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Remote Diondata Solutions Data Entry Jobs in Indiana

Harris

... visas for entry into Canada, the United States, and the Caribbean. Preference will be given to ... Coordinate the retrieval of source data and review to ensure we have the required data for ...

Harris

... visas for entry into Canada, the United States, and the Caribbean. Preference will be given to ... Coordinate the retrieval of source data and review to ensure we have the required data for ...

Labcorp

Senior Data Manager

Indianapolis, IN · Remote

Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare ... Labcorp is seeking a remote Senior Data Manager to join our team! Work Schedule Monday - Friday ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... develop/implement solutions or automated preventive controls (5%). * Represