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Data Analytics Engineer Jobs in Alabama (NOW HIRING)

Peraton

Data and Analytics Engineer

Huntsville, AL

$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 role is critical to the ...

Peraton

Data and Analytics Engineer

Huntsville, AL

$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 role is critical to the ...

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 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

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 ...

Deploy

Data, Analytics & AI Engineer

Birmingham, AL

$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 ...

Landing

Senior Analytics Engineer

Birmingham, AL · On-site

$97K - $134K/yr

We're a data-driven PropTech company and our BI team is the analytical backbone of the business ... Analytics engineering standards, tooling decisions, and the long-term roadmap of our data platform.

Landing

Senior Analytics Engineer

Birmingham, AL · On-site

$97K - $134K/yr

We're a data-driven PropTech company and our BI team is the analytical backbone of the business ... Analytics engineering standards, tooling decisions, and the long-term roadmap of our data platform.

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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 Jul 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.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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 systems 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 deliver actionable insights.
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 July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $117,573 per year, or $56.5 per hour.
Senior Supply Chain Risk Analytics Engineer

Senior Supply Chain Risk Analytics Engineer

QED Analytics Inc

Huntsville, AL • On-site

Other

Re-posted 25 days ago

Job description

Description

Senior Supply Chain Risk Analytics Engineer / Analyst


Overview


We are seeking a highly skilled Senior Supply Chain Risk Assessment Engineer / Analyst to support the development, enhancement, and operation of a government-focused supply chain risk assessment capability. This role blends data analytics, system architecting, risk analysis, and stakeholder collaboration in a secure, mission-focused environment.


Key Responsibilities

Supply Chain Risk Analytics & Domain Expertise:

- Analyze defense industrial base and supply chain risk across foreign influence, cyber vulnerability, and financial security.

- Apply structured risk management principles and communicate findings and data limitations.

Data Management & ETL:

- Lead ETL efforts that integrate government and commercial datasets.

- Ensure data quality, traceability, and proper handling of sensitive information.

System Architecture & Platform Migration:

- Support design and evolution of government-developed analytics tools.

- Support migration to enterprise analytics platforms.

Visualization & Reporting:

- Develop dashboards, geo-maps, and supply chain visualizations.

- Produce standardized analytical reports and data exports.

Required Qualifications

- Bachelor's degree in engineering, data science, computer science, or related field.

- Proficiency in data analytics software (Excel, Access, Power BI).

- Significant experience in supply chain risk assessment and data analytics, including company and industry analysis.

- Experience working in government or defense environments.

- Active SECRET clearance or ability to be granted an Interim SECRET within 30 days.

Preferred Qualifications

- Advanced degree strongly preferred.

- Programming experience (Python, C++, R, etc)

- Familiarity with use of AI for research and software coding.

- TS clearance or ability to be granted a TS clearance.

Soft Skills

- Strong analytical and communication skills.

- Ability to work with ambiguous data and complex stakeholder environments.

- Self-starter who seeks innovative solutions to new and evolving problems.

Requirements

Required Qualifications

- Bachelor's degree in engineering, data science, computer science, or related field.

- Proficiency in data analytics software (Excel, Access, Power BI).

- Significant experience in supply chain risk assessment and data analytics, including company and industry analysis.

- Experience working in government or defense environments.

- Active SECRET clearance or ability to be granted an Interim SECRET within 30 days.

Apply