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Senior Data Engineer Jobs in Decatur, AL (NOW HIRING)

Senior Data Analyst

Huntsville, AL ยท On-site

$89K - $112K/yr

ProLog, Inc. is seeking a Senior Data Analyst to lead data analytics and predictive modeling ... Coordinate with internal software developers to integrate analytical algorithms into custom web ...

Data Engineer with Security Clearance

Huntsville, AL ยท On-site

$113K - $136K/yr

Opportunity PeopleTec is currently seeking a Senior Data Engineer to support our Huntsville, AL location. Job Functions: * Responsible for carrying out engineering tasks to deliver an advanced visual ...

SENIOR DATA ARCHITECT

Huntsville, AL ยท On-site

$120 - $155/hr

SENIOR DATA ARCHITECT Full Time HUNTSVILLE, AL, US 7 days ago Requisition ID: 1451 Overview ... Collaborate with security, compliance, engineering, and analytics teams to translate risk ...

Senior Data Architect

Redstone Arsenal, AL ยท On-site

$68.75 - $91.75/hr

ASRC Federal is looking for an experienced Data Architect - Senior to support their work with the U ... The Data Architect will lead enterprise-scale data initiatives by collecting, engineering, and ...

Senior Data Architect

Redstone Arsenal, AL

$68.75 - $91.75/hr

ASRC Federal is looking for an experienced Data Architect - Senior to support their work with the U ... The Data Architect will lead enterprise-scale data initiatives by collecting, engineering, and ...

Senior Cloud Data Engineer

Redstone Arsenal, AL ยท On-site

$57 - $76/hr

Senior Cloud Data Engineer Full-time Redstone Arsenal, AL About Us Trideum Corporation is a 100% employee-owned company, committed to embracing the worlds toughest challenges with a servants heart.

Senior Cloud Data Engineer

Huntsville, AL ยท On-site

$58 - $77.50/hr

Senior Cloud Data Engineer Full-time Redstone Arsenal, AL About Us Trideum Corporation is a 100% employee-owned company, committed to embracing the world's toughest challenges with a servant's heart.

Senior Associate, Data Architect

Huntsville, AL ยท On-site

$62.75 - $83.75/hr

Senior Associate, Data Architect Job Code: 40398 Job Location:Huntsville, AL Job Schedule: 9/80 ... To be eligible, applicants must be pursuing amaster's degree inSystems Engineering, Electrical ...

Senior Data Architect

Huntsville, AL ยท On-site

$140 - $160/hr

To support this mission, we are seeking a Senior Data Architect to lead the development of ... Provide daily supervision, mentorship, and technical direction to support staff and engineering ...

Senior Data Architect

Huntsville, AL ยท On-site

$64 - $85.75/hr

To support this mission, we are seeking a Senior Data Architect to lead the development of ... Provide daily supervision, mentorship, and technical direction to support staff and engineering ...

Showing results 41-60

Senior Data Engineer information

See Decatur, AL salary details

$75.9K

$118.4K

$164.1K

How much do senior data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior data engineer in Decatur, AL is $118,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Decatur, AL?

The most popular types of Data Engineer jobs in Decatur, AL are:

What job categories do people searching Senior Data Engineer jobs in Decatur, AL look for?

The top searched job categories for Senior Data Engineer jobs in Decatur, AL are:

What cities near Decatur, AL are hiring for Senior Data Engineer jobs?

Cities near Decatur, AL with the most Senior Data Engineer job openings:

Infographic showing various Senior Data Engineer job openings in Decatur, AL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 2% Temporary, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $118,427 per year, or $56.9 per hour.

Senior Data Scientist

Capstone Research Corporation

Huntsville, AL โ€ข On-site

Full-time

Medical, Dental, Vision

Posted 2 days ago

New


Job description

Senior Data Scientist

Capstone Research Corporation is seeking to expand our team. We are a customer-oriented engineering services company providing world-class research and development support to the Department of War (DoW) including the Army, Navy, Air Force, Marines, Missile Defense Agency, and the Office of the Secretary of War. We pride ourselves on providing high-level engineering in a customer-oriented, ethical approach. Capstone offers 100% Company Provided Medical, Dental, and Vision Insurance as part of our top-notch benefits package.

