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Remote Data Infrastructure Jobs in Arizona (NOW HIRING)

Data Engineer

Scottsdale, AZ · Remote

$60 - $70/hr

Scottsdale, AZ Remote: NO Length: 6 months (potential contract to hire) Contact: Brian Merin; ; Summary: Leads the design and implementation of data infrastructure, driving the evolution of the ...

Data Engineer

Phoenix, AZ · Remote

$114.50K - $137.50K/yr

Yes REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time) POSITION ... data delivery, re-designing infrastructure for greater scalability, etc. • Build the ...

Senior IT Infrastructure Engineer

Phoenix, AZ · Remote

$107.70K - $146.50K/yr

A Little About Us EDB provides a data and AI platform that enables organizations to harness the ... This role is 100% remote for candidates based in EST or CST only We are looking for a confident ...

Apply Infrastructure Expertise: Design and support systems including power distribution, UPS ... Primarily remote-based role with collaboration through virtual tools and platforms. * Travel to ...

Big Data Engineer with Java

Phoenix, AZ · Remote

$55.25 - $73.25/hr

Big Data Engineer with Java Location: Remote Duration: 12 Months Contract Qualifications ... Along the way, you'll partner with our Azure Infrastructure, Visualization, Advanced Analytics, and ...

Senior Data Platform Architect

Phoenix, AZ · On-site +1

$63.75 - $85.25/hr

This is a fully remote position, and no two days look the same. You may start the morning reviewing ... Must have 10 years of progressive IT experience in development, infrastructure, or systems analysis ...

Partner cross-functionally with Product, Technology, Operations, and Client Service teams to enhance data infrastructure and workflow efficiency. * Monitor corporate actions and market developments ...

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Remote Data Infrastructure information

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

To excel as a Remote Data Infrastructure Engineer, you need a strong background in computer science, data architecture, and experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with tools like Terraform, Kubernetes, and data pipeline technologies, as well as relevant certifications (e.g., AWS Certified Solutions Architect), is typically required. Strong problem-solving abilities, clear communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These competencies ensure reliable, scalable data systems and effective teamwork across distributed environments.

What are some common challenges faced by professionals working in remote data infrastructure roles?

Professionals in remote data infrastructure roles often encounter challenges such as ensuring seamless communication across distributed teams, maintaining high availability and performance of data systems, and managing security risks associated with remote access. Coordinating with colleagues across different time zones can require flexibility in scheduling and proactive communication. Additionally, remote data infrastructure engineers must stay up-to-date with evolving cloud technologies and best practices to effectively support scalable, reliable, and secure data architectures.

What is remote data infrastructure?

Remote data infrastructure refers to the systems, tools, and processes that enable organizations to collect, store, manage, and analyze data from remote locations, often via cloud-based platforms. This infrastructure allows teams to access and work with data securely from anywhere, supporting distributed work environments and scalable data solutions. It typically involves cloud storage, data pipelines, databases, and security protocols tailored for remote accessibility. Remote data infrastructure is essential for businesses that operate in multiple locations or have remote teams.
What are the most commonly searched types of Data Infrastructure jobs in Arizona? The most popular types of Data Infrastructure jobs in Arizona are:
What are popular job titles related to Remote Data Infrastructure jobs in Arizona? For Remote Data Infrastructure jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Data Infrastructure jobs in Arizona look for? The top searched job categories for Remote Data Infrastructure jobs in Arizona are:
What cities in Arizona are hiring for Remote Data Infrastructure jobs? Cities in Arizona with the most Remote Data Infrastructure job openings:
Data Engineer

$60 - $70/hr

Other

Posted 13 days ago


Job description

Location: Scottsdale, AZ
Salary: $60.00 USD Hourly - $70.00 USD Hourly
Description: Title: Data Engineer
Location: Scottsdale, AZ
Remote: NO
Length: 6 months (potential contract to hire)
Contact: Brian Merin; ;
Summary:
Leads the design and implementation of data infrastructure, driving the evolution of the company's data pipeline architecture to support advanced analytics and business insights. The position is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The role is a self-directed position that is comfortable supporting the data needs of multiple teams, systems and products. Provides mentorship and guidance on best practices and software design principles.
The following are essential accountabilities:
Leads the creation and maintenance of optimal data pipeline architecture, ensures scalable, efficient, and secure data processing.
Assembles large, complex data sets that meet functional and non-functional business requirements.
Mentors and guides Data Engineer team members, promoting best practices and design principles.
Engages in advanced data modeling and architecture tasks.
Champions performance tuning, troubleshooting, and optimization of datasets to ensure efficient data delivery.
Identifies, designs, and implements internal process improvements: automates manual processes, optimizes data delivery, re-designs infrastructure for greater scalability, etc.
Designs and builds the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources using SQL and big data technologies.
Builds analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Works with stakeholders including the Executive, Product, Data and Design teams to assist with data related technical issues and support their data infrastructure needs.
Works with data and analytics experts to strive for greater functionality in our data systems.
Responsible for managing complex queries for reporting and the application consumption.
Troubleshoots and provides root cause analysis for database software and data integrity issues.
Ability to work off-hours with occasional evenings, weekends, and/or holidays.
Position Qualifications
Minimum Education: Bachelor's degree in computer science or related experience.
Preferred Education: Master's degree in computer science or related experience.
Minimum Experience: 7 years as a Data Engineer.
Preferred Experience: 8 years as a Data Engineer.
Required Certification/ License: N/A
Preferred Certification/ License: AWS Data Engineer OR AWS Solution Architect certifications, Snowflake certifications.
Required Skills, Knowledge, and Experience:
Deep understanding of SQL and experience with multiple relational and NoSQL database solutions.
Expertise in optimizing ETL/ELT pipelines and data modeling.
Experience with version control systems and CI/CD pipeline development.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Experience supporting and working with cross-functional teams in a dynamic environment.
Demonstrated ability to lead projects and mentor junior team members.
Strong analytic skills related to working with unstructured datasets.
Develop processes and procedures supporting data transformation, data structures, metadata, dependency identification and workload management.
Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
Strong project management and organizational skills.
Graduate Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Experience with relational SQL (SQL Server) and NoSQL (Mongo) databases.
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