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Data Engineer Jobs in Montgomery, AL (NOW HIRING)

We make data actionable using effective software and measurement systems that are interconnected by ... Software Engineer (BI) Position Summary As a Business Intelligence Software Engineer, you will ...

Data Manager (MMIS)

Montgomery, AL ยท On-site

$113K - $147K/yr

Data Manager (MMIS) About the Role Conduent is seeking a Data Manager to oversee the organization ... Bachelor's degree in computer science, software engineering, information systems, or other ...

Data Manager (MMIS)

Montgomery, AL ยท On-site

$113K - $147K/yr

Data Manager (MMIS) About the Role Conduent is seeking a Data Manager to oversee the organization ... Bachelor's degree in computer science, software engineering, information systems, or other ...

We are seeking a dedicated Data Center Repair Technician to join our infrastructure engineering team. This role is focused on the physical repair and maintenance of data center hardware, including ...

We are seeking a dedicated Data Center Repair Technician to join our infrastructure engineering team. This role is focused on the physical repair and maintenance of data center hardware, including ...

We are seeking a dedicated Data Center Repair Technician to join our infrastructure engineering team. This role is focused on the physical repair and maintenance of data center hardware, including ...

TechFlow is seeking an experienced Database Engineer / Oracle Database Administrator (DBA) to ... Support ETL processes, data integration activities, and maintenance of database metadata and data ...

Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Lead Building Engineer will be a part of the Facility Operations team responsible ...

Showing results 21-40

Data Engineer information

See Montgomery, AL salary details

$44K

$128.3K

$175.5K

How much do data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data engineer in Montgomery, AL is $128,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $136,000.00 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.
What are the most commonly searched types of Data Engineer jobs in Montgomery, AL? The most popular types of Data Engineer jobs in Montgomery, AL are:
What are popular job titles related to Data Engineer jobs in Montgomery, AL? For Data Engineer jobs in Montgomery, AL, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Montgomery, AL look for? The top searched job categories for Data Engineer jobs in Montgomery, AL are:
What cities near Montgomery, AL are hiring for Data Engineer jobs? Cities near Montgomery, AL with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Montgomery, AL as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,290 per year, or $61.7 per hour.

Software Engineer (BI)

Neptune

Tallassee, AL โ€ข On-site

Full-time

Re-posted 12 days ago


Job description

Neptune Technology Group Inc. is a technology company serving more than 4,000 water utilities across North America. We make data actionable using effective software and measurement systems that are interconnected by a smart network, with expertise and experience specifically focused on the business of water. The company's story is rooted in loyalty to our customers and in sound stewardship. Neptune, as your most valued partner in water metering tools, technology, and connectivity, will connect you to what's next in water. For additional information, visit www.neptunetg.com.
Software Engineer (BI)
Position Summary
As a Business Intelligence Software Engineer, you will apply knowledge of enterprise applications and development to analyze, program, and implement Data Sourcing (ETL), Report Building, & Data Governance best practices in support of business objectives. You will be responsible for the analysis, development, testing, deployment, and post-deployment support of the ETL processes and PowerBI solutions for the Enterprise Applications & Data team. You will work closely with Product Owners to understand business requirements, design effective ETL solutions, and ensure the reliability and performance of data pipelines.
Responsibilities:
  • Understand business requirements and perform technical implementations using knowledge of enterprise applications and technical expertise.
  • Understand master data management concepts and principles.
  • Design, develop, and maintain ETL processes using SQL Server Integration Services (SSIS) for on-premises and hybrid environments.
  • Develop and optimize SSIS packages for data extraction, transformation, and loading (ETL) from various sources to target databases.
  • Implement error handling, logging, and auditing mechanisms to monitor and troubleshoot SSIS packages for data quality and integrity.
  • Design and implement data integration and orchestration workflows using Azure Data Factory (ADF) for cloud-based data solutions.
  • Perform performance tuning and optimization of ETL processes to meet scalability and performance requirements.
  • Document ETL processes, data mappings, technical specifications, and best practices for reference and future maintenance.
  • Develop PowerBI functionality to optimize, extend, and integrate enterprise applications, data, and reports.
  • Design and develop PowerBI data models, following best practices for dashboard and report creation.
  • Engage in prototyping, designing, and publishing PowerBI Reports.
  • Collaborate with Data Engineers to acquire, clean, and transform data for reporting purposes.
  • Conduct data analysis, profiling, and pattern recognition to troubleshoot and resolve data discrepancies.
  • Support QA and UAT testing activities for PowerBI solutions.
  • Participate in agile team ceremonies including sprint planning, daily stand-ups, backlog grooming, and retrospectives.
  • Stay updated on industry best practices, tools, and technologies related to ETL, data integration, and cloud-based data solutions.

Requirements:
  • 5 + years of relevant experience.
  • Strong interpersonal skills, and strong team-building skills.
  • Pragmatic problem solving and decision-making skills with excellent written and verbal communications.
  • Relentless passion and commitment to operational excellence - delivering in scope, on time, on the budget to the delight of our internal customer.
  • Experience with QAD or SAP ERP Preferred.
  • Experience with Azure or AWS Cloud Preferred.

Education:
  • Bachelor's degree in business, computer science, or a related field of study, or equivalent experience.
  • Power BI Certification (Mandatory)
  • Azure Certification (Database, AI/ML)
  • Any Cloud DB Certification

Location: Tallassee, Alabama or Duluth, Georgia, Mississauga, ON (Canada)
Physical Requirements: Sedentary Work - Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects.
Working Conditions: Generally agreeable working conditions such as those found inside offices or equivalent work areas for more than 70% of the time.
Equal Opportunity Employer EEO/AA M/F/Vet Disability
HP#1
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
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