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Databricks Engineer Jobs in Alabama (NOW HIRING)

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Cloud data engineering exposure (Azure, Databricks, GCP). (5-8 Years) Education Required: * Bachelor's Degree Education/Certifications Preferred: * Master's Degree * DAMA CDMP (Associate/Practitioner)

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Cloud data engineering exposure (Azure, Databricks, GCP). (5-8 Years) * Master's degree preferred. * DAMA CDMP (Associate/Practitioner) · EDM Council DCAM · ASQ Data Quality Credential · Collibra ...

The role of Data Engineer is perfect for ambitious technologists passionate about working with the latest Microsoft Fabric and / or Azure Databricks technologies to deliver modern, highly scalable ...

Senior DevOps Engineer

Huntsville, AL · On-site

$128K - $165K/yr

... Engineer will be responsible for the design, deployment, testing, and operations of DevSecOps ... Databricks. • Ability to understand and manage containerized applications using Docker. • ...

Busines Intelligence Engineer III

Huntsville, AL · On-site

$50.25 - $65.25/hr

You will work deeply with Databricks and Blue Origin's broader data ecosystem, building robust data ... BI engineering career. We are looking for someone to apply their analytical depth, technical ...

Busines Intelligence Engineer III

Huntsville, AL · On-site

$48.50 - $63.25/hr

You will work deeply with Databricks and Blue Origin's broader data ecosystem, building robust data ... BI engineering career. We are looking for someone to apply their analytical depth, technical ...

Sr. Data Engineer

Enterprise, AL

$90K - $109K/yr

Currently we are searching for a Sr Data Engineer to fulfill an immediate full-time vacancy. This ... Databricks, or similar) * Preferred: familiarity with CI/CD practices and version control for data ...

Data Engineer, Senior

Huntsville, AL · On-site

$105K - $142K/yr

They are seeking a Senior Data Engineer to help clients organize and analyze data from various ... Databricks, Snowflake, Redshift, or BigQuery • Experience with federal information system ...

Senior Data Engineer

Huntsville, AL · On-site

$104K - $141K/yr

Job Title Senior Data Engineer Location Huntsville, AL 35808 US (Primary) Category Information ... Databricks, Snowflake, Redshift, or BigQuery - Experience creating and improving continuous ...

Senior DevOps Engineer

Huntsville, AL

$135K - $173K/yr

AWS, Docker, ALB, Terraform, Cloudformation, Databricks, AWS Redis, Springboot, PKI * Must be a U.S. Citizen * An active DoD Top Secret clearance with SCI eligibility is required to perform this work.

Senior DevOps Engineer

Huntsville, AL · On-site

$135K - $173K/yr

AWS, Docker, ALB, Terraform, Cloudformation, Databricks, AWS Redis, Springboot, PKI * Must be a U.S. Citizen * An active DoD Top Secret clearance with SCI eligibility is required to perform this work.

Senior DevOps Engineer

Huntsville, AL · On-site

$135K - $173K/yr

AWS, Docker, ALB, Terraform, Cloudformation, Databricks, AWS Redis, Springboot, PKI * Must be a U.S. Citizen * An active DoD Top Secret clearance with SCI eligibility is required to perform this work.

Senior DevOps Engineer

Huntsville, AL · On-site

$128K - $165K/yr

... s Engineer - Huntsville, AL Full Visibility is seeking a Senior DevOps Engineer to work in ... Experience designing and supporting big data and analytics solutions using Databricks. * Ability to ...

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Databricks Engineer information

See Alabama salary details

$53.9K

$101.2K

$184K

How much do databricks engineer jobs pay per year?

As of Jun 6, 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, and data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications.

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.
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 cities in Alabama are hiring for Databricks Engineer jobs? Cities in Alabama with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Alabama as of May 2026, with employment types broken down into 100% Contract. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $101,182 per year, or $48.6 per hour.
Data Quality Engineer

