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Data Engineer Jobs in Chelsea, AL (NOW HIRING)

Urology Centers of Alabama

Data Engineer

Homewood, 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 ...

Motion

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

The Data Engineer will develop and maintain ETL processes, ensuring accurate and accessible financial data while collaborating with various stakeholders to enhance reporting efficiency and support ...

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 ...

Genuine Parts Company

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

Working within the Finance Data Team, the Data Engineer develops modern data pipelines inside of cloud-based data platforms to provide financial business intelligence and enable data-driven decision ...

Bespoke Labs

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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 ...

PNC Bank

Data Engineer Sr

Birmingham, AL · On-site

$107K - $128K/yr

As a Senior Data Engineer at PNC you will have the following responsibilities: Key responsibilities - - Design, Develop and maintain scalable and efficient data pipelines and ETL processes ...

GPC - Genuine Parts Company

Data Engineer IV

Birmingham, AL

$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 · On-site

$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 ...

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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 Jul 19, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
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Data Engineer jobs near you
Data Engineer

Data Engineer

Urology Centers of Alabama

Homewood, 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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