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Data Engineer Jobs in Chelsea, AL (NOW HIRING)

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 ...

PNC Bank

GenAI Data Scientist

Birmingham, AL

Partner with cross-functional stakeholders (legal, compliance, security, data science, engineering) to drive timely remediation and risk resolution. Continuous Improvement & Portfolio Insights ...

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 ...

PNC Bank

Data Scientist

Birmingham, AL

May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue ...

Huntington

Senior Google Data (AI) Architect

Hoover, AL · On-site

$57.75 - $77.25/hr

If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how data platforms evolve to support the next generation of intelligent systems , we want to meet you.

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All JobsData Engineer JobsData Engineer Jobs in Chelsea, AL

Data Engineer information

See Chelsea, AL salary details

$40.4K

$117.6K

$160.9K

How much do data engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data engineer in Chelsea, AL is $117,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $124,700.00 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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 are Data Engineers?

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Chelsea, AL? The most popular types of Data Engineer jobs in Chelsea, AL are:
What cities near Chelsea, AL are hiring for Data Engineer jobs? Cities near Chelsea, AL with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Chelsea, AL as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $117,619 per year, or $56.5 per hour.

Cloud Data & AI Platform Engineer

Dexian DISYS

Vestavia Hills, AL • On-site

$60 - $78/hr

Other

Posted 28 days ago

Job description


Cloud Data & AI Platform Engineer
Job details
Posted
13 May 2026
Location
Vestavia Hills, AL
Reference
1003455
Job description

Cloud Data & AI Platform Engineer
Birmingham, AL
6 + Months

Hiring a hands-on engineer with expertise in Azure Databricks, Python, PySpark, and AI-enabled data workflows.

Responsibilities:
Build scalable orchestration frameworks, AI-driven pipelines, secure integrations, and optimize cloud/data platform performance within an Azure Lakehouse environment.

Skills Required:
Python, PySpark, Delta Lake
Azure Databricks, Azure Functions/Logic Apps
CI/CD (GitHub Actions/Azure DevOps)
AI/LLM workflow orchestration

Experience:
5+ years in cloud/data engineering.
Experience in regulated industries preferred.

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.
Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals.To learn more, please visit https://dexian.com/.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

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