Data Quality Engineer

Advanced Systems Design

Montgomery, AL • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Advanced Systems Design is seeking a Data Quality Engineerfor our client located in Montgomery, AL.
This position is onsite in Montgomery, AL, and requires in-person availability starting day 1.
Job Overview:
A Data Quality Engineer, strong data analyst with deep technical skills in SQL, Purview, Data Pipelines and Data Modeling, plus experience in cloud data environments, automated testing, and collaboration with analytics and engineering teams. Ensures data is not only clean but also ready to support advanced analytics and AI applications
Required Qualifications:
Data Quality Engineer & Analytics Skills
  • Core Technical Skills: MUST BE ABLE TO NAVIGATE AN ENVIRONMENT WITH LOW\NO DATA MATURITY
  • Data Profiling & Cleansing: Analyze data to identify anomalies, duplicates, outliers, and missing values; apply cleansing techniques to improve data integrity.
  • SQL Proficiency: Write complex queries to validate data accuracy, perform transformations, and generate reports. (SSIS - ETL\ELT)
  • Python & Other Languages: Python is widely used for automation, data validation, and integration with analytics pipelines; SQL is essential for querying and reporting.
  • Data Modeling & Warehousing: Understand ETL/ELT processes, data warehouse/lake/lakehouse architectures, and data modeling principles.
  • Cloud & Modern Data Stack: Experience with cloud platforms (AWS, GCP, Azure), modern data warehouses (Snowflake, BigQuery), and tools like Spark, Kafka/Kinesis, Hadoop, or S3.
  • Data Testing & Observability: Design and deploy automated data testing at scale; use observability platforms for real-time monitoring.

Analytics & Data Science Skills
  • Data Quality Standards & Metrics: Define and enforce data quality benchmarks; measure completeness, accuracy, timeliness, and consistency.
  • Root Cause Analysis: Identify why data issues occur (ETL bugs, user input errors, system failures) and implement fixes.
  • Collaboration with Data Scientists: Work with ML/data science teams to ensure training data is clean and reliable.
  • Statistical & Trend Analysis: Interpret patterns in large datasets to inform quality improvements.

Soft & Communication Skills
  • Stakeholder Engagement: Gather requirements from business, engineering, and analytics teams; advocate for data quality across the organization.
  • Problem-Solving & Attention to Detail: Spot and resolve data issues efficiently; maintain high precision in validation.
  • Documentation: Record quality issues, processes, and improvements for transparency and compliance.

Tools & Platforms
  • Query & Analysis: SQL, Python, Spark, Kafka/Kinesis, Hadoop, S3.
  • Data Quality Tools: Data profiling tools (MS Purview), validation scripts, observability platforms.
  • Collaboration: Jira, Snowflake, or other data governance platforms.

Preferred Qualifications:
  • Knowledge of DAMA-DMBoK, DCAM, MDM concepts, and governance frameworks. (8-10 Years)
  • Experience with Microsoft Purview, Fabric, MS Power BI, and Key Vault (5-8 Years)
  • Familiarity with AI/ML data readiness and feature-store-aligned data structuring. (5-8 Years)
  • Cloud data engineering exposure (Azure, Databricks, GCP). (5-8 Years)

Education Required:
  • Bachelor's Degree

Education/Certifications Preferred:
  • Master's Degree
  • DAMA CDMP (Associate/Practitioner)
  • EDM Council DCAM
  • ASQ Data Quality Credential
  • Collibra Data Steward Certification
  • Certified Data Steward (eLearningCurve)
  • Cloud/AI certifications (Azure, Databricks, Google)

Advanced Systems Design, Inc. is:
  • A leading Information Technology provider for Federal, State & Local government agencies.
  • A certified minority-owned small business government contractor with capabilities related to Public Health IT, Criminal Justice, Transportation, and Defense.
  • A certified service-disabled veteran-owned company with a proud 46-year track record of providing successful innovative solutions for our government customers.
  • A drug-free workplace in accordance with the Drug-Free Workplace Act of 1988.
  • Applicants who have a signed offer of employment or contractor agreement are subject to:
    • the pre-employment testing protocol:
      • background investigation
      • drug screening

Our Employees:
  • Are actively working on next-generation technology projects with the U.S. Department of Veterans Affairs, CDC, and a wide array of Federal, State, and Local agencies throughout the United States
  • Are eligible for wide-ranging benefits and perks, including but not limited to:
    • Comprehensive Health Insurance with PPO and HDHP/HSA options
    • Dental Insurance
    • Vision Insurance
    • Short/Long-Term Disability
    • Group Life Insurance - Company Paid
    • Voluntary Life Insurance
    • 401(k) Plan with Employer Match
    • Paid Time Off (Vacation/Sick)
    • Holiday Pay - Company Paid Federal Holidays
    • Professional Certification Incentive Plan
    • Employee Referral Plan
    • Technology Exposure

For additional information regarding Advanced Systems Design, please check out our WEBSITE or click HERE for all current job openings.
Advanced Systems Design is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.