ZipRecruiter

Log In

1

Data Engineer Jobs in Hoover, AL (NOW HIRING)

Story Terrace Inc.

Data Engineer - Mid Level

Leeds, AL · On-site

$87.01 - $140.56/hr

Whetherit'sdata strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands-on experts who love ...

EBSCO Industries Inc

GIS Data Engineer

Birmingham, AL · Remote

Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source tools. * Acquire, clean, transform, and load geospatial datasets to support product, engineering, and ...

EBSCO Industries, Inc.

GIS Data Engineer

Birmingham, AL · On-site

Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source tools. * Acquire, clean, transform, and load geospatial datasets to support product, engineering, and ...

McLeod Software

Analyst, Enterprise Data

Birmingham, AL · On-site

Working knowledge of at least one major programming language (e.g., Python, C#, Java, or Scala) required. * Proficiency with statistical analysis and data visualization tools (e.g., Tableau, Power BI ...

Pwc

Data Strategy-Manager

Birmingham, AL

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Kemper

Data Quality Engineer

Birmingham, AL · Remote

$107K - $128K/yr

Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to design, implement, and optimize enterprise data validation frameworks that ensure the accuracy ...

Pwc

Data Governance- Manager

Birmingham, AL · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

4pconsultinginc

Data Visualization Engineer I

Birmingham, AL · On-site

$107K - $128K/yr

Data Visualization Engineer I Duration: 12 Months Location: 3535 Colonnade Parkway, Birmingham, AL 35243 Client: Southern Company Services. Position Summary The Data Visualization Engineer I is ...

Deploy

Data, Analytics & AI Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Data, Analytics & AI Engineer Help Build the Future of Data, Analytics & AI Are you passionate about data engineering, analytics, and artificial intelligence? Do you love solving complex business ...

previous pagenext page

Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Hoover, AL

Data Engineer information

See Hoover, AL salary details

$39.3K

$114.5K

$156.6K

How much do data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer in Hoover, AL is $114,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $121,300.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Hoover, AL? The most popular types of Data Engineer jobs in Hoover, AL are:
What cities near Hoover, AL are hiring for Data Engineer jobs? Cities near Hoover, AL with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Hoover, AL as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $114,452 per year, or $55 per hour.

Data Engineer / API Integration Developer

The McPherson Companies

Trussville, AL • On-site

Full-time

Re-posted yesterday

Job description

General Summary:
Hands-on Data Engineer / API Integration Developer to help build and support modern data pipelines, system integrations, automation workflows, and internal web applications. This role will work across business systems, cloud platforms, databases, APIs, and AI-assisted development tools to deliver practical solutions that improve operational visibility, process automation, and enterprise data flow.
The ideal candidate is a builder who can move between data engineering, API development, workflow automation, and application prototyping. This person should be comfortable using Python, SQL, PHP, n8n, Snowflake, AWS services, and AI-assisted development tools to rapidly develop, test, and deploy business solutions. Experience with JD Edwards EnterpriseOne is a strong plus.
Primary Responsibilities and Duties:
  • Design, build, and maintain data pipelines between enterprise applications, databases, cloud platforms, and internal systems.
  • Develop API integrations between ERP, CRM, service platforms, third-party applications, and custom internal tools.
  • Build and maintain workflows using n8n and similar automation platforms.
  • Develop scripts, services, and lightweight applications using Python, PHP, SQL, and modern web technologies.
  • Work with Snowflake to support data ingestion, transformation, modeling, and reporting needs.
  • Support integration with cloud AI platforms such as AWS Bedrock and related services.
  • Assist in the development of internal AI-enabled tools, workflow automations, and business process applications.
  • Use AI-assisted development tools and "vibe coding" practices responsibly to accelerate development while maintaining quality, security, and maintainability.
  • Build and support web applications, internal portals, dashboards, and integration interfaces.
  • Partner with IT, finance, operations, sales, and business stakeholders to understand requirements and translate them into technical solutions.
  • Create reusable integration patterns, documentation, error handling, logging, and monitoring for production workflows.
  • Assist with data quality, data profiling, data mapping, and source-to-target validation.
  • Work with authentication, authorization, and identity platforms such as WorkOS or similar tools.
  • Support integrations involving ERP, CRM, service management, eSignature, document automation, analytics, and AI workflow platforms.
  • Troubleshoot production issues related to APIs, ETL jobs, workflows, databases, and application integrations.
  • Other duties and responsibilities as assigned by management.

Position Requirements:
  • Strong experience with Python development for data engineering, API integrations, automation, and backend services.
  • Strong SQL skills, including querying, joins, stored procedures, data validation, and performance troubleshooting.
  • Experience developing or consuming REST APIs, webhooks, JSON, XML, and other integration patterns.
  • Experience with PHP or similar backend web development languages.
  • Experience building workflows or automations using n8n
  • Experience with cloud-based data platforms, preferably Snowflake.
  • Experience working with AWS services; AWS Bedrock experience preferred.
  • Experience building internal web applications, portals, dashboards, or business process tools.
  • Understanding authentication and authorization concepts such as OAuth, SAML, JWT, API keys, and role-based access control.
  • Ability to use AI-assisted development tools effectively while still understanding, validating, and securing the code produced.
  • Strong troubleshooting skills across applications, databases, APIs, and workflow automation tools.
  • Ability to document technical designs, integration flows, dependencies, and support procedures.

Preferred Qualifications:
  • Experience with JD Edwards EnterpriseOne, Orchestrator, AIS, business functions, tables, or JDE integrations.
  • Experience integrating ERP, CRM, service management, billing, AR, AP, or financial systems.
  • Experience with Oracle databases, Microsoft SQL Server, or other enterprise relational databases.
  • Experience with data modeling, data warehousing, ELT/ETL patterns, and analytics enablement.
  • Experience with AWS Bedrock, AI agents, vector databases, RAG patterns, prompt engineering, or AI workflow automation.
  • Experience with WorkOS or other identity/access management platforms.
  • Experience with GitHub, CI/CD pipelines, Docker, containerized applications, and DevOps practices.
  • Experience with JavaScript, TypeScript, Node.js, React, or similar web application frameworks.
  • Experience working in a mid-market enterprise environment with a mix of legacy systems and modern cloud platforms.

The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the associate a general sense of the responsibilities and expectations of his/her position. As the nature of business demands change so, too, may the essential functions of this position.
The McPherson Companies, Inc. is an Equal Opportunity Employer - M/F/Vets/Disabled.

Apply