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Temporary Amazon Data Engineer Jobs in Huntsville, AL

Amentum

Cloud Developer (SME1)

Huntsville, AL · On-site

$55.50 - $75.75/hr

... Amazon Web Services (AWS) or Google Cloud Platform (GCP) . * Strong programming skills in Python . * Experience with SQL , database management, and backend data storage concepts. * Experience in ...

Amentum

Cloud Developer (SME1)

Huntsville, AL · On-site

$120 - $180/hr

Proficiency in cloud environments such as Amazon Web Services (AWS)or Google Cloud Platform (GCP). * Strong programming skills in Python. * Experience with SQL, database management, and backend data ...

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Temporary Amazon Data Engineer information

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$43.8K

$127.8K

$174.9K

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

As of Sep 4, 2026, the average yearly pay for temporary amazon data engineer in Huntsville, AL is $127,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

What does a temporary Amazon data engineer do?

A Temporary Amazon Data Engineer is responsible for designing, building, and maintaining data pipelines and systems within Amazon on a short-term or contract basis. They work with large datasets, ensure data quality, and collaborate with other teams to support analytics and business intelligence initiatives. Their role includes tasks such as data extraction, transformation, and loading (ETL), as well as troubleshooting data issues and optimizing data workflows. Although the position is temporary, it often requires strong technical skills in SQL, Python, and cloud services like AWS. The work helps Amazon make data-driven decisions and improve its services.

What are the key skills and qualifications needed to thrive as a temporary Amazon data engineer?

To thrive as a Temporary Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with Amazon Web Services (AWS) data tools like Redshift, S3, Glue, and ETL pipelines, as well as relevant certifications like AWS Certified Data Analytics, is highly valuable. Excellent problem-solving skills, adaptability, and effective communication are crucial soft skills for collaborating on short-term projects and delivering timely results. These skills and qualifications ensure efficient data solutions, seamless integration with Amazon's platforms, and the ability to meet dynamic business needs in a fast-paced environment.

What are some common challenges temporary Amazon data engineers face when onboarding to new projects?

Temporary Amazon Data Engineers often encounter challenges such as quickly adapting to existing data infrastructure, understanding proprietary tools and processes, and integrating with teams that may already have established workflows. Since the role is time-limited, it’s crucial to rapidly build relationships with stakeholders and clarify project goals early on. Proactive communication and leveraging available documentation can help overcome these hurdles, ensuring a smoother transition and effective project delivery.

What is the difference between Temporary Amazon Data Engineer vs Temporary Google Data Engineer?

AspectTemporary Amazon Data EngineerTemporary Google Data Engineer
Required CredentialsBachelor's in CS, Data Engineering certifications, AWS knowledgeBachelor's in CS, Data Engineering certifications, GCP knowledge
Work EnvironmentAmazon's cloud infrastructure, e-commerce, and logisticsGoogle Cloud Platform, advertising, and tech services
Employer & Industry UsageAmazon, retail, logistics, cloud servicesGoogle, tech, advertising, cloud services
Search & Comparison IntentHigh overlap in cloud data roles, certifications, and industrySimilar roles in cloud data engineering, but with different platform focus

Temporary Amazon Data Engineers and Temporary Google Data Engineers share similar skills, certifications, and work environments focused on cloud data platforms. The main difference lies in the cloud platform expertise—AWS for Amazon and GCP for Google—making each role suited to specific employer ecosystems and industry applications.

What are the most commonly searched types of Amazon Data Engineer jobs in Huntsville, AL?

The most popular types of Amazon Data Engineer jobs in Huntsville, AL are:

What job categories do people searching Temporary Amazon Data Engineer jobs in Huntsville, AL look for?

The top searched job categories for Temporary Amazon Data Engineer jobs in Huntsville, AL are:

What cities near Huntsville, AL are hiring for Temporary Amazon Data Engineer jobs?

Cities near Huntsville, AL with the most Temporary Amazon Data Engineer job openings:

Temporary Amazon Data Engineer jobs near you
Infographic showing various Temporary Amazon Data Engineer job openings in Huntsville, AL as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,813 per year, or $61.4 per hour.

Data Architect with Security Clearance

Blackstone Talent Group

Huntsville, AL • On-site

$66.25 - $85.25/hr

Contractor

Re-posted yesterday

Job description

About the Role
We're seeking an experienced Data Architect to support the Missile Defense Agency (MDA) on the Integrated Research and Development for Enterprise Solutions (IRES) program.
In this role, you'll design, implement, and manage enterprise data architecture that supports mission-critical operations. You'll work closely with business leaders and technical teams to develop long-term data strategies, modernize data environments, and deliver scalable solutions that drive informed decision-making across the organization. Responsibilities • Develop enterprise-wide data architecture strategies aligned with mission objectives. • Create short-term (2-year) and long-term (5–7 year) data roadmaps. • Design conceptual, logical, and physical data models. • Build scalable data architecture and management solutions. • Collaborate with cross-functional teams to ensure seamless data integration and accessibility. • Implement security controls and governance policies to protect data integrity. • Plan, design, and deploy enterprise data solutions. • Manage the complete data lifecycle, including architecture, implementation, testing, and ongoing maintenance. • Provide technical leadership on data management best practices and emerging technologies. Required Qualifications • 10+ years of professional work experience (advanced education may substitute for some experience). • 5+ years of directly related Data Architecture experience. • 1+ year of leadership or management experience. • Active DoD Secret Security Clearance. Technical Requirements
Candidates should have experience with: Databases & Data Management • SQL development • Database administration • Relational databases (PostgreSQL, Oracle, or similar) • NoSQL databases (MongoDB, Cassandra, or similar) Data Visualization • Power BI • Tableau • Equivalent enterprise visualization platforms Programming • Python • Java • C/C++ • Perl • Similar scripting or programming languages
Cloud Platforms • Amazon Web Services (AWS) • Microsoft Azure • Google Cloud Platform (GCP) Additional Experience • Machine Learning (ML) • Natural Language Processing (NLP) • Predictive analytics and modeling • Model-Based Systems Engineering (MBSE) • Integrating AI capabilities into legacy systems Preferred Qualifications • Certified Data Management Professional (CDMP) • AWS Certified Solutions Architect • Azure Solutions Architect Expert • Google Professional Data Engineer • Cloudera Certified Professional (CCP) Data Engineer • Oracle Database PL/SQL Developer Certified Professional What We're Looking For
The ideal candidate is someone who can: • Translate business needs into scalable technical solutions. • Lead enterprise data strategy initiatives. • Design secure, modern, and high-performing data environments. • Collaborate effectively across technical and business teams. • Leverage cloud technologies, analytics, and AI to improve organizational decision-making.

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