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Remote Data Transformation Jobs in Arizona (NOW HIRING)

MST Solutions

Data Engineer

Phoenix, AZ · Remote

$114K - $137K/yr

Yes REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time) POSITION ... transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data ...

MST Solutions

Data Engineer

Phoenix, AZ · Remote

$114K - $137K/yr

Yes REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time) POSITION ... transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data ...

Agile Defense

Data Scientist - A365

Fort Huachuca, AZ · On-site +1

$85K - $95K/yr

Data Scientist - A365 Location: Remote Clearance Level: Secret, Must Have Clearance to Start ... Proficiency in data modeling, data transformation, and data analysis. * Strong knowledge of Power ...

Agile Defense

$85K - $95K/yr

Data Scientist - A365 Location: Remote Clearance Level: Secret, Must Have Clearance to Start ... Proficiency in data modeling, data transformation, and data analysis. * Strong knowledge of Power ...

XTG

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... Develop and maintain SQL queries, stored procedures, views, data models, and transformation logic.

Deloitte

Technical Program Manager

Tempe, AZ · Remote

$123K - $159K/yr

... operational data For individuals assigned and/or hired to work in a remote role, Deloitte is ... transformation initiatives, including POS modernization, store systems, and enterprise platform ...

Deloitte

Technical Program Manager

Gilbert, AZ · Remote

$128K - $166K/yr

... operational data For individuals assigned and/or hired to work in a remote role, Deloitte is ... transformation initiatives, including POS modernization, store systems, and enterprise platform ...

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Remote Data Transformation information

What are some common challenges faced in a remote data transformation role and how can they be addressed?

In a remote data transformation role, common challenges include managing large data sets across multiple platforms, ensuring data quality, and maintaining clear communication with distributed teams. Working remotely can make it harder to quickly clarify requirements or spot inconsistencies, so adopting strong documentation practices and regular check-ins are essential. Utilizing collaborative tools for version control, data sharing, and workflow management helps streamline processes and reduce errors. Proactively communicating progress and blockers with cross-functional teams ensures alignment and timely project delivery.

What is the difference between Remote Data Transformation vs Remote Data Analyst?

AspectRemote Data TransformationRemote Data Analyst
Primary RoleDesigning, developing, and implementing data transformation processesAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsSQL, ETL tools, data modeling, scripting languagesExcel, SQL, data visualization tools, statistical knowledge
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, analytics teams, reporting platforms
Industry UsageData engineering, software development, cloud servicesBusiness intelligence, marketing, finance

Remote Data Transformation specialists focus on creating and managing data pipelines and transforming raw data into usable formats. In contrast, Remote Data Analysts interpret data to generate insights and support strategic decisions. Both roles require strong technical skills, but their core responsibilities differ in focus and output.

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

A Remote Data Transformation Specialist needs strong analytical abilities, proficiency in data management, and a solid understanding of databases and data modeling, often supported by a degree in computer science, information systems, or related fields. Familiarity with ETL (Extract, Transform, Load) tools, SQL, and cloud-based data platforms like AWS or Azure is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving skills, attention to detail, and effective remote communication are vital soft skills for collaborating with distributed teams. These competencies ensure accurate, efficient data processing and integration, which are crucial for data-driven decision-making in modern organizations.

What is a Remote Data Transformation job?

A Remote Data Transformation job involves converting, cleaning, and organizing data from one format or structure to another, all while working from a remote location. Professionals in this role use various tools and programming languages, such as SQL, Python, or ETL platforms, to ensure data is accurate, consistent, and usable for analytics or business processes. They often collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality transformed datasets. This role is crucial for organizations that rely on data-driven decision-making and need to integrate information from multiple sources.
What are popular job titles related to Remote Data Transformation jobs in Arizona? For Remote Data Transformation jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Data Transformation jobs in Arizona look for? The top searched job categories for Remote Data Transformation jobs in Arizona are:
What cities in Arizona are hiring for Remote Data Transformation jobs? Cities in Arizona with the most Remote Data Transformation job openings:
Remote Data Transformation jobs near you
Data Engineer

Data Engineer

MST Solutions

Phoenix, AZ • Remote

$114K - $137K/yr

Contractor

Posted 12 days ago

Job description

POSITION TITLE: Data Engineer
OFFICE LOCATION: Phoenix, AZ
CORE TIME ZONE: MST
FULL-TIME WORKING REMOTELY (from home):    Yes
REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time)
POSITION SUMMARY:
We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives
 
PRINCIPAL RESPONSIBILITIES:
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data' technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Troubleshoots issues with minimal guidance, identifies bottlenecks in existing data workflows and provides solutions for a scalable, defect-free application
• Works with onshore/offshore team to analyze, develop and improve pipeline run times as well as produce accurate defect free code
• Complies with Company policy and practices relating to the System Development Life Cycle.
• Provides Tier 3 support and resolution of IT issues escalated by IT Customer Support.
• Support audit and compliance reporting requests. 
• Support the operation of MarkLogic and Snowflake products on a 24/7 basis as needed.
• Supports production environment in the event of emergency
• Participate in on-call support 24x7 weekly rotation of the operation of Informatica.
• Performs other job-related duties as assigned or apparent.
MINIMUM QUALIFICATIONS:
• 2+ years of experience in a Data Engineer role, who has attained a bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. 
• AWS: 1 year experience
• DevOps Practices: 1 year experience
• 2+ years' experience working with data warehousing, ETL development and ETL architecture.
• 2+ years' experience combined experience with any of the following database technologies (RDBMS:  MSSQL, MySQL Oracle; NoSQL:  MarkLogic, Snowflake, DynamoDB, Redis).
• 2 years' experience working on large data initiatives (?5 terabytes).
• 1 years' experience with JavaScript
PREFERRED QUALIFICATIONS:
• 2+ years' experience working with data warehousing, ETL development and ETL architecture.
• 2+ years' experience combined experience with any of the following database technologies (RDBMS:  MSSQL, MySQL Oracle; NoSQL:  MarkLogic, Snowflake, DynamoDB, Redis).
• 2 years' experience working on large data initiatives (?5 terabytes).
• 1+ years' experience with JavaScript
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data' data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Good knowledge and experience of working with OO Javascript, XHTML, CSS, XML, Ajax and one or more JavaScript libraries (e.g. Prototype, JQuery) 
• Experience with web services (e.g. RESTful services), including the ability to programmatically interact with data formats that may include XML, JSON and RDF 
• Experience with writing software for complex web-based business applications which makes use of client-side data capture, validation and presentation 
• Working knowledge of version control systems (e.g. SVN, Git)
 

Education:Employment Type: CONTRACTOR

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