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Part Time Data Processing Jobs in Arizona (NOW HIRING)

Goodwill

AZ · On-site

$15.15/hr

Responsible for processing required amount of donated merchandise in preparation for sale at ... The company also uses secure tools on our website to receive data from applicants and would never ...

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How much do part time data processing jobs pay per hour?

As of May 29, 2026, the average hourly pay for part time data processing in Arizona is $18.52, according to ZipRecruiter salary data. Most workers in this role earn between $14.81 and $20.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Data Processing professional, and why are they important?

To thrive in Part Time Data Processing, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database systems, and sometimes data entry platforms is typically required. Time management, reliability, and effective communication are important soft skills that help ensure consistent and error-free work. These skills are crucial for maintaining data integrity and supporting organizational efficiency in data-driven environments.

What are some common challenges faced in a part-time data processing role, and how can they be managed?

Part-time data processing professionals often encounter challenges like tight deadlines, handling large data volumes, and ensuring accuracy despite working fewer hours. Staying organized and maintaining clear communication with supervisors can help manage shifting priorities and workloads. Additionally, utilizing automation tools and regularly verifying data accuracy can streamline tasks and reduce errors, making it easier to balance responsibilities within a part-time schedule.

What are part time data processing jobs?

Part time data processing jobs involve handling, organizing, and managing data on a flexible or reduced-hour schedule. These roles typically require entering, updating, and verifying data in computer systems or databases. Common tasks may include data entry, cleaning up existing information, or generating reports. Part time positions are ideal for students, parents, or anyone seeking work-life balance, and can be found in various industries such as healthcare, finance, and retail.

What is the difference between Part Time Data Processing vs Part Time Data Entry?

AspectPart Time Data ProcessingPart Time Data Entry
CredentialsBasic computer skills, familiarity with data processing softwareBasic computer skills, proficiency in typing and data entry tools
Work EnvironmentRemote or office-based, handling data files and softwareRemote or office-based, entering data into spreadsheets or databases
Industry UsageBusiness, finance, healthcare, and tech sectorsAdministrative, retail, healthcare, and customer service sectors

Part Time Data Processing involves managing and analyzing data using specialized software, often requiring some familiarity with data management tools. Part Time Data Entry focuses on inputting data into systems, emphasizing typing speed and accuracy. While both roles are often remote and require basic computer skills, data processing may involve more technical tasks, whereas data entry is more straightforward and clerical. Understanding these differences helps job seekers find roles that match their skills and career goals.

What are the most commonly searched types of Data Processing jobs in Arizona? The most popular types of Data Processing jobs in Arizona are:
What are popular job titles related to Part Time Data Processing jobs in Arizona? For Part Time Data Processing jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Part Time Data Processing jobs in Arizona look for? The top searched job categories for Part Time Data Processing jobs in Arizona are:
Part Time Data Processing jobs near you

HIE - Intersystems Consultant (Data Migration to Snowflake/Databricks)

Big Resourcing

Snowflake, AZ • Remote

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

HIE – Intersystems Consultant (Data Migration to Snowflake/Databricks) Location: Remote NYC Contract: Ongoing Contract-Part-time About BigRio: BigRio is a Boston-headquartered, remote‐first technology consulting firm specializing in AI/ML, Cloud Transformation, Data Engineering, Healthcare Modernization, and Digital Innovation. We partner with leading healthcare, life sciences, and enterprise organizations to modernize legacy systems, build intelligent data platforms, and accelerate AI‐driven operations. As part of our expanding Cloud & Data Engineering practice, we are looking for a talented Data Engineer to support a high‐impact healthcare data migration initiative.

About the Role We are seeking a highly skilled HIE Intersystems Consultant with hands‐on experience migrating data from InterSystems to modern cloud data platforms, specifically Snowflake and Databricks. The role focuses on building secure, scalable pipelines to migrate large‐volume datasets (5M+ records), including accurate de‐identification of PHI, ensuring compliance with healthcare privacy standards. You will be a core contributor to BigRio's cloud modernization solutions, working closely with internal stakeholders and client teams.

Key Responsibilities Lead end‐to‐end migration of datasets from InterSystems (Caché/IRIS) to Snowflake and Databricks within BigRio's cloud modernization framework. Build, optimize, and maintain large‐scale ETL pipelines supporting 5M+ records with high performance and reliability. Implement PHI de‐identification and masking processes aligned with HIPAA and BigRio security best practices.

Develop scalable data processing jobs using Databricks (Spark, PySpark, Delta Lake). Integrate data workflows with AWS RDS, Snowflake, and Databricks. Work with BigRio's architecture and AI engineering teams to support analytics, reporting, and ML/GenAI initiatives.

Ensure data quality, monitoring, and validation throughout migration cycles. Maintain documentation of architecture, data lineage, transformation logic, and operational procedures. Collaborate with sill distributed BigRio and client teams across the U.S.

and India. Required Skills & Experience 5+ years as a Data Engineer, with strong cloud engineering experience. Hands‐on expertise with InterSystems (Caché/IRIS) – extraction, schema mapping, transformations.

Strong experience building solutions with Snowflake and cloud‐native data warehousing. Expertise with Databricks, Spark, and PySpark for large‐scale processing. Proven ability to build and optimize ETL pipelines handling 5M+ record volumes.

Strong క్య understanding of PHI de‐identification, HIPAA compliance, and healthcare data workflows. Experience with AWS RDS, SQL, Python, and cloud orchestration tools. Strong foundation in data modeling, performance tuning, and scalable architecture.

Excellent communication skills and comfortable working with global remote teams. Preferred Qualifications Experience with HL7, FHIR, CCD, or healthcare data interoperability. Exposure to dbt, Airflow, Step Functions, or similar orchestration tools.

Experience in healthcare data modernization or cloud migrations. Apply Now. #J-18808-Ljbffr

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