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Data Engineer Jobs in Pelham, AL (NOW HIRING)

EBSCO Industries Inc

Data Scientist

Birmingham, AL · On-site

You will own the statistical modeling and feature engineering that exists in the Data * Data Layer & Feature Store: Snowflake * Model Deployment: Snowflake ML Functions, Snowpark * Development:

EBSCO Industries, Inc.

Data Scientist

Birmingham, AL · On-site

You will own the statistical modeling and feature engineering that exists in the Data * Data Layer & Feature Store: Snowflake * Model Deployment: Snowflake ML Functions, Snowpark * Development:

Apex Systems

Data Solutions Developer

Birmingham, AL · On-site

Data Solutions Developer Reporting, Analytics & Application Development Location: Birmingham, AL (Hybrid) About the Role We are seeking a talented Data Solutions Developer to join a growing team ...

Pwc

AI & GenAI Data Scientist - Manager

Birmingham, AL · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

4pconsultinginc

Data Scientist III (IT)

Birmingham, AL · On-site

This role requires strong expertise in statistics, machine learning, and programming , with the ability to transform raw data into actionable insights. The ideal candidate has hands-on experience ...

Mindlance

Data Scientist 3

Birmingham, AL · On-site

... engineering efforts to identify and select critical data features, enhancing the predictive power of machine learning models. • Formulate, implement, and test hypotheses, providing robust ...

Pwc

AI Engineer

Birmingham, AL · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Pelham, AL

Data Engineer information

See Pelham, AL salary details

$40.9K

$119.2K

$163K

How much do data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer in Pelham, AL is $119,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $126,300.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What job categories do people searching Data Engineer jobs in Pelham, AL look for?

The top searched job categories for Data Engineer jobs in Pelham, AL are:

What cities near Pelham, AL are hiring for Data Engineer jobs?

Cities near Pelham, AL with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Pelham, AL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $119,150 per year, or $57.3 per hour.

Data, Analytics & AI Engineer ONI

O'Neal Industries

Birmingham, AL • On-site

$107K - $128K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Design, build, and maintain reliable, scalable data pipelines using Boomi and Azure Data Factory to integrate data from various systems.

  • Develop and manage curated data models in Azure SQL and future MS Fabric environments to support analytics, AI, and reporting.

  • Develop and maintain Power BI semantic models, dashboards, and reports to deliver insights to stakeholders.

Job description

Responsibilities Include but Are Not Limited To:
Data Engineering & Analytics Platform
  • Design, build, and maintain reliable, scalable data pipelines using Boomi and Azure Data Factory to integrate data from ERP, EHS, operational, and corporate systems.
  • Develop and manage curated data models in Azure SQL and future MS Fabric environment lake house or warehouse architectures to support analytics, AI, and reporting use cases.
  • Ensure data quality, consistency, and performance across pipelines, models, and downstream consumers.
  • Contribute to data architecture standards, patterns, and best practices as ONI evolves toward Microsoft Fabric.

Analytics & Reporting
  • Develop and maintain Power BI semantic models, dashboards, and reports that deliver actionable insights to executives and business teams.
  • Partner with stakeholders to translate business questions into metrics, KPIs, and analytical solutions.
  • Promote self-service analytics through well-designed datasets, documentation, and governance.

AI, Machine Learning & Agentic Workflows
  • Identify, prototype, and deliver AI and machine learning solutions that improve decision-making, forecasting, anomaly detection, classification, and automation.
  • Design and implement agentic workflows that combine data, analytics, and AI models to automate multi-step business processes, decision support, and operational actions.
  • Leverage Azure-based AI services and emerging Fabric capabilities (e.g., notebooks, ML, real-time intelligence) to operationalize AI solutions.
  • Act as an internal advocate and advisor on responsible AI adoption, helping business units understand practical and strategic AI opportunities.

Collaboration & Delivery
  • Collaborate with IT, security, and DevOps teams to ensure solutions align with enterprise standards for security, compliance, and reliability.
  • Partner with affiliate companies and cross-functional ONI teams as a resource on key initiatives.
  • Prioritize, scope, and manage data and AI initiatives with clear success metrics and business outcomes.

Continuous Improvement & Innovation
  • Explore, evaluate, and pilot new data, analytics, and AI technologies with a bias toward business value.
  • Contribute to a culture of data-driven decision-making, experimentation, and continuous improvement across ONI.

Required Skills, Abilities and Education:
  • Bachelor's degree or higher in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field.
  • Strong experience building and supporting data pipelines and system integrations, preferably with Azure Data Factory and/or Boomi.
  • Proficiency in SQL and relational data modeling; experience with Azure SQL Database or similar platforms.
  • Hands-on experience developing and maintaining analytics and semantic models using Power BI.
  • Programming experience in one or more languages such as Python (including notebooks), with the ability to apply them to data engineering, analytics, and AI use cases.
  • Experience applying AI/ML techniques to real-world business problems, including model development, evaluation, and operationalization.
  • Strong analytical thinking, problem-solving, and attention to detail.
  • Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Self-driven, curious, and comfortable working in a dynamic, evolving technical environment.

Desirable Skills, Abilities and Education:
  • Experience or strong interest in Microsoft Fabric, including lake house, warehouse, notebooks, real time analytics, and AI workloads.
  • Familiarity with agentic AI patterns, workflow orchestration, and automation platforms.
  • Experience supporting enterprise data platforms in regulated or security conscious environments.
  • Understanding of modern data architecture concepts (ELT, semantic layers, governance, lineage).
  • Experience working within large, distributed organizations or multi affiliate environments.
  • Strong customer focused mindset with the ability to manage expectations and build trusted partnerships.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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