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Data Engineer Jobs in Madison, AL (NOW HIRING)

The Data Engineer/Data Analyst will partner with mission stakeholders, analysts, developers, and platform teams through all phases of the data and analytics lifecycle, including requirements analysis ...

Data Engineer (Senior)

Huntsville, AL · On-site

$110K - $149K/yr

Data Engineer (Senior) Location: Redstone Arsenal Position Type: Full-Time Position Overview: We are seeking a highly experienced Senior Data Engineer to lead data engineering efforts for the ...

Data Engineer (Senior)

Huntsville, AL

$110K - $149K/yr

Data Engineer (Senior) Location: Redstone Arsenal Position Type: Full-Time Position Overview: We are seeking a highly experienced Senior Data Engineer to lead data engineering efforts for the ...

Senior Data Engineer

Huntsville, AL · On-site

$104K - $141K/yr

Job Title Senior Data Engineer Location Huntsville, AL 35808 US (Primary) Category Information Technology Job Type Full-time Career Level Experienced (Non-Manager) Education High School / GED Travel ...

Data Engineer (Senior)

Huntsville, AL · On-site

$110K - $149K/yr

Data Engineer (Senior) Location: Redstone Arsenal Position Type: Full-Time Position Overview: We are seeking a highly experienced Senior Data Engineer to lead data engineering efforts for the ...

Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

R0239155 Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available ...

Data Engineer (Senior)

Huntsville, AL · On-site

$104K - $141K/yr

Data Engineer (Senior) Location: Redstone Arsenal Position Type: Full-Time Position Overview We are seeking a Senior Data Engineer to support complex data initiatives, including ETL development ...

Data Engineer- Senior

Huntsville, AL · On-site

$110K - $149K/yr

Data Engineer- Senior Position Location: Redstone Arsenal Position Type: Full-Time, On-Site Position Overview We are seeking a highly skilled Senior Data Engineer to support advanced intelligence and ...

Data Engineer (Senior)

Huntsville, AL

$104K - $141K/yr

Data Engineer (Senior) Location: Redstone Arsenal Position Type: Full-Time Position Overview We are seeking a Senior Data Engineer to support complex data initiatives, including ETL development ...

Data Engineer (Senior)

Huntsville, AL · On-site

$104K - $141K/yr

Data Engineer (Senior) Location: Redstone Arsenal Position Type: Full-Time Position Overview We are seeking a Senior Data Engineer to support complex data initiatives, including ETL development ...

Data Engineer- Senior

Huntsville, AL · On-site

$110K - $149K/yr

Data Engineer- Senior Position Location: Redstone Arsenal Position Type: Full-Time, On-Site Position Overview We are seeking a highly skilled Senior Data Engineer to support advanced intelligence and ...

Data Engineer- Senior

Huntsville, AL · On-site

$110K - $149K/yr

Data Engineer- Senior Position Location: Redstone Arsenal Position Type: Full-Time, On-Site Position Overview We are seeking a highly skilled Senior Data Engineer to support advanced intelligence and ...

Senior Data Engineer

Huntsville, AL · Hybrid

$104K - $141K/yr

As an experienced Senior 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 ...

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Showing results 1-20

Data Engineer information

See Madison, AL salary details

$39.9K

$116.2K

$159K

How much do data engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data engineer in Madison, AL is $116,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $123,200.00 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.
What are the most commonly searched types of Data Engineer jobs in Madison, AL? The most popular types of Data Engineer jobs in Madison, AL are:
What job categories do people searching Data Engineer jobs in Madison, AL look for? The top searched job categories for Data Engineer jobs in Madison, AL are:
What cities near Madison, AL are hiring for Data Engineer jobs? Cities near Madison, AL with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Madison, AL as of June 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $116,222 per year, or $55.9 per hour.

Data Engineer/Analyst

kgs

Huntsville, AL • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Koniag Management Solutions, LLC a Koniag Government Services company, is seeking a Data Engineer/Analyst with a Secret security clearance to support KMS and our government customer in Huntsville, AL. This is an onsite position. 

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.

Under the guidance of the Program Manager, the Data Engineer/Data Analyst supports data engineering, analytics, reporting, and decision-support initiatives in a secure Department of War (DoW) environment. This position is responsible for designing, building, maintaining, and optimizing data solutions primarily within the Army Vantage Platform, while also leveraging Power BI for visualization, reporting, and integration with enterprise data products.

