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Databricks Engineer Jobs in Hoover, AL (NOW HIRING)

Software Engineer IV

Birmingham, AL · On-site

$114K - $151K/yr

Position: Senior Software Engineer IV - AI / Azure Databricks {GC & US Citizen only} Location: 3535 Colonnade Parkway, Birmingham AL 35243 Duration: 6 Months Client: Southern Nuclear Position ...

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

Data Engineer III Location: 3535 Colonnade Parkway, Birmingham, AL 35243 Duration: 1 Year Client ... Create and maintain Databricks pipelines for multiple data sources * Develop batch and real-time ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

... Databricks or similar data engineering technologies. • Experience with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud. • Strong knowledge of data engineering principles ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

... Databricks or similar data engineering technologies. • Experience with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud. • Strong knowledge of data engineering principles ...

IT Project Manager III

Birmingham, AL · On-site

$92K - $109K/yr

Databricks deployments * Familiarity with: * Data medallion architecture * Data security * Data governance * Pipeline orchestration * Experience using: * Jira * Azure DevOps * Agile delivery tools ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

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Showing results 1-20

Databricks Engineer information

See Hoover, AL salary details

$52.5K

$98.5K

$179.1K

How much do databricks engineer jobs pay per year?

As of Jul 25, 2026, the average yearly pay for databricks engineer in Hoover, AL is $98,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $116,900.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Software Engineer IV

4pconsultinginc

Birmingham, AL • On-site

$114K - $151K/yr

Contractor

Posted 20 days ago


Job description

Position: Senior Software Engineer IV – AI / Azure Databricks {GC & US Citizen only}

Location: 3535 Colonnade Parkway, Birmingham AL 35243
Duration: 6 Months
Client:       Southern Nuclear


Position Overview

We are seeking a Senior Software Engineer IV with 10+ years of experience in software engineering, specializing in AI application development within an Azure Databricks Lakehouse environment.

This role requires strong experience in large-scale distributed systems, object-oriented development (.NET/Java), and enterprise-grade troubleshooting. The ideal candidate will design, develop, and support sophisticated AI-driven applications leveraging modern cloud and data engineering technologies.


Key Responsibilities

AI & Cloud Application Development

  • Design and implement AI-driven applications using:
    • Azure Databricks
    • MS Azure Lakehouse architecture
  • Develop scalable solutions within distributed system environments.
  • Collaborate with data engineering and analytics teams to integrate AI models into production systems.

Software Engineering & Architecture

  • Design, develop, test, and modify sophisticated software applications.
  • Develop technical specifications and system documentation.
  • Architect solutions using Web-based and Object-Oriented technologies.
  • Review and recommend software tools, frameworks, and platforms.

Coding & Troubleshooting

  • Perform problem determination and resolution.
  • Debug, optimize, and enhance existing applications.
  • Install, update, and maintain software systems.
  • Provide high-level application support, including 24x7 technical support as required.

Distributed Systems & Performance

  • Work in large-scale distributed environments.
  • Ensure system reliability, scalability, and performance optimization.
  • Collaborate with infrastructure and cloud engineering teams.

Required Qualifications

  • 10+ years of professional software engineering experience.
  • Strong knowledge of:
    • Object-Oriented Programming
    • Web-based application development
    • .NET and/or Java
  • Hands-on experience with:
    • Azure Databricks
    • Azure Lakehouse frameworks
  • Experience working in large-scale distributed system environments.
  • Strong troubleshooting and production support experience.
  • Ability to design and implement enterprise-grade software solutions.

Preferred Qualifications

  • Experience integrating AI/ML models into production applications.
  • Familiarity with Spark-based platforms.
  • Experience working in regulated or enterprise production environments.
  • DevOps / CI/CD experience.
  • Cloud-native architecture experience.

Technical Skills

  • .NET / C#
  • Java
  • Azure Databricks
  • Azure Data Lake / Lakehouse
  • Distributed Systems
  • REST APIs
  • SQL
  • Object-Oriented Design
  • Debugging & Production Support

Core Competencies

  • Strong analytical and problem-solving skills
  • Ability to manage complex, multi-system environments
  • Excellent communication skills
  • Self-driven and capable of working independently
  • Ability to provide technical leadership and guidance