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Data Engineer Jobs in Hoover, AL (NOW HIRING)

Urology Centers of Alabama

Data Engineer

Homewood, AL · On-site

$85 - $110/hr

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 ...

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 ...

Urology Centers of Alabama, P.C.

Data Engineer

Homewood, AL · On-site

$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 ...

Mindlance

Data Engineer 3

Birmingham, AL · On-site

$107K - $128K/yr

Mindlance is a company focused on data solutions, and they are seeking a Data Engineer 3 to manipulate and manage data in various systems. The role involves constructing datasets, normalizing ...

Epitec

Data Engineer III

Birmingham, AL · On-site

$60 - $70/hr

Job #106365 REMOTE OPPORTUNITY Senior Data Engineer | Financial Services | Hybrid Pay Rate: $60-$70.00/hr, Must be able to work in EST or CST timezone. W2 only I'm working with a leading financial ...

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 ...

4P Consulting Inc.

Data Engineer

Birmingham, AL · On-site

$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 - 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 ...

Deloitte

Data Engineer II

Birmingham, AL · On-site

$107K - $128K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

PTR Global

Data Engineer III

Birmingham, AL · On-site

$60 - $65/hr

Data Engineer III Location: Birmingham, Alabama Duration: Contract Job ID: 179281 Job Overview: The Data Engineer III focuses on the evaluation, design, and execution of data structures, processes ...

Mobile Gas Service

Data Engineer II

Birmingham, AL · On-site

$107K - $128K/yr

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

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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 Sep 3, 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 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 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 are popular job titles related to Data Engineer jobs in Hoover, AL?

For Data Engineer jobs in Hoover, AL, the most frequently searched job titles 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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $114,452 per year, or $55 per hour.

Data Engineer

Urology Centers of Alabama

Homewood, AL • On-site

$85 - $110/hr

Other

Re-posted 29 days ago

Job description

Job Details

Job Location: Homewood Central - Homewood, AL 35209

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

QualificationsMinimum Qualifications
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (required)
  • Healthcare analytics or informatics education preferred
  • 3–7 years of experience in data engineering or analytics engineering
  • Experience working with healthcare data, preferably in a physician practice or multi-specialty environment
  • Hands‑on experience integrating EMR and revenue cycle data
Preferred Qualifications
  • Strong SQL skills and experience with relational databases (e.g., SQL Server, PostgreSQL, Oracle)
  • Experience with ETL tools and data pipeline frameworks
  • Familiarity with cloud data platforms (Azure, AWS, or GCP preferred)
  • Experience with healthcare data standards (CPT, ICD-10, HL7, FHIR)
  • Knowledge of BI tools (Power BI, Tableau, or similar)
Licensure, Certification, Registration Requirements

None.

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