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

Our growth means exciting career opportunities for talented professionals in engineering, software ... Hands-on experience with SAS, SQL, Amazon RDS, and JIRA. * Knowledge of ML Ops practices and model ...

Field Sales

Enterprise, AL ยท On-site

$27K/yr

Achieve monthly sales targets across high-speed data, mobile, landline phone and video services ... Must be able to work evenings and weekends, and as business needs dictate to maximize prospective ...

Achieve monthly sales targets across high-speed data, mobile, landline phone and video services ... Must be able to work evenings and weekends, and as business needs dictate to maximize prospective ...

Achieve monthly sales targets across high-speed data, mobile, landline phone and video services ... Must be able to work evenings and weekends, and as business needs dictate to maximize prospective ...

Achieve monthly sales targets across high-speed data, mobile, landline phone and video services ... Must be able to work evenings and weekends, and as business needs dictate to maximize prospective ...

Territory Sales

Enterprise, AL ยท On-site

$27K/yr

Achieve monthly sales targets across high-speed data, mobile, landline phone and video services ... Must be able to work evenings and weekends, and as business needs dictate to maximize prospective ...

Entry Level Sales

Enterprise, AL ยท On-site

$27K/yr

Achieve monthly sales targets across high-speed data, mobile, landline phone and video services ... Must be able to work evenings and weekends, and as business needs dictate to maximize prospective ...

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Weekend Amazon Data Engineer information

See Dothan, AL salary details

$40.5K

$117.9K

$161.4K

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

As of Jul 14, 2026, the average yearly pay for weekend 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 Weekend Amazon Data Engineers?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for an Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

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

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

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

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's 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 are popular job titles related to Weekend Amazon Data Engineer jobs in Dothan, AL? For Weekend Amazon Data Engineer jobs in Dothan, AL, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Dothan, AL look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Dothan, AL are:
What cities near Dothan, AL are hiring for Weekend Amazon Data Engineer jobs? Cities near Dothan, AL with the most Weekend Amazon Data Engineer job openings:
Senior Data Scientist

Senior Data Scientist

IQUASAR LLC

Fort Novosel, AL โ€ข Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago


Job description

iQuasar is seeking to fill in a Data Scientist in Reston, VA. 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, matching 401k plan, and other benefits given below, excellent training, and a vibrant working environment. Our employees are exceptional, giving us a competitive advantage by innovating solutions with a strong sense of mission and integrity.
One of our clients in Reston, VA needs a Data Scientist for a permanent position.
  • Position: Data Scientist
  • Clearance: Secret Clearance
  • Location: Reston, VA
  • Position Type: Full Time
Task Description:

This is a full-time 90% remote position, 10% to Brite's office in Reston VA.
Key Responsibilities:

  • Lead development of predictive models using deep learning and classical machine learning algorithms.
  • Build and optimize NLP models leveraging transformer-based architectures (e.g., BERT, GPT).
  • Design and implement Retrieval-Augmented Generation (RAG) approaches for LLM-based applications.
  • Work with vector databases and graph databases for knowledge representation and retrieval.
  • Generate and use simulated data to support training and testing of ML models.
  • Perform data standardization, aggregation, and integration from structured and unstructured sources.
  • Collaborate with cross-functional teams to understand business needs and translate them into ML solutions.
  • Document workflows, produce technical reports, and contribute to academic or industry publications.
  • Use version control tools to manage collaborative model development (e.g., GitHub).
  • Support end-to-end ML lifecycle from data wrangling and modeling to deployment and monitoring.

Required Qualifications:

  • Minimum 8 years of hands-on experience in AI/ML software development using Python and R.
  • Strong background in deep learning, transformer-based NLP, and classical ML.
  • Experience with RAG, LLMs, and embedding-based retrieval systems.
  • Expertise in data wrangling, Web scrapping, data standardization, and feature engineering.
  • Proven experience working with vector databases (e.g., FAISS, Pinecone, Weaviate) or graph databases (e.g., Neo4j).
  • Strong understanding of ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Familiarity with version control systems (e.g., Git, GitHub).
  • Experience with cloud computing platforms (AWS, GCP, or Azure).
  • Demonstrated ability to produce high-quality technical documentation and research publications.
  • Masterโ€™s degree or Ph.D. in Statistics, Computer Science, or a related quantitative discipline.

Preferred Qualifications:

  • ย Hands-on experience with SAS, SQL, Amazon RDS, and JIRA.
  • ย Knowledge of ML Ops practices and model deployment pipelines.
  • ย Prior experience in contributing to academic or technical publications.
  • ย Exposure to federal or enterprise-scale projects is a plus.

If you are interested in this position, please send me a copy of your latest resume. 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!ย 
  • Availability to start a new job
  • Best Rates
  • Contact

Nia
Recruitment Professional
Representing: Brite Group INC
Direct: (703) 463-9141
Main: (703) 962-6001 Ext.: 621
nia.manzoor@iquasar.com
An Equal Opportunity Employer
ย "iQuasar 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.