We have an immediate opening for a Senior Data Scientist in our Huntsville, AL office to support the development of next-generation defense capabilities through mission-focused operational analysis, technical studies, and solution architecture. Working closely with Department of War (DoW) customers, the successful candidate will analyze complex multi-domain operational challenges, develop innovative concepts and requirements, and evaluate mission-level solutions that improve command and control, integrated fires, and decision superiority across joint and coalition operations.

Key Responsibilities:

  • Develop and maintain scalable RAG pipelines that integrate vector search, retrieval systems, and cyber domainspecific information sources.
  • Ensure models can process large volumes of logs, indicators of compromise (IOCs), and behavioral telemetry to predict emerging cyber risks.
  • Continuously refine embeddings, indexing strategies, and retrieval mechanisms for accuracy, latency, and completeness.
  • Design, develop, and execute cyber analysis and assessment plans, procedures, and analytical methodologies for DoW programs.
  • Develop automated analysis tools using MATLAB, Python, and related scripting languages to process, analyze, and visualize large volumes of cyber and system performance data.
  • Develop metrics, dashboards, and reports that communicate test results, operational effectiveness, and technical findings to government stakeholders.
  • Analyze system logs, network traffic, telemetry, and sensor data to identify trends, anomalies, and indicators of cyber threats.
  • Collaborate with software developers, systems engineers, cyber engineers, and government customers to define developmental assessment objectives and validate system performance.
  • Support modeling, simulation, and analytical activities to assess cyber impacts on mission effectiveness.
  • Prepare technical documentation including test plans, procedures, analysis reports, briefings, and recommendations.
  • Participate in design reviews, technical interchange meetings, and customer briefings.
  • Support continuous improvement of cyber testing methodologies, automation frameworks, and analytical capabilities.

Qualifications:

  • Bachelor's degree in Computer Science, Cybersecurity, Computer Engineering, Electrical Engineering, Mathematics, Data Science, Systems Engineering, or a related technical discipline.
    • Equivalent combinations of education, military experience, and directly relevant professional experience will be considered.
  • Minimum 5 years of professional experience supporting AI development, cyber testing, cybersecurity analysis, systems analysis, software testing, or related DoW technical programs.
  • Demonstrated proficiency with data analysis, algorithm development, or engineering analysis.
  • Programming experience using for automation, scripting, data processing, and analytical tool development.
  • Experience working with relational databases and SQL, including data extraction, manipulation, and reporting.
  • Strong understanding of statistical analysis, quantitative methods, and analytical techniques.
  • Experience analyzing large datasets and presenting technical findings using charts, visualizations, and technical reports.
  • Familiarity with cyber assessment methodologies, cybersecurity principles, and network architectures.
  • Experience working in Linux and Windows environments.
  • Strong written and verbal communication skills with the ability to present technical information to both technical and non-technical audiences.
  • Ability to work independently while contributing effectively within multidisciplinary engineering teams.
  • Active Secret security clearance.

Desired Qualifications:

  • TS/SCI security clearance or current SCI eligibility.
  • Master's degree in Cybersecurity, Computer Science, Data Analytics, Systems Engineering, or a related field.
  • Experience supporting Missile Defense Agency (MDA), Army, Navy, Air Force, Space Force, or other Department of War cyber programs.
  • Experience supporting cyber test ranges, cyber exercises, or operational test events.
  • Familiarity with offensive and defensive cyber operations concepts.
  • Experience with packet analysis and Security Information and Event Management (SIEM) tools.
  • Experience using cybersecurity frameworks including MITRE ATT&CK, NIST Cybersecurity Framework, RMF, or DoW cyber standards.
  • Experience with databases such as SQL Server, MySQL, or Oracle.
  • Knowledge of cloud computing environments and container technologies (Docker, Kubernetes).
  • Experience using version control systems such as Git.
  • Familiarity with machine learning, artificial intelligence, or advanced statistical modeling techniques.
  • Professional certifications such as Security+, CySA+, CISSP, CEH, GIAC, GSEC, or related cybersecurity certifications.
  • Experience supporting Agile software development and DevSecOps environments.