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Data Engineer Ml Jobs in Alabama (NOW HIRING)

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 ... Support statistical models and AI/ML solutions using Python and/or R * Prepare data pipelines to ...

Mindlance

Data Engineer 3

Birmingham, AL · On-site

$107K - $128K/yr

... ML solutions. • 5+ years hands on experience designing, developing, testing, deploying, and supporting data engineering and analytics solutions using on premises tools such as MSBI (SSIS/SSAS ...

4P Consulting Inc.

Data Engineer III 4P/598

Birmingham, AL · On-site

$107K - $128K/yr

... ML initiatives. Responsibilities : • Design, develop, test, deploy, and support scalable data ... Required : • 5-10 years of hands-on data engineering experience • Advanced SQL expertise • ...

Bespoke Labs

Data Engineer

Mobile, AL · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Huntsville, AL · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Tuscaloosa, AL · On-site

$102K - $123K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

SOSi

Data Engineer- SME

Huntsville, AL

$112K - $135K/yr

Overview SOSi is seeking an expert Data Engineer to join our analytics team working on an ... Lead teams building complex data pipelines and ML systems * Develop services and extend ...

SOSi

Data Engineer- SME

Huntsville, AL

$112K - $135K/yr

Overview SOSi is seeking an expert Data Engineer to join our analytics team working on an ... Lead teams building complex data pipelines and ML systems * Develop services and extend ...

SOSi

Data Engineer- SME

Huntsville, AL · On-site

$112K - $135K/yr

Overview SOSi is seeking an expert Data Engineer to join our analytics team working on an ... Lead teams building complex data pipelines and ML systems * Develop services and extend ...

IGNITE

DATA ENGINEER/DATA ANALYST

Huntsville, AL · On-site

Job Title DATA ENGINEER/DATA ANALYST Location Huntsville, AL US (Primary) Category Engineering Job ... AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains.

Booz Allen Hamilton

Senior Data Engineer

Huntsville, AL · On-site

$77K - $176K/yr

R0238400 Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine ... Experience with AI or ML pipelines and processes * TS/SCI clearance with a polygraph * Master ...

Booz Allen Hamilton

Data Engineer, Senior

Huntsville, AL · On-site

$77K - $176K/yr

Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with AI or ML pipelines and processes * TS/SCI clearance with a polygraph * Master ...

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All JobsData Engineer Ml JobsData Engineer Ml Jobs in Alabama

Data Engineer Ml information

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.
What are popular job titles related to Data Engineer Ml jobs in Alabama? For Data Engineer Ml jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Data Engineer Ml jobs in Alabama look for? The top searched job categories for Data Engineer Ml jobs in Alabama are:
What cities in Alabama are hiring for Data Engineer Ml jobs? Cities in Alabama with the most Data Engineer Ml job openings:
Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer III

4pconsultinginc

Birmingham, AL • On-site

$107K - $128K/yr

Contractor

Re-posted 5 days ago

Job description

Position: Data Engineer III

Location: 3535 Colonnade Parkway, Birmingham, AL 35243
Duration: 1 Year

Client: Southern Company Services.

Position Overview

The Data Engineer III is responsible for designing, building, and optimizing scalable data pipelines and analytics solutions across relational databases, NoSQL systems, and cloud-based data lake environments. This role focuses on transforming raw data into reliable, structured, and machine-readable formats that support enterprise analytics, AI/ML initiatives, and operational reporting.

The ideal candidate brings strong experience in SQL, big data frameworks, cloud platforms, and modern data engineering best practices.

Key Responsibilities

Data Engineering & Pipeline Development

  • Design, develop, test, deploy, and support scalable data pipelines
  • Create and maintain Databricks pipelines for multiple data sources
  • Develop batch and real-time data processing solutions
  • Normalize databases and design schemas aligned with application requirements
  • Combine and transform raw data into structured, analytics-ready datasets

Data Modeling & Architecture

  • Design and implement data models (star schema, snowflake, relational, NoSQL)
  • Implement data access strategies and storage optimization techniques
  • Develop functional and technical designs for data engineering solutions
  • Support diverse data source integration and enrichment

Big Data & Cloud Technologies

  • Develop solutions using Spark, Hive, Hadoop
  • Build and maintain solutions using Azure ecosystem tools:
    • Azure Data Lake
    • Azure Data Factory
    • Azure Databricks
    • Azure Synapse
    • Azure Key Vault
    • Power BI
  • Work with MSBI tools (SSIS, SSAS), Informatica, Oracle Golden Gate

AI/ML & Advanced Analytics Support

  • Support statistical models and AI/ML solutions using Python and/or R
  • Prepare data pipelines to enable machine learning workflows

DevOps & Modern Engineering Practices

  • Implement CI/CD pipelines for data engineering deployments
  • Work within Agile development environments
  • Utilize containerization tools (Docker, OpenShift)
  • Develop API and web service integrations for data sourcing and delivery

Data Quality & Governance

  • Implement and maintain data quality frameworks and tools
  • Ensure consistency, accuracy, and reliability of data assets

Required Qualifications

  • 5–10 years of hands-on data engineering experience
  • Advanced SQL expertise
  • Strong experience with Spark, Hive, Hadoop
  • Hands-on experience with Azure cloud data tools
  • Experience building Databricks pipelines
  • Experience with MSBI (SSIS/SSAS), Informatica, Oracle, SQL Server
  • Experience with batch and real-time data processing frameworks
  • Experience with data modeling and schema design
  • Experience working with APIs and web services

Preferred Qualifications

  • Experience supporting AI/ML workflows
  • Experience with containerization (Docker, OpenShift)
  • Strong background in DevOps and CI/CD practices
  • Experience working in enterprise-scale environments