ZipRecruiter

Log In

1

Data Analytics Engineer Jobs in Alabama (NOW HIRING)

Trideum Corporation

Analytics Engineer

Huntsville, AL · On-site

Position Summary The Analytics Engineer will play a pivotal role in establishing the foundation for data-driven decision-making, business process digitalization and enterprise-wide technology ...

Trideum Corporation

Analytics Engineer

Huntsville, AL · 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 ...

Trideum

Analytics Engineer

Huntsville, AL · On-site

Position Summary The Analytics Engineer will play a pivotal role in establishing the foundation for data-driven decision-making, business process digitalization and enterprise-wide technology ...

Deploy

Data, Analytics & AI Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Data, Analytics & AI Engineer Help Build the Future of Data, Analytics & AI Are you passionate about data engineering, analytics, and artificial intelligence? Do you love solving complex business ...

Five Star Credit Union

Analytics Engineer

Dothan, AL · On-site

$85K - $120K/yr

Data and Analytics Classification: Exempt/Grade 13 REPORTING RELATIONSHIPS Position Reports To: CDO - Chief Data Officer Positions Supervised: None All team members work toward a common purpose ...

next page

Showing results 1-20

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Alabama

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 Sep 11, 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:

What are popular job titles related to Data Analytics Engineer jobs in Alabama?

For Data Analytics Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Alabama look for?

The top searched job categories for Data Analytics Engineer jobs in Alabama are:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Alabama as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $117,573 per year, or $56.5 per hour.

Principal Data Analytics Engineer

Huntsville, AL • On-site

Modern Technology Solutions, Inc.
Engineering Professional Services • 501 - 1,000 employees
Learn more about Modern Technology Solutions, Inc.external

Full-time

Posted 22 days ago

Job description

MTSI is seeking a highly motivated, independent engineer to serve as a program scheduler and data visualization expert, developing advanced analytical tools and robust management dashboards for multiple, simultaneous complex programs. This position requires a proactive, selfdirected professional who excels at taking highlevel objectives and independently producing fully developed, technically sound tools and solutions. Responsibilities The Principal Data Analytics Engineer will serve as a senior technical authority responsible for analytical tool development to enable enterprise data visualization efforts.

Duties include: Leveraging the MDA instantiation of Palantir's "Foundry" software to develop sophisticated analytical tools and interactive dashboards, converting complex datasets into clear, actionable executivelevel visual products Designing, building, and maintaining scalable scheduling and analytical tools enabling continuous tracking and optimization Providing periodic database management support Operating independently translating abstract, highlevel objectives into complete, functioning tools without stepbystep guidance Basic Qualifications US Citizenship Master's degree in a STEM field and 12+ years of engineering experience. Alternatively: Bachelor's degree in STEM and 20+ years of experience may be considered Ability to develop analytical and visualization tools Ability to work proactively and independently with minimal supervision Active security clearance at the required level (e.g., TS/SCI) or ability to obtain this clearance Preferred Qualifications Experience supporting database administration Experience with Palantir's AI-based software development environments Strong ability to synthesize technical data into executivelevel products Familiarity with missile defense or other complex DoD program environments #LI-JJ1

Apply