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Temporary Cloud Factory Data Entry Jobs in Indiana

Warehouse Clerk

Plainfield, IN

$19/hr

  • Medical

  • Dental

  • Vision

This individual will be responsible for inventory control, data entry, shipping and receiving ... Accurate Personnel has provided temporary job services and direct hire searches for 45 years. Our ...

Customer Service Associate

Fort Wayne, IN · On-site

$13.25 - $18.25/hr

We are seeking an accurate and detail-oriented Customer Service Data Entry Specialist. In this role ... Please note that this role will begin as a temporary assignment but has the potential to become a ...

Customer Service Associate

Fort Wayne, IN · On-site

$13.25 - $18.50/hr

We are seeking an accurate and detail-oriented Customer Service Data Entry Specialist. In this role ... Please note that this role will begin as a temporary assignment but has the potential to become a ...

Data Engineer

Carmel, IN · On-site

$110K - $120K/yr

... and cloud technologies. * Assemble large, complex sets of data that meet non-functional and ... Data Factory in Fabric (Pipelines): activities, triggers, parameterization, error handling/retries.

$84K - $111K/yr

Maintain a FinOps services portal as the primary self-service entry point, ensuring stakeholders ... data quality checks, and stakeholder usability * Establish usage tracking, user seat auditing, and ...

Temporary Tool Crib Project

Delphi, IN

$20/hr

  • Medical

  • Dental

  • Vision

  • Retirement

It requires record keeping, data entry and inventory control. Upon successful completion of this ... Location This factory position is in Delphi Indiana (6755 W 100 N Delphi, IN 46923), a short drive ...

Showing results 41-60

Temporary Cloud Factory Data Entry information

What is a temporary Cloud Factory data entry job?

Temporary Cloud Factory Data Entry jobs involve entering, updating, and managing data in cloud-based systems for a set period. These roles typically require fast and accurate typing, attention to detail, and familiarity with cloud platforms or data management tools. Temporary positions are often project-based and can last from a few weeks to several months, depending on the company's needs. People in these roles help businesses process large volumes of information efficiently and ensure that cloud databases remain accurate and up-to-date.

What are the key skills and qualifications needed to thrive as a temporary Cloud Factory data entry worker?

Success as a Temporary Cloud Factory Data Entry worker requires strong attention to detail, fast and accurate typing skills, and a basic understanding of data management principles, typically supported by a high school diploma or equivalent. Familiarity with cloud-based platforms, spreadsheets, and database systems is often necessary for efficiently processing and uploading data. Reliability, time management, and the ability to follow instructions precisely are valuable soft skills in this role. These skills ensure accurate data processing, minimize errors, and help maintain smooth operations within cloud-based data environments.

What are some common challenges faced by temporary Cloud Factory data entry professionals, and how can they be addressed?

Temporary Cloud Factory Data Entry professionals often encounter challenges such as handling large volumes of data under tight deadlines, maintaining high accuracy, and adapting quickly to different data management systems. To address these, it's essential to develop strong organizational skills, familiarize yourself with common cloud platforms used by the company, and communicate regularly with your team to clarify expectations. Proactively seeking feedback and double-checking your entries can also help prevent errors and improve overall efficiency.

What is the difference between Temporary Cloud Factory Data Entry vs Temporary Data Entry Clerk?

AspectTemporary Cloud Factory Data EntryTemporary Data Entry Clerk
CredentialsBasic data entry skills, familiarity with cloud platformsBasic data entry skills, possibly some office software knowledge
Work EnvironmentRemote/cloud-based, collaborative online platformsOffice or remote, using standard office software
Industry UsageTech, manufacturing, cloud service providersVarious industries including admin, healthcare, retail
Search & ComparisonOften searched for in tech or cloud-related rolesMore general, used across multiple sectors

Temporary Cloud Factory Data Entry involves working with cloud-based platforms and often requires familiarity with cloud services, whereas Temporary Data Entry Clerk typically involves standard office software and administrative tasks. Both roles focus on data input but differ mainly in environment and technical requirements.

What are the most commonly searched types of Cloud Factory Data Entry jobs in Indiana?

The most popular types of Cloud Factory Data Entry jobs in Indiana are:

Senior Data Engineer (ETL / Python Developer)

CSpring

Indianapolis, IN

Full-time

Posted 4 days ago


Job description

Description

At CSpring, we believe in the power of data to drive decisions and real-world impact. We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.  


We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.


Why You'll Love Working Here

  • Purposeful Projects - Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.
  • People-First Culture - We're as committed to your growth as we are to delivering high-impact solutions. You'll find support, autonomy, and community here.
  • Strategic, Hands-On Work - From data architecture and documentation to client workshops and solution delivery, you'll influence every step of the process.
  • Collaborative Trust - Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You'll Do

  • Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python-based frameworks.
  • Build and optimize scalable data processing solutions using Python, Spark, and Databricks.
  • Write and optimize SQL and stored procedures across relational platforms such as Snowflake, Oracle, and SQL Server.
  • Follow data engineering best practices for performance, reliability, reusability, and security.
  • Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care).
  • Develop robust data validation, reconciliation, and audit-traceable data pipelines.
  • Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness.
  • Participate in cloud migration and modernization initiatives within Azure-based architectures.
  • Support production operations, incident resolution, and root cause analysis.

Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub.

Requirements

  • 5+ years of data engineering experience with a focus on enterprise data warehousing.
  • 5+ years of hands-on ETL development using Informatica PowerCenter, Teradata, Azure Data Factory, or similar tools.
  • 5+ years of Python development for data engineering and automation.
  • 5+ years of Teradata experience, including Teradata loader utilities.
  • 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent).
  • Solid SQL expertise and experience with relational databases (such as Snowflake, Oracle, SQL Server).
  • 3+ years of experience with Snowflake using SnowSQL and Snowpark (Python).
  • Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD).
  • Proven solid analytical, problem-solving, and troubleshooting skills.
  • Periodic travel may be required based on project or customer needs.

Preferred Qualifications

  • Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related field.
  • Azure certifications related to data engineering or analytics.
  • Experience supporting State Medicaid EDW or MMIS analytics environments.
  • Healthcare or public sector analytics experience (Medicaid / Medicare preferred).
  • Data modeling experience in enterprise data warehouse environments.
  • Scripting experience (PowerShell, Bash) for automation and orchestration.
  • Experience designing or consuming APIs (REST) within data platforms.
  • Familiarity with data quality frameworks, reconciliation, and audit support.

Come Build With Us

At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment-apply today!