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Remote Analytics Engineer Jobs in Alabama (NOW HIRING)

Tetra Tech

Civil Engineer I

Huntsville, AL · On-site +1

... engineering analyses. Projects will span a diverse client base, including commercial, municipal ... This is a remote opportunity. Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve ...

New

Maximus

Assoc SW Engineer - Java, Spring Boot, AWS

Mobile, AL · Remote

$51.25 - $70.50/hr

This is a remote position. Essential Duties and Responsibilities: - Design systems and programs to ... Analyze and gather information from existing systems. - Explore new technologies and design ...

PingWind

AI Solution Engineer-Platform

Huntsville, AL · On-site +1

Minimum 4 years of experience in data engineering, ML engineering, or analytics platform development Hybrid: 3 days of onsite/ 2 days remote Position Description: This position focuses on AI/ML and ...

DISHER

Vision Engineer

Tuscaloosa, AL · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

DISHER

Vision Engineer

Montgomery, AL · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Deloitte

Hospital Billing Analyst

Huntsville, AL · Remote

$47.30K - $63.10K/yr

This is a primarily remote role supporting an enterprise Epic implementation, with minimal travel ... Work you'll do As an Epic Hospital Billing Analyst on the AI & Engineering team, you will be ...

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Remote Analytics Engineer information

See Alabama salary details

$41.2K

$84.5K

$122.8K

How much do remote analytics engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote analytics engineer in Alabama is $84,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $107,000.00 per year, depending on experience, location, and employer.

What is a Remote Analytics Engineer job?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Analytics Engineer position, and why are they important?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the main challenges faced by Remote Analytics Engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.
More about Remote Analytics Engineer jobs
What are the most commonly searched types of Analytics Engineer jobs in Alabama? The most popular types of Analytics Engineer jobs in Alabama are:
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What cities in Alabama are hiring for Remote Analytics Engineer jobs? Cities in Alabama with the most Remote Analytics Engineer job openings:
Remote Analytics Engineer jobs near you
AI/ML Software Engineer

AI/ML Software Engineer

Frontier Technology Inc.

Huntsville, AL • Remote

$140K - $220K/yr

Full-time

Posted 10 days ago

Job description

Overview

Frontier Technology Inc. (FTI) is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments.

FTI delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology.

Responsibilities

Software Design & Development

  • Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
  • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
  • Write clean, testable, and maintainable code following secure coding and software engineering best practices.
  • Build and integrate modular microservices to improve scalability, maintainability, and interoperability.

Cloud & Containerized Environments

  • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
  • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
  • Contribute to secure deployments across hybrid or disconnected environments (IL4-IL6, AWS GovCloud, or on-prem).

Systems Integration & Distributed Computing

  • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
  • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
  • Collaborate with system engineers and architects to ensure interoperability across software ecosystems.

Data & Analytics Integration

  • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
  • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
  • Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.

Security, Testing & Sustainment

  • Write, test, and deploy software within secure or classified environments.
  • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
  • Support the transition of prototypes to operational systems, focusing on maintainability and observability.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
  • 6-10+ years of professional software engineering experience.
  • 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments.
  • Strong full-stack or systems engineering background.
  • Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.
  • Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
  • Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
  • Experience developing or integrating analytics and AI models into production systems.

 Preferred Qualifications:

  • Experience deploying code in IL4-IL6 or edge/disconnected environments.
  • Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
  • Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range is $140k-$220k.

*Note: Starting pay will be based on a number of factors and commensurate with the candidate's residence location, qualifications & experience.

#LI-SB1

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Employment Type: FULL_TIME

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