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Data Engineer Jobs in Chelsea, AL (NOW HIRING)

Urology Centers of Alabama

Data Engineer

Birmingham, AL

$107K - $128K/yr

General Summary The Healthcare Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and analytics infrastructure for Urology Centers of Alabama, P.C. This ...

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: Southern Company Services. Position Overview The Data Engineer III is responsible for designing ...

4pconsultinginc

Data Engineer II

Birmingham, AL · On-site

$107K - $128K/yr

Data Engineer II Location- Birmingham, AL( ONSITE) Client- Southern Company Services. The ideal candidate has strong expertise in SQL, data modeling, and big data tools such as Spark, Hive, and ...

PNC Financial Services Group

Data Engineer

Birmingham, AL · Hybrid

$86K - $172K/yr

As a Data Engineer within PNC's Data Analytics Team, you will be based in Cleveland OH, Pittsburgh PA, Birmingham AL or Dallas TX. - In-office expectations: 5 days-a-week. - Should be comfortable ...

New

PNC Bank

Data Engineer

Birmingham, AL · Hybrid

$86K - $172K/yr

As a Data Engineer within PNC's Data Analytics Team, you will be based in Cleveland OH, Pittsburgh PA, Birmingham AL or Dallas TX. - In-office expectations: 5 days-a-week. - Should be comfortable ...

New

4P Consulting Inc.

Data Engineer

Birmingham, AL

$107K - $128K/yr

We are looking for a highly skilled Data Engineer to join our team. The ideal candidate will have a strong background in data management, SQL, Python, and data visualization tools like Power BI. With ...

Pwc

Data Engineer - Manager

Birmingham, AL

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Manager

Birmingham, AL

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Birmingham, AL

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Spire

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

Spire is seeking to fill a Data Engineer III position. This role is a primary contributor and designer of the overall Spire data warehouse, data ETL processes and analytics data model and ...

GPC - Genuine Parts Company

Data Engineer IV

Birmingham, AL · On-site

$107K - $128K/yr

The Data Engineer IV performs complex data operations focusing on transformation and quality include designing and building data pipelines for ETL (Extract, Transform, Load) processes, cleaning and ...

Genuine Parts Company

Data Engineer IV

Birmingham, AL · On-site

$107K - $128K/yr

The Data Engineer IV performs complex data operations focusing on transformation and quality include designing and building data pipelines for ETL (Extract, Transform, Load) processes, cleaning and ...

Pwc

Data Engineer - Manager

Birmingham, AL

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Mobile Gas Service

Data Engineer III

Birmingham, AL

$107K - $128K/yr

Summary Spire is seeking to fill a Data Engineer III position. This role is a primary contributor and designer of the overall Spire data warehouse, data ETL processes and analytics data model and ...

Spire, Inc.

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

Summary Spire is seeking to fill a Data Engineer III position. This role is a primary contributor and designer of the overall Spire data warehouse, data ETL processes and analytics data model and ...

Spire Inc.

Data Engineer III

Birmingham, AL

$107K - $128K/yr

Summary Spire is seeking to fill a Data Engineer III position. This role is a primary contributor and designer of the overall Spire data warehouse, data ETL processes and analytics data model and ...

Kemper

Senior Data Engineer

Birmingham, AL

$99K - $135K/yr

Provide technical leadership to data engineers, setting standards for solution design, coding practices, data governance, and quality. * Define and evolve the enterprise data ...

PNC Bank

Data Engineer Assoc

Birmingham, AL · On-site +1

$91K - $202K/yr

As an Data Engineer Associate for PNC's Security Analytics Hub, you will have the opportunity to work fully remote. Our team focuses on producing data driven insights into multiple areas of risk ...

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Showing results 1-20

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 14, 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.
Data Engineer

Data Engineer

Urology Centers of Alabama

Birmingham, AL

$107K - $128K/yr

Other

Posted 12 days ago

Job description

General Summary

The Healthcare Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and analytics infrastructure for Urology Centers of Alabama, P.C. This role ensures the reliable integration of clinical, revenue cycle, and operational data from multiple systems to support reporting, analytics, compliance, and strategic decision-making across the organization. The Data Engineer partners closely with clinical, revenue cycle, finance, and IT teams to ensure data accuracy, availability, and security in a regulated healthcare environment.

Essential Functions

  1. Data Architecture & Engineering
  2. Design, develop, and maintain data pipelines that integrate data from EMRs, practice management systems, billing platforms, payer files, and ancillary systems
  3. Build and manage data warehouses, data marts, and structured datasets to support clinical, financial, and operational reporting
  4. Optimize data performance, reliability, and scalability across analytics platforms
  5. Healthcare Systems Integration
  6. Extract, transform, and load (ETL) data from healthcare systems including EMR, revenue cycle, scheduling, and financial systems
  7. Ensure accurate mapping of clinical and financial data elements such as CPT, ICD-10, HCPCS, modifiers, charges, payments, and adjustments
  8. Support interoperability standards such as HL7, FHIR, and flat-file payer feeds where applicable
  9. Data Quality, Governance & Compliance
  10. Implement data validation, auditing, and reconciliation processes to ensure data integrity across systems
  11. Partner with Revenue Cycle, Compliance, and Clinical teams to support auditing, reimbursement analysis, and regulatory reporting
  12. Ensure data security, access controls, and HIPAA compliance across all data environments
  13. Analytics & Reporting Enablement
  14. Enable dashboards and reporting for key performance areas including revenue cycle performance, provider productivity, quality metrics, and operational efficiency
  15. Support advanced analytics initiatives such as denial analysis, reimbursement variance tracking, capacity utilization, and physician performance reporting
  16. Collaborate with analysts and business stakeholders to translate reporting needs into scalable data solutions
  17. Collaboration & Continuous Improvement
  18. Work closely with IT, EMR administrators, vendors, and business leaders to support system upgrades and new implementations
  19. Document data models, pipelines, and data definitions to support transparency and sustainability
  20. Identify opportunities to automate manual reporting and improve data accessibility across Urology Centers of Alabama, P.C.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is occasionally required to stand; walk; sit, handle, or feel objects, tools, or controls; reach with hands and arms; stoop, kneel, crouch, or crawl; and talk or hear.  The employee must occasionally lift and/or move more than 45 pounds.

Supervisory Requirements

            This position will not supervise employees.

Minimum Qualifications

  1. Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (required)
  1. Healthcare analytics or informatics education preferred
  1. 3–7 years of experience in data engineering or analytics engineering
  2. Experience working with healthcare data, preferably in a physician practice or multi-specialty environment
  3. Hands-on experience integrating EMR and revenue cycle data

Preferred Qualifications

  1. Strong SQL skills and experience with relational databases (e.g., SQL Server, PostgreSQL, Oracle)
  2. Experience with ETL tools and data pipeline frameworks
  3. Familiarity with cloud data platforms (Azure, AWS, or GCP preferred)
  4. Experience with healthcare data standards (CPT, ICD-10, HL7, FHIR)
  5. Knowledge of BI tools (Power BI, Tableau, or similar)

Licensure, Certification, Registration Requirements

            None.

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