing engineering depth with hands-on software and data product capability to deliver measurable improvements in yield, cycle time, quality, and productivity. This position owns high-impact digital workflows in areas such as AI-enabled material forecasting applications, Databricks-based repair data products, SAP router/work center digital alignment, and digital inspection or automated defect-recognition solutions. Success requires strong customer empathy, rapid problem-solving, and the ability to lead cross-functional teams from prototype through scaled deployment.Job Description

Role Overview:

  • Lead strategic digital manufacturing initiatives that improve overhaul and repair outcomes in MRO shop environments.
  • Design, build, and manage web applications that operationalize AI models (including material forecasting) for daily shop and planning use.
  • Build and govern Databricks data products and catalogs for repair operational data (including rework and quality dashboards).
  • Drive consistent digital alignment of routers and work center IDs in SAP and related systems to improve data integrity and execution accuracy.
  • Create and lead blended delivery teams (internal talent and external contractors) to deliver production-ready software solutions for manufacturing workflows.
  • Partner with CES Datafabric, Data Science, MRO DT, Operations, and Engineering teams to translate business pain points into deployable technical products.
  • Develop high-fidelity prototypes, run pilot testing with shop users, and convert successful pilots into scalable network solutions.
  • Establish standard technical patterns, documentation, and governance to enable repeatable deployment across global MRO sites.
  • Lead operating rhythms and execution reviews; track milestones, adoption, and business impact metrics, and provide decision-ready updates to leadership.
  • Drive adoption and sustainment of deployed tools through training, feedback loops, and continuous improvement cycles.
  • Apply Lean and manufacturing engineering principles to ensure digital solutions improve process capability, not just system complexity.
  • Create project charters, integrated timelines, risk plans, and action trackers; remove roadblocks and drive on-time delivery.

Basic Qualifications:

  • Bachelor's degree in Engineering, Computer Science, Information Systems, Data Science, or related technical field from an accredited university with a minimum of 7 years' experience in software development, data engineering, manufacturing engineering, MRO operations, or digital product delivery

    OR

  • Master's degree in Engineering, Computer Science, Information Systems, Data Science, or related technical field with a minimum of 5 years' experience in software development, data engineering, manufacturing engineering, MRO operations, or digital product delivery

  • Willingness to travel approximately 6 times per year to global MRO sites

Preferred Qualifications:

  • Humble: respectful, receptive, agile, and eager to learn
  • Transparent: shares critical information, speaks with candor, and contributes constructively
  • Focused: quick learner, strategically prioritizes work, and stays committed to outcomes
  • Leadership ability: strong communicator, decision-maker, and collaborative team builder
  • Problem solver: analytical, systems-minded, and willing to challenge legacy processes
  • Strong full-stack web application development capability with ability to deliver maintainable, production-grade solutions
  • Strong data engineering experience, including building governed data products and data models in platforms such as Databricks
  • Experience operationalizing AI/ML solutions from prototype to production, including monitoring and lifecycle management
  • Ability to balance hands-on technical execution with team leadership (hybrid builder-leader model)
  • Demonstrated ability to work effectively in manufacturing, repair, or other operationally intensive environments
  • Experience working with ERP or manufacturing execution data models (SAP experience preferred)
  • Proficiency in driving process change and adoption through structured change management and user-centered design
  • Ability to influence and align cross-functional stakeholders across operations, engineering, quality, and digital technology teams
  • Strong oral and written communication skills with demonstrated ability to synthesize complex topics for executive and frontline audiences
  • Demonstrated ability to document, plan, market, and execute programs that scale across multiple sites
Additional Information

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: No

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