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Temporary Amazon Data Engineer Jobs in Detroit, MI

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

... Postgres, Amazon RDS, Crystal Reports XI, SAP, Business Objects, Informatica, Trillium, Snowflake, Microsoft Power BI, Tableau, R Programming for data visualizations, Python, TensorFlow, PyTorch ...

Saanvi Technologies

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

The ideal candidate will bridge business, engineering, analytics, and data science teams to deliver ... Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity ...

Deloitte

Lead Data Mgt Engineer - Archiving/ILM

Detroit, MI · Hybrid

$101K - $133K/yr

Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or ... Work you'll do As a Lead Data Management Engineer II on the AI & Data team, you will be responsible ...

Amazon

Senior Station Manager

Ypsilanti, MI · On-site

... and operations objectives for an Amazon Logistics Delivery Station (DS). Additional ... IT, HR, ACES and Engineering to build and secure support and resources for projects and ...

Amazon

Operations Manager

Livonia, MI · On-site

Job summary Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Amazon

Operations Manager

Livonia, MI · On-site

Job summary Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Amazon

Operations Manager - Romulus, MI

Romulus, MI · On-site

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Amazon

Operations Manager

Pontiac, MI · On-site

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

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Showing results 21-40

All JobsAmazon Data Engineer JobsTemporary Amazon Data Engineer JobsTemporary Amazon Data Engineer Jobs in Detroit, MI

Temporary Amazon Data Engineer information

See Detroit, MI salary details

$44.1K

$128.4K

$175.7K

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

As of Aug 11, 2026, the average yearly pay for temporary amazon data engineer in Detroit, MI is $128,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,100.00 per year, depending on experience, location, and employer.

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 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 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 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 most commonly searched types of Amazon Data Engineer jobs in Detroit, MI? The most popular types of Amazon Data Engineer jobs in Detroit, MI are:
What are popular job titles related to Temporary Amazon Data Engineer jobs in Detroit, MI? For Temporary Amazon Data Engineer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Temporary Amazon Data Engineer jobs in Detroit, MI look for? The top searched job categories for Temporary Amazon Data Engineer jobs in Detroit, MI are:
Temporary Amazon Data Engineer jobs near you

Data / BI Architect

Tech Tammina LLC

Pontiac, MI • On-site

$63.25 - $81.50/hr

Contractor

Re-posted 8 days ago

Job description

Role: Data / BI Architect

Location: Pontiac, MI

Work Schedule: Hybrid On-site/Remote (This is a hybrid role and will require someone in office 2 days per week)
Duration: 12 Months+

Rate: Market

  • Provides technical direction to IT for a variety of data and artificial intelligence projects including data warehouse, business intelligence, data modelling and source data optimization initiatives.
  • Develops conceptual, logical, and physical data models and architectures.
  • Provides metadata strategies and data integration design.
  • Provides technical infrastructure design and implements scalable and data architectures that support business objectives.
  • Develop, test, and maintain data pipelines, ETL processes, and data integration solutions.
  • Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
  • Collaborate with business functions to design, develop, and deploy artificial intelligence and machine learning solutions to enhance business processes, as well as drive data-driven decision-making and innovation.

Environment: MS Visio, Microsoft 365 Services, XML, ANSI SQL, Oracle, Microsoft SQL Server, Postgres, Amazon RDS, Crystal Reports XI, SAP, Business Objects, Informatica, Trillium, Snowflake, Microsoft Power BI, Tableau, R Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases.