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Databricks Engineer Jobs in Alabama (NOW HIRING)

ECS

Sr. Databricks Solutions Architect

Huntsville, AL · On-site

Lead customer engagements to design, build, and optimize Databricks-based architectures for advanced analytics, data engineering, and machine learning workloads. * Develop scalable ETL/ELT pipelines ...

4pconsultinginc

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 ...

4pconsultinginc

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 ...

4P Consulting Inc.

Data Engineer III 4P/598

Birmingham, AL · On-site

$107K - $128K/yr

Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Azure Key Vault, Power BI • ... Required : • 5-10 years of hands-on data engineering experience • Advanced SQL expertise • ...

Guidehouse

Senior Data Engineer

Huntsville, AL

$80K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Guidehouse

Senior Data Engineer

Huntsville, AL · On-site

$80K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Mindlance

Data Engineer 3

Birmingham, AL · On-site

$107K - $128K/yr

... Databricks, Python, Azure Synapse, Azure Key Vault, and Power BI. • Experience with Containerization methodologies - Docker, OpenShift, etc. • Experience with Agile as well as DevOps, CI/CD ...

Deloitte

Senior Data Engineer

Huntsville, AL · Hybrid

$104K - $141K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... Mentor junior and mid-level engineers through code reviews and pair programming * Evaluate new ...

Cortina Solutions

Data Engineer (entry-level)

Huntsville, AL · On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer is responsible for working directly with military clients to strengthen their ... Manage pipelines in a large Databricks AWS Data Lake using SQL and Python. * Run, edit, and write ...

Cortina Solutions

Data Engineer

Huntsville, AL · On-site

$106K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer is responsible for working directly with military clients to strengthen their ... Manage pipelines in a large Databricks AWS Data Lake using SQL and Python. * Run, edit, and write ...

New

Cortina Solutions

Data Engineer (entry-level)

Huntsville, AL · On-site

$50K - $62K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer is responsible for working directly with military clients to strengthen their ... Manage pipelines in a large Databricks AWS Data Lake using SQL and Python. * Run, edit, and write ...

Cortina Solutions

Data Engineer (entry-level)

Huntsville, AL · On-site

$106K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer is responsible for working directly with military clients to strengthen their ... Manage pipelines in a large Databricks AWS Data Lake using SQL and Python. * Run, edit, and write ...

Guidehouse

Data Engineer Lead

Huntsville, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with Databricks, Snowflake, or similar distributed data processing platforms. * Experience implementing and managing CI/CD pipelines, infrastructure automation, and DevOps practices.

Guidehouse

Data Engineer

Huntsville, AL

$53K - $88K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Exposure to Databricks, Spark, or large-scale data processing technologies. * Familiarity with ...

Guidehouse

Data Engineer

Huntsville, AL · On-site

$53K - $88K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Exposure to Databricks, Spark, or large-scale data processing technologies. * Basic understanding ...

Trideum Corporation

Senior Cloud Data Engineer

Huntsville, AL · On-site

$58 - $77.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement automated data workflows using Azure Data Factory, Databricks, or similar platforms ... Mentor junior engineers and promote best practices in cloud architecture and DevSecOps.

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Showing results 1-20

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Alabama

Databricks Engineer information

See Alabama salary details

$53.9K

$101.2K

$184K

How much do databricks engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for databricks engineer in Alabama is $101,182.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $120,100.00 per year, depending on experience, location, and employer.

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 architecture can earn higher compensation, often exceeding $160,000 per year.

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?

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.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.

What are popular job titles related to Databricks Engineer jobs in Alabama?

For Databricks Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Alabama look for?

The top searched job categories for Databricks Engineer jobs in Alabama are:

What cities in Alabama are hiring for Databricks Engineer jobs?

Cities in Alabama with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Alabama as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $101,182 per year, or $48.6 per hour.

Sr. Databricks Solutions Architect

ECS

Huntsville, AL • On-site

Full-time

Re-posted 9 days ago

Job description

Everforth ECS is seeking a Sr. Databricks Solutions Architect to join our team in Huntsville, Alabama. This position is contingent upon contract award.
ECS is seeking a skilled Sr. Databricks Solutions Architect to join our Professional Services team. This position is contingent upon contract award. If you are passionate about helping customers solve complex big data challenges, leveraging Databricks for advanced analytics, machine learning, and AI-driven insights, and enjoy working in a consulting environment where technical expertise meets client engagement, this role is for you.
As a member of our team, you will work with customers on short- to medium-term engagements, providing technical guidance, architecture, and hands-on support to ensure they maximize value from their Databricks environments. You will collaborate with clients to design, implement, and optimize data pipelines, analytics workflows, and machine learning solutions, all while delivering exceptional customer service and consulting expertise.
Responsibilities
  • Lead customer engagements to design, build, and optimize Databricks-based architectures for advanced analytics, data engineering, and machine learning workloads.
  • Develop scalable ETL/ELT pipelines and integrate with cloud platforms (AWS, Azure, or GCP).
  • Guide customers on data governance, security, and compliance best practices within Databricks environments.
  • Consult on architecture, reference implementations, and best practices for leveraging Delta Lake, Unity Catalog, MLflow, and related Databricks capabilities.
  • Assist customers with productionalizing data pipelines, machine learning workflows, and AI-driven applications.
  • Provide escalated technical support for customer operational issues and help troubleshoot complex platform or workflow challenges.
  • Collaborate with internal and Databricks teams, including Engineers, Architects, Project Managers, and Customer Success teams, to ensure engagement goals are met.
  • Document technical designs, architecture patterns, deployment procedures, and lessons learned.
  • Stay current on Databricks platform features, distributed computing trends, and emerging big data technologies.
  • Deliver solutions that improve performance, scalability, and operational efficiency while meeting customer business objectives.
  • Support Professional Services and Managed Services initiatives as needed, ensuring billable deliverables meet customer expectations.

  • US Top Secret Clearance required.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
  • 7+ years of experience in Data Engineering.
  • 10+ years of consulting experience, preferably in data platform or analytics-focused engagements.
  • Completion of 6-8 hands-on projects with Databricks in production environments.
  • Proven experience with Databricks, including Spark, Delta Lake, MLflow, and cloud integration.
  • Strong proficiency in Python and/or SQL for data engineering and analytics.
  • Deep understanding of distributed computing concepts and Apache Spark runtime internals.
  • Hands-on experience designing and deploying end-to-end big data and machine learning solutions.
  • Familiarity with data modeling, performance tuning, and production-grade pipeline design.
  • Experience working directly with customers in a consulting or professional services capacity.
  • Ability to manage technical scope, timelines, and delivery while maintaining excellent customer communication.
  • Willingness to travel up to 30% for customer engagements.

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