The Data Engineer/Data Analyst will partner with mission stakeholders, analysts, developers, and platform teams through all phases of the data and analytics lifecycle, including requirements analysis, data ingestion, transformation, modeling, validation, visualization, troubleshooting, and sustainment. This role helps enable authoritative, scalable, and secure data products that improve operational insight, business intelligence, and decision-making across multiple Line of Business initiatives.

Essential Functions, Responsibilities, and Duties:

  • Analyze business requirements, functional requirements, and data specifications to design and develop scalable data and analytics solutions.
  • Design, build, and maintain data pipelines, curated data assets, analytical models, and reporting solutions within the Army Vantage Platform.
  • Develop and support dashboards, reports, workflows, and operational data products for mission and business users.
  • Leverage Power BI to create visualizations, dashboards, and executive-level reporting solutions using trusted and governed data sources.
  • Perform data transformation, cleansing, normalization, and enrichment across structured and semi-structured data sources.
  • Design and implement logical and physical data models that support reporting, analysis, and operational use cases.
  • Develop and optimize SQL queries, procedures, and transformations to support data integration and reporting requirements.
  • Troubleshoot data pipelines, analytics workflows, dashboards, and platform issues, including timely resolution of production problems.
  • Collaborate with cross-functional teams to identify, acquire, validate, and govern data from multiple authoritative sources.
  • Support data quality, data lineage, data governance, and traceability requirements across analytics solutions.
  • Prepare, model, visualize, and analyze data to provide meaningful reporting and decision-support capabilities aligned to customer and mission needs.
  • Incorporate DoW security requirements, access controls, and data protection measures into analytics and modernization efforts.
  • Participate in architecture discussions, solution reviews, and platform improvement efforts related to Army Vantage, Power BI, SQL-based systems, and enterprise data environments.
  • Develop, document, and implement data models for transactional systems, reporting solutions, dashboards, and enterprise analytics products.
  • Produce clear technical documentation, user guidance, and solution artifacts to support sustainment and knowledge transfer.
  • Communicate effectively with technical and non-technical stakeholders and deliver clear, accurate, and mission-relevant data solutions.

 

Work Experience, Knowledge, Skills, and Abilities

  • Demonstrated experience building end-to-end data and analytics solutions in:
  • data integration
  • data transformation
  • data modeling
  • data warehousing
  • analytics
  • dashboarding and reporting
  • Strong experience with Army Vantage Platform or comparable Palantir Foundry-based enterprise analytics environments.
  • Experience with Power BI, including dashboard development, semantic modeling, data shaping, DAX, and enterprise reporting.
  • Experience working with Microsoft SQL Server, relational databases, and SQL development for reporting and analytics.
  • Experience analyzing and transforming data using ETL/ELT techniques and platform-native data workflows.
  • Understanding of data governance, authoritative data sourcing, data lineage, and data stewardship principles.
  • Demonstrated understanding of database architecture design patterns and the complete application development and analytics lifecycle.
  • Ability to design solutions that provide meaningful, accurate, and mission-relevant business intelligence outputs.
  • Experience collaborating with analytics teams, application teams, and solution architects in a secure DoW environment.
  • Excellent verbal and written communication skills, strong business acumen, exceptional interpersonal capabilities, and close attention to detail.

 

Preferred Qualifications:

  • Experience building or maintaining data products, pipelines, and analytical workflows within Army Vantage.
  • Experience with Palantir Foundry concepts such as data pipelines, ontology-backed data products, lineage, governed access, and operational analytics workflows.
  • Experience integrating or consuming Army Vantage data within Power BI or similar enterprise visualization platforms.
  • Experience supporting data solutions for Army, DoW, readiness, logistics, financial, or operational mission sets.
  • Familiarity with agile delivery methodologies and iterative analytics development.
  • Experience supporting secure data environments, role-based access controls, and compliance requirements in government systems.

 

Education, Experience, Certification, and Clearance:

Required Education:

  • BS degree in Computer Science, Data Engineering, Information Systems, Management Information Systems, Data Analytics, or a related field; or possess equivalent relevant experience.

Experience:

  • Minimum of 72 months of related experience aligned to the position requirements.

Certification Requirements:

  • Must hold or obtain a CompTIA Security+ certification, or higher, prior to onboarding.
  • Must complete a computing environment certification relevant to the role within six months of onboarding. Acceptable certifications may include:
  • Microsoft PL-300: Power BI Data Analyst Associate
  • Palantir Foundry Data Analyst
  • Palantir Foundry Data Engineer
  • Palantir Foundry Aware
  • Palantir Foundry Application Developer

Clearance Requirement:

  • Active, Interim, or capable of obtaining SECRET clearance before joining.

Other Responsibilities

  • Perform other duties as assigned.

 

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352