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Remote Amazon Data Engineer Jobs in Dothan, AL (NOW HIRING)

iQuasar LLC is seeking to fill a 100% remote Senior Data Scientist position. At iQuasar, we strive ... Our growth means exciting career opportunities for talented professionals in engineering, software ...

iQuasar LLC is seeking to fill a 100% remote Senior Data Scientist position. At iQuasar, we strive ... Our growth means exciting career opportunities for talented professionals in engineering, software ...

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

Remote Amazon Data Engineer information

See Dothan, AL salary details

$40.5K

$117.9K

$161.4K

How much do remote amazon data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote amazon data engineer in Dothan, AL is $117,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $125,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Amazon Data Engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by Remote Amazon Data Engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

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

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

What are the most commonly searched types of Amazon Data Engineer jobs in Dothan, AL? The most popular types of Amazon Data Engineer jobs in Dothan, AL are:
What job categories do people searching Remote Amazon Data Engineer jobs in Dothan, AL look for? The top searched job categories for Remote Amazon Data Engineer jobs in Dothan, AL are:
What cities near Dothan, AL are hiring for Remote Amazon Data Engineer jobs? Cities near Dothan, AL with the most Remote Amazon Data Engineer job openings:
Senior Data Scientist

Senior Data Scientist

iQuasar LLC

Fort Novosel, AL • On-site, Remote

$90/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 6 days ago


Job description

iQuasar LLC is seeking to fill a 100% remote Senior Data Scientist position. At iQuasar, we strive to provide the next generation of cutting-edge technologies. Our growth means exciting career opportunities for talented professionals in engineering, software development, and other key areas. We offer competitive compensation and benefits including Health, Vision, and Dental Insurance, a matching 401k plan, and other benefits given below, excellent training, and a vibrant working environment. Our exceptional employees give us a competitive advantage by innovating solutions with a strong sense of mission and integrity.
One of our clients inneeds a Senior Data Scientist for a contract role.
Position: Senior Data Scientist
Location: Remote
Position Type: Contract
Work Authorization: US Citizen (Ability to obtain Public Trust)
Position Requirements:
• Master's degree, PhD preferred in Statistics, Mathematics, or a related quantitative field, with 5-8+ years of applied data science experience
• Mastery of Python or R, statistical tools such as Stata, SAS and strong SQL
• Expertise with ML algorithms (e.g. model selection, evaluation, feature engineering, etc.)
• Expertise with application of AI to deliver insights with optimal performance, cost savings, etc. using structured, unstructured data
• Expertise with data visualization tools (e.g. Tableau, Matplotlib)
• Experience processing large datasets, deploying LLMs in government cloud data platforms (e.g. Azure ADLS/Databricks/Azure ML, or equivalents)
• Comparative understanding of LLMs (e.g. Claude Code, ChatGPT), and tradeoffs in terms of capabilities, cost, and performance
• Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges
• Exceptional verbal and written communication skills and a bias toward rigor, clarity, and defensibility over black-box modeling are essential
• Familiarity with FISMA/NIST/Zero Trust security frameworks
• Current Principal Data Scientist (PDS) Certification
If you are interested in this posistion, please send me a copy of your latest resume at with the information requested below: Also, please let me know what time/number is best to call to discuss this great opportunity. In case you are not interested in this position, or this is not the right fit for you, please feel free to share this opportunity with your friends/networks or anyone you know who may be interested in this position. Thank you!
• Availability to start a new job.
• Best Rates
• Contact #
Please don't hesitate to contact me for any question (s) you may have. All employment is decided on the basis of qualifications, merit, and business need.
Best Regards,
Khalid Banday
Sr. Recruitment Professional
iQuasar, LLC6 Pidgeon Hill Drive, Suite 305,
Sterling, VA 20165
Direct:(703) 552-8240
Main: (703) 962-6001 Ext. 604
An Equal Opportunity Employer:
iQuasar, LLC is proud to be an Equal Employment Opportunity Employer. We do not discriminate based on race, religion, color, national origin, political affiliation, sex, sexual orientation, gender identity, age, marital/parental /veteran status, disability, genetic information, membership in an employee organization, retaliation, military service, other non-merit factors, or any other applicable characteristics protected by law.
This is a remote position.
Compensation: $90.00 per hour