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Etl Developer Remote Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ · Remote

$114K - $137K/yr

Yes REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time) POSITION ... DevOps Practices: 1 year experience • 2+ years' experience working with data warehousing, ETL ...

Preference is to find someone with any of the AmEx US locations but leader would consider someone good for remote as well. Scala GCP ETL - BigData / Data Warehousing Education:Employment Type ...

Data Services Engineers

Phoenix, AZ · On-site +1

$113K - $136K/yr

Requires a Master's degree inComputer Science, Applied Computer Science, an Engineering discipline, or related field, and2 years ofexperience working with ETL tools such as Streamset or Informatica.

Data Engineer II

Phoenix, AZ · On-site +1

$108K - $130K/yr

We are open to hiring remote if we find the right talent in any of the following states: AL, AR, AZ ... , Extract-Load-Transform (ELT), and/or data pipeline development experience * Experience with DevOp ...

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

Create scalable ETL/ELT processes to extract, cleanse, transform, and load data from ERP, CRM, ... Use Azure DevOps, Git, branching strategies, and CI/CD practices to manage source control and ...

$150K/yr

This is a remote work opportunity Salary: $150,000 annually Insight at a Glance * 14,000+ engaged ... Strong proficiency in building and optimizing ETL processes. * Programming: Proficient in Python ...

Data Engineer III

Chandler, AZ · On-site +1

$90K - $120K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks * Experience with ...

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Real-time ETL/ELT and Big Data pipeline experience, especially with Kafka, Workato, ADF, Matillion ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

Data Engineer III

Chandler, AZ · On-site +1

$90K - $120K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks * Experience with ...

Data Solutions Engineer II

Scottsdale, AZ · On-site +1

$115K - $138K/yr

Utilize and contribute to a library of data tools, ETL scripts, data validation routines, and ... Facilitate cross-team collaboration among data solutions engineers, customer solution architects ...

... DevOps and Agile practices. May lead and mentor other team members on a project basis. May work ... Working with ETL tools, such as Streamsets or Informatica; * SQL or PL SQL; * Working with cloud ...

SENIORDATA ENGINEER JobCode: SRDATENG ReportsTo: Director, DataOperations & Engineering ... Hands-on experiencewith extract, transform, load (ETL) process design, data lifecycle management ...

SENIORDATA ENGINEER JobCode: SRDATENG ReportsTo: Director, DataOperations & Engineering ... Hands-on experiencewith extract, transform, load (ETL) process design, data lifecycle management ...

Mainframe DB2 Replication Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

Distributed databases, message queues, and ETL platforms * Work closely with: * DBAs * Application teams * Data engineering and BI teams One of the benefits of Kyndryl is that we work with clients in ...

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a ... ETL/ELT development using Python, dbt, Dataflows, or Fabric/ADF pipelines. · Deep knowledge of ...

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Etl Developer Remote information

See Arizona salary details

$29

$53

$75

How much do etl developer remote jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for etl developer remote in Arizona is $53.47, according to ZipRecruiter salary data. Most workers in this role earn between $45.72 and $59.81 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote ETL Developer, and why are they important?

To excel as a Remote ETL Developer, you need strong expertise in data warehousing, ETL processes, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or SSIS, as well as experience with cloud platforms and database technologies, is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with distributed teams and troubleshooting data issues. These competencies ensure accurate, efficient data integration and support critical business intelligence initiatives in a remote work environment.

What are ETL Developers?

ETL Developers are IT professionals who design, implement, and maintain systems for extracting, transforming, and loading data from various sources into a centralized data warehouse or database. They work with different data formats and tools to ensure data is accurately and efficiently processed for business intelligence and analytics. Remote ETL Developers perform these tasks from a location outside the employer’s office, using collaboration tools and secure connections to manage data workflows.

How to Become an ETL Developer Who Works Remotely

The minimum qualifications for an ETL developer include a bachelor’s degree in software engineering, computer science, or a related field. Strong communication skills are important to relay issues that require attention accurately. Experience with NoSQL databases and PL/SQL development is beneficial. It is also helpful to have experience retrieving data from multiple data source types, interfacing with business users, and using dimensional modeling. You can stand out above other candidates if you have experience with Hadoop components, including HBase, Sqoop, HDFS, Hive, and Spark, experience with .NET or Java, and knowledge of SSAS, OLAP, and MDX.

How do ETL Developers working remotely typically collaborate with data engineers and analysts to ensure data quality and project success?

Remote ETL Developers usually collaborate closely with data engineers and analysts through virtual meetings, shared project management tools, and version-controlled code repositories. Regular stand-ups and agile sprints help align team members on data requirements, transformation logic, and delivery timelines. Effective communication and thorough documentation are crucial to address data quality issues promptly and to ensure that business objectives are met. Most teams rely on platforms like Slack, Jira, and GitHub to maintain transparency and streamline workflow across different locations.
What are the most commonly searched types of Etl Developer jobs in Arizona? The most popular types of Etl Developer jobs in Arizona are:
What are popular job titles related to Etl Developer Remote jobs in Arizona? For Etl Developer Remote jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Etl Developer Remote jobs in Arizona look for? The top searched job categories for Etl Developer Remote jobs in Arizona are:
What cities in Arizona are hiring for Etl Developer Remote jobs? Cities in Arizona with the most Etl Developer Remote job openings:
Data Engineer

$114K - $137K/yr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


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