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Data Engineer Jobs in Vance, AL (NOW HIRING)

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

$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 ...

4pconsultinginc

Software Engineer IV

Birmingham, AL · On-site

$114K - $151K/yr

Collaborate with data engineering and analytics teams to integrate AI models into production systems. Software Engineering & Architecture * Design, develop, test, and modify sophisticated software ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Vance, AL

Data Engineer information

See Vance, AL salary details

$39.9K

$116.4K

$159.3K

How much do data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer in Vance, AL is $116,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $123,400.00 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 cities near Vance, AL are hiring for Data Engineer jobs?

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Vance, 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 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $116,398 per year, or $56 per hour.

Software Developer / Data Solutions Developer

4p-Consulting-Inc.

Birmingham, AL • On-site

$90 - $130/hr

Other

Posted 9 days ago

Key responsibilities

  • Design, develop, test, implement, and support enterprise software applications and data solutions.

  • Integrate and consolidate data from multiple enterprise systems to support reporting, analytics, and business applications.

  • Develop and maintain web applications, APIs, dashboards, reports, and data-driven solutions.

Job description

Client:Southern Company
Location: Birmingham, AL
Contract Duration: 1 Year
Experience:3-5 Years

Job Summary

We are seeking aSoftware Developer / Data Solutions Developerwith 3-5 years of experience to design, develop, and support enterprise reporting, analytics, data integration, and application solutions.

This role will work closely with business stakeholders, developers, data engineers, and end users to understand business requirements, integrate data from multiple enterprise systems, improve access to information, and deliver reliable solutions that support operational performance and business decision-making.

The Developer will also evaluate existing applications and systems and recommend appropriate software upgrades, enhancements, and technology improvements.

Key Responsibilities
  • Design, develop, test, implement, and support enterprise software applications and data solutions.
  • Integrate and consolidate data from multiple enterprise systems to support reporting, analytics, and business applications.
  • Develop and maintainweb applications, APIs, dashboards, reports, and data-driven solutions.
  • Design specific computer systems and application software based on business and technical requirements.
  • Evaluate existing applications and recommend software upgrades, enhancements, and system improvements.
  • Work with stakeholders to gather and document business and technical requirements.
  • Partner with developers and data engineers to validate data accuracy and resolve data quality or integration issues.
  • Troubleshoot application, reporting, database, and data integration issues.
  • Develop secure, scalable, reliable, and maintainable enterprise solutions.
  • Support system testing, implementation, deployment, and production troubleshooting.
  • Participate in application modernization and cloud-based development initiatives.
  • Maintain technical documentation and follow established development and source-control standards.
  • Support continuous process and performance improvements.
Required QualificationsExperience
  • 3-5 years of experiencein software development, application development, business intelligence, reporting, data solutions, or a related technical field.
  • Experience developingweb applications, APIs, dashboards, reporting solutions, and business systems.
  • Experience integrating, validating, troubleshooting, and consolidating data from multiple enterprise platforms.
Application Development
  • Strong proficiency withC# and .NET.
  • Experience with modern web application development.
  • Experience withBlazor.
  • Experience developing and consumingREST APIs.
  • Familiarity with:
    • Microservices
    • Distributed application architectures
    • GitHub
    • Azure DevOps
    • Source control
    • Azure-hosted applications
    • Cloud application deployment
Data & Reporting
  • StrongSQL developmentskills.
  • Experience with data analysis, data modeling, validation, troubleshooting, and integration.
  • Experience withPower BI.
  • Experience working withDatabricks.
  • Knowledge of enterprise data warehouses and modernlakehouse/cloud data platforms.
  • Experience withOracleandMicrosoft SQL Server.
Preferred Qualifications

Experience with one or more of the following is highly desirable:

  • Python
  • JavaScript
  • TypeScript
  • Azure services
  • CI/CD pipelines
  • Automated application deployments
  • Semantic models
  • Enterprise reporting and analytics platforms
  • Modern data architecture
  • Agile/Scrum development environments
Knowledge, Skills & Abilities
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work effectively with both technical and non-technical stakeholders.
  • Ability to translate business requirements into practical technical solutions.
  • Strong collaboration and stakeholder-management skills.
  • Ability to manage multiple priorities and assignments.
  • Strong attention to data accuracy and application quality.
  • Ability to independently troubleshoot technical issues and recommend solutions.
  • Commitment to developing secure, scalable, and maintainable applications.
Work Environment

This is ahybrid position based in Birmingham, Alabama. The role will involve a combination of remote and on-site collaboration.

Periodic on-site presence and occasional travel may be required for stakeholder meetings, workshops, testing, training, implementation, and other project-related activities.

Key Skills

C# | .NET | Blazor | REST APIs | SQL | Power BI | Databricks | Azure | Azure DevOps | GitHub | Oracle | SQL Server | Data Integration | Data Modeling | Web Application Development | APIs | Reporting | Dashboards | Microservices | CI/CD

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