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Remote Amazon Business Intelligence Engineer Jobs in Decatur, AL

AI Solution Engineer- Ops

Huntsville, AL · On-site +1

$121K - $169K/yr

... days remote Position Description This position supports the Golden Dome Supply Chain Enterprise ... PingWind is an SBA certified Service-Disabled Veteran-Owned Small Business (SDVOSB) with offices in ...

Business Strategy Manager

AL · Remote

$180K - $220K/yr

Taxable Entity ALUTIIQ LLC Job Title Business Strategy Manager Location AL Remote - Remote, AL ... Inputs include, but are not limited to, quantitative and qualitative intelligence used to develop a ...

... business is essential for this position. This is a remote position. #Li-Remote This role is ... Partner closely with factory proposal teams, application engineers, product managers, and Sales ...

SQL Tutor

Huntsville, AL · Remote

$18 - $40/hr

Emphasizes practical data retrieval skills and connects SQL to business intelligence, application development, and data engineering workflows. * Curriculum Awareness & Adaptive Instruction: Familiar ...

... Engineering, Information Technology, or Business Administration * 6+ years managing ServiceNow ... Experience with Performance Analytics, Predictive Intelligence, Now Assist, or generative ...

Showing results 41-60

Remote Amazon Business Intelligence Engineer information

See Decatur, AL salary details

$27

$53

$74

How much do remote amazon business intelligence engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote amazon business intelligence engineer in Decatur, AL is $53.48, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $59.71 per hour, depending on experience, location, and employer.

What does a remote Amazon Business Intelligence Engineer do?

A Remote Amazon Business Intelligence Engineer is responsible for designing, developing, and maintaining data solutions that help Amazon make data-driven decisions. They work with large datasets, build dashboards, create data models, and generate reports to support different business teams. Their role often involves using tools like SQL, Python, and AWS services to extract and analyze data. Working remotely, they collaborate with stakeholders across Amazon to deliver insights that improve processes and drive business growth.

What are the main collaboration methods for a remote Amazon Business Intelligence Engineer working with cross-functional teams?

As a Remote Amazon Business Intelligence Engineer, effective collaboration is essential, especially when working with data scientists, product managers, and software engineers across different time zones. Most communication occurs through virtual meetings, project management platforms, and regular status updates via email or chat tools. You'll often participate in sprint planning sessions, data review meetings, and code reviews to ensure data solutions align with business objectives. Building strong remote relationships and maintaining clear, proactive communication are key to overcoming the challenges of working in a distributed team environment.

What are the key skills and qualifications needed to thrive as a remote Amazon Business Intelligence Engineer, and why are they important?

To thrive as a Remote Amazon Business Intelligence Engineer, you need strong analytical skills, expertise in data modeling, and proficiency in SQL and data visualization, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with Amazon Web Services (AWS), business intelligence tools like Tableau or QuickSight, and ETL systems is commonly required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and translating business needs into actionable insights. These skills are crucial for driving data-informed decision-making and delivering impactful business solutions in a distributed work environment.

What is the difference between Remote Amazon Business Intelligence Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Business Intelligence EngineerRemote Amazon Data Analyst
Required SkillsData modeling, SQL, BI tools, AWS servicesData querying, Excel, SQL, visualization tools
Work EnvironmentCross-functional teams, cloud-based platformsData-focused roles, reporting environments
Industry UsageTech, retail, e-commerceRetail, marketing, e-commerce

The Remote Amazon Business Intelligence Engineer focuses on designing and maintaining data systems and dashboards to support business decisions, often working with cloud platforms like AWS. In contrast, the Remote Amazon Data Analyst primarily interprets data, creates reports, and provides insights. Both roles require SQL and data visualization skills but differ in scope and technical depth.

What job categories do people searching Remote Amazon Business Intelligence Engineer jobs in Decatur, AL look for?

The top searched job categories for Remote Amazon Business Intelligence Engineer jobs in Decatur, AL are:

What cities near Decatur, AL are hiring for Remote Amazon Business Intelligence Engineer jobs?

Cities near Decatur, AL with the most Remote Amazon Business Intelligence Engineer job openings:

AI Solution Engineer- Ops

PingWind

Huntsville, AL • On-site, Remote

$121K - $169K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Location: Huntsville, AL or Washington, DC
Required Clearance: TS/SCI Eligible
Required Education: HS/GED
Required Experience: Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI

Hybrid: 3 days of onsite/ 2 days remote 

Position Description

This position supports the Golden Dome Supply Chain Enterprise program by executing analytics workflows, data ingestion pipelines, and machine learning model operations within the operations and implementation branch. The engineer works under the technical direction of an Exiger AI Solution Engineer lead, executing ETL processes, analytics production runs, and pipeline maintenance that feed the program's Red Team and Blue Team analytic constructs

Responsibilities

   Execute ETL pipelines for supply chain data ingestion including customer technical data packages, transformation, and loading into the Exiger environment
   Run and monitor ML model inference jobs, flagging anomalies and performance degradation to the lead
   Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark, dbt, or equivalent)
   Produce analytics outputs that feed Red Team vulnerability assessments and Blue Team mitigation planning
   Participate in data quality validation workflows and contribute to confidence scoring documentation
   Support iterative analytics configuration releases based on Government feedback cycles
   Maintain pipeline documentation, run logs, and provenance records per program governance standards


Required Qualifications

    Minimum 4 years of experience in data science, analytics engineering, ML operations, or AI
   Proficiency in Python, SQL, and data pipeline tools (Airflow, Spark, pandas, dbt, or equivalent); working knowledge of relational and cloud data platforms (PostgreSQL, Snowflake, or equivalent)
   Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources
   Familiarity with ML model deployment and monitoring in cloud environments (AWS, Azure, or equivalent)
   Experience working under technical oversight in an integrated government delivery team
   Strong documentation practices and ability to maintain auditable process records

Desired Qualifications

   Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources
   Familiarity with ML model deployment and monitoring in cloud environments (AWS, Azure, or equivalent)
   Experience working under technical oversight in an integrated government delivery team
   Strong documentation practices and ability to maintain auditable process records

Desired Qualifications

   Experience with supply chain data, entity resolution, or risk analytics
   Familiarity with government data handling requirements (CUI, NIST 800-171)
   Experience with containerized deployments (Docker/Kubernetes)
   Experience with PostgreSQL, Snowflake, or similar cloud data warehouse platforms in production analytics environments

About PingWind

PingWind is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is an SBA certified Service-Disabled Veteran-Owned Small Business (SDVOSB) with offices in Northern Virginia and Huntsville AL.
www.PingWind.com

Our benefits include:

      Eleven Federal Holidays
      Paid Time Off accrued each pay period
      Parental Leave
      Three medical plan choices with generous employer contribution
      Dental and Vision Insurance
      Company paid Short-Term and Long-Term Disability
      Company paid Life and AD&D Insurance
      401k with competitive matching and vesting schedule 
      Continuing education assistance
      Short Term / Long Term Disability & Life Insurance
      Medical, Dependent Care and Commuter Flexible Spending Accounts
      Employee Assistance Program 
      Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass)
      529 College Savings Plan
      Legal Insurance 
      Pet Insurance

Salary Range

$121k-$169k

The pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) job responsibilities, education, certifications, experience, as well as internal equity mapping and alignment with market data, or other applicable laws.

Veterans are encouraged to apply

PingWind, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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