1

Data Analytics Engineer Jobs in Alabama (NOW HIRING)

Data is trending, and at Bupa we want to utilise and develop our Analytics Product to accelerate the importance of data across our stakeholders'. The role of the Analytics Engineer will be pivotal in ...

Data is trending, and at Bupa we want to utilise and develop our Analytics Product to accelerate the importance of data across our stakeholders'. The role of the Analytics Engineer will be pivotal in ...

This position is responsible for developing advanced analytics solutions, integrating data from multiple sources, and presenting actionable insights to business and engineering leaders. The ideal ...

Job Title DATA ENGINEER/DATA ANALYST Location Huntsville, AL US (Primary) Category Engineering Job ... advanced analytics, and programmatic domains. As an employee-owned SDVOSB headquartered in ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Data Engineer - Senior Manager

Birmingham, AL ยท On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

next page

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 Jun 9, 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 the systems and infrastructure needed to collect, store, and analyze large sets of data. They work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and organized for analysis. Their responsibilities typically include building data pipelines, optimizing database performance, and ensuring data quality and security. Data Analytics Engineers play a crucial role in transforming raw data into actionable insights that drive business decisions.
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:
Infographic showing various Data Analytics Engineer job openings in Alabama as of June 2026, with employment types broken down into 61% Full Time, 33% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $117,573 per year, or $56.5 per hour.
Modeling & Simulation Automation/Data Analytics Engineer

Modeling & Simulation Automation/Data Analytics Engineer

Starfish

Redstone Arsenal, AL โ€ข On-site

$116K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Torch Technologies

Thank you for your interest in employment with Torch Technologies. We are a 100% employee-owned, Certified Great Place To Work and named Best Places to Work in Huntsville/Madison County, headquartered in Huntsville, AL. Our team provides superior research, development, and engineering services to the Federal Government and Department of War. As one of the nation's top 100 defense companies, the services we provide directly support the men and women who serve our country. Our corporate mission sums up the pride our employee-owners take in the work we do: "Lighting the Pathway of Freedom". And, as a Certified Evergreen ESOP, we have made the commitment to grow and sustain our company for the next 100 years! Come grow with us!

The Modeling & Simulation (M&S) Automation/Data Analytics Engineer supports testing of complex systems within distributed Hardware-in-the-Loop (HWIL) and cloud-based simulation environments for the Missile Defense Agency (MDA). This role focuses on automating data workflows, applying machine learning techniques, and delivering actionable insights through advanced analytics and visualization to support mission-critical software development and test events.

As a Modeling & Simulation (M&S) Automation/Data Analytics Engineer, your duties will include the following but not limited to:

  • Develop and maintain automated ETL pipelines for structured and unstructured data sources

  • Design and build dashboards and visualizations using Tableau, Power BI, or similar tools

  • Analyze large-scale and streaming datasets to identify trends, anomalies, and performance insights

  • Write, optimize, and maintain complex SQL queries and Python-based analytics workflows

  • Implement, train, evaluate, and optimize machine learning and deep learning models

  • Support automation of reporting and analytical processes to improve efficiency and timeliness

  • Collaborate with engineers, analysts, and stakeholders to define KPIs and reporting requirements

  • Ensure data integrity, quality, and consistency across analytics solutions

  • Support distributed simulation events, including occasional off-hours test activities

Required Qualifications:

  • U.S. Citizenship

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related field (equivalent professional experience considered)

  • Active SECRET security clearance with ability to obtain and maintain TS/SCI

  • Software development experience

  • Strong Python development skills

  • Experience working with large datasets and/or streaming data

  • Experience implementing, training, and evaluating ML models

  • Proficiency with deep learning frameworks such as PyTorch, TensorFlow, Keras, or Hugging Face

  • Understanding of machine learning concepts (e.g., Decision Trees, Random Forests, LSTM/sequence models)

  • Knowledge of data structures, algorithms, and performance optimization

  • Experience with Git and collaborative development workflows

Preferred Qualifications:

  • Experience with Retrieval-Augmented Generation (RAG)

  • Familiarity with Model Context Protocols (MCP) or similar agent/tool interaction frameworks

  • Experience with GPU acceleration and CUDA architecture (drivers, runtime, APIs)

  • Experience with deep learning and reinforcement learning libraries

  • Experience building or supporting real-time data pipelines

  • Experience with data visualization and exploratory analysis tools (Matplotlib, Seaborn, Plotly, etc.)

  • Familiarity with model deployment and inference optimization

  • Experience working in containerized or distributed environments

  • Experience with Linux development environments

  • Experience with Docker and containerized workflows

  • Familiarity with streaming or large-scale data processing frameworks

Schedule:M-F; 8-5

Work Location: Huntsville, AL

Travel:0-10%

Relocation Assistance Available:No

Position Contingent Upon Award of Contract:No

#LI-DK1

Benefits:

Torch Technologies is proud to offer a stable and professional work environment, a competitive salary, and an excellent, comprehensive benefit package including: ESOP participation, 401(k) match and safe-harbor contribution, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, Health Saving Accounts and Health Reimbursement Accounts, EAP, education assistance, paid time off, and holidays.

Applying to Torch Technologies:

Only those candidates invited for an interview will be contacted. Employment at Torch Technologies is contingent upon the successful completion of a comprehensive background check.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law. Torch Technologies, Inc. participates in E-Verify.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Careers Link as a result of your disability. You can request reasonable accommodations by sending an email to HR@torchtechnologies.com. Thank you for your interest in Torch Technologies.