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Data Analytics Engineer Jobs in Alabama (NOW HIRING)

Data Analytics Engineer

Huntsville, AL · On-site

$80K - $128K/yr

Responsibilities The Project Management Office for Aircraft Survivability Equipment (PMO ASE) is seeking a highly motivated and analytical Data and Analytics Engineer. This position is and on-site ...

Data Analytics Engineer

Huntsville, AL · On-site

$80K - $128K/yr

Responsibilities The Project Management Office for Aircraft Survivability Equipment (PMO ASE) is seeking a highly motivated and analytical Data and Analytics Engineer. This position is and on-site ...

Data Analytics Engineer

Huntsville, AL · On-site

$80K - $128K/yr

Responsibilities The Project Management Office for Aircraft Survivability Equipment (PMO ASE) is seeking a highly motivated and analytical Data and Analytics Engineer. This position is and on-site ...

Analytics Engineer Full-time Huntsville, AL About Us Trideum Corporation is a 100% employee-owned ... You will work closely with data scientists, systems evaluation engineers, and enterprise architects ...

Analytics Engineer Full-time Huntsville, AL About Us Trideum Corporation is a 100% employee-owned ... You will work closely with data scientists, systems evaluation engineers, and enterprise architects ...

Analytics Engineer Full-time Huntsville, AL About Us Trideum Corporation is a 100% employee-owned ... You will work closely with data scientists, systems evaluation engineers, and enterprise architects ...

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Showing results 1-20

Data Analytics Engineer information

See Alabama salary details

$40.3K

$117.6K

$160.9K

How much do data analytics engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data analytics engineer in Alabama is $117,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $124,600.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Alabama?

The most popular types of Data Analytics Engineer jobs in Alabama are:

Infographic showing various Data Analytics Engineer job openings in Alabama as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 100% In-person job distribution, with an average salary of $117,573 per year, or $56.5 per hour.

Data Analytics Engineer

Peraton

Huntsville, AL • On-site

$80K - $128K/yr

Full-time

Posted 9 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

51st of 224 rated it services


Job description

Responsibilities
The Project Management Office for Aircraft Survivability Equipment (PMO ASE) is seeking a highly motivated and analytical Data and Analytics Engineer. This position is and on-site role located in Huntsville, AL
This role is critical to the development, testing, and fielding of advanced survivability systems that protect Army aviators and rotary-wing aircraft from emerging global threats.
Key Responsibilities
  • Data Analysis & Modeling: Perform rigorous statistical data analysis on complex datasets derived from lab, flight, and field testing of ASE systems (e.g., missile warning systems, laser detection systems, and infrared countermeasures).
  • Physics & Optics Application: Apply principles of physics and optics to evaluate the performance of electro-optical/infrared (EO/IR) sensors, laser warning receivers, and directed energy countermeasures against simulated and live threats.
  • Test & Evaluation Support: Travel to support developmental and operational testing. Ensure data collection methodologies are sound and that data pipelines from test events are established and maintained.
  • Algorithm Evaluation: Analyze and validate threat detection algorithms, tracking software, and countermeasure dispensing logic using historical and newly collected test data.
  • Reporting & Visualization: Develop data visualization dashboards and comprehensive technical reports to communicate system performance, anomalies, and risk assessments to PM ASE leadership and stakeholders.
  • Cross-Functional Collaboration: Work closely with systems engineers, flight test crews, software developers, and industry partners to translate data insights into actionable system improvements.

Qualifications
What you'll need:
  • Education: 2 years with BS/BA degree
  • Clearance: US Citizenship required with the ability to obtain a DoD Secret clearance
  • Experience with data analysis and scientific computing tools (e.g., MATLAB, Python, R, or similar) to process large datasets, perform statistical modeling, and generate data visualizations.
  • Must be local to the Huntsville, AL area to be considered

Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$80,000 - $128,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017