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Temporary Amazon Data Engineer Jobs in Arizona (NOW HIRING)

Forhyre

Data Engineer

Phoenix, AZ

$113K - $136K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

Sarian, Inc.

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... as Amazon Redshift, Google BigQuery, or Apache Airflow 6) Knowledge of Airflow and CI/CD pipelines 7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc Roles ...

Pwc

Data Engineer - Manager

Phoenix, AZ · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Deloitte

Databricks Data Engineer II

Tempe, AZ · On-site

$109K - $131K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Deloitte

Sr Databricks Data Engineer

Tempe, AZ

$109K - $131K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Deloitte

Lead Data Engineer

Tempe, AZ

$98K - $129K/yr

Deloitte is seeking a Lead Data Engineer- Databricks to support the design, build, and delivery of ... Master's degree Experience with Delta Lake, Unity Catalog, or MLflow Experience with Amazon Web ...

Pwc

Data Engineer - Senior Associate

Phoenix, AZ · On-site

$77K - $202K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions ...

Amazon

Business Analyst II - AMZ27049.1

Tempe, AZ · On-site

$75K - $130K/yr

Collect business use cases, research and evaluate opportunities to help Amazon leverage its data to ... Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of ...

Amazon

Data Center Chief Engineer

Avondale, AZ · On-site

You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical ... The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical ...

Amazon

Data Center Chief Engineer

Avondale, AZ

You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical ... The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical ...

Amazon

Data Center Chief Engineer

Avondale, AZ · On-site

You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical ... The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical ...

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Temporary Amazon Data Engineer information

How much do Amazon data engineers make?

Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in cloud platforms and big data tools may earn higher salaries, often exceeding $160,000. Compensation can also include bonuses and stock options.

Does Amazon have temporary jobs?

Amazon offers temporary jobs, including roles such as data engineers, which are often project-based or seasonal. These positions may require specific skills like data management and familiarity with cloud tools, and they typically have flexible schedules depending on the role and business needs.

What engineer makes $500,000 a year?

Senior data engineers or specialized software engineers with extensive experience, advanced skills in cloud platforms, and certifications can earn $500,000 or more annually, especially in high-demand industries or companies. Such roles often involve leadership responsibilities, complex data architecture, and working with large-scale systems.

Will Amazon pay you $28 an hour to work from home?

The pay rate for a Temporary Amazon Data Engineer can vary based on location, experience, and project requirements. While some data engineering roles at Amazon may offer around $28 an hour, actual compensation depends on the specific position and employment terms. Remote data engineering jobs often require skills in SQL, Python, and cloud platforms like AWS.

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, and why are they important?

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 Arizona? The most popular types of Amazon Data Engineer jobs in Arizona are:
What are popular job titles related to Temporary Amazon Data Engineer jobs in Arizona? For Temporary Amazon Data Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Temporary Amazon Data Engineer jobs in Arizona look for? The top searched job categories for Temporary Amazon Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Temporary Amazon Data Engineer jobs? Cities in Arizona with the most Temporary Amazon Data Engineer job openings:
Temporary Amazon Data Engineer jobs near you

Data Engineer

Forhyre

Phoenix, AZ

$113K - $136K/yr

Full-time

Posted 4 days ago

Job description

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL
Secondary: Databricks
Nice to have: Informatica/ETL.

Responsibilities

  • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform
  • Understand the full end to end development activities from design to go live for ETL development and Azure platform
    Recommend and execute improvements
  • Document component design for developers and for broader communication.
  • Understand and adopt an Agile (SCRUM like) software development mindset
  • Follow established processes/standards, business technology architecture for development, release management and deployment process
  • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews.
  • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements.
  • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies.
  • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.
  • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems.

Requirements

  • Proven working experience as a data engineer
  • Bachelor degree or equivalent in Computer Science
  • Skilled in Python object-oriented programming
  • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
  • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
  • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
  • Skilled in SQL
  • Skilled in Jenkins
  • Skilled in JSON
  • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
  • Skilled in cloud technologies and cloud computing
  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
  • Determining causes of operating errors and taking corrective action
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
  • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
  • Programming including coding, debugging, and using relevant programming languages
  • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
  • Ability to frame ideas as systems and analyzing the inputs, outputs, and process
  • Experience helping an organization to plan and manage change in effort to meet strategic objectives
  • Adept at managing project plans, resources, and people to ensure successful project completion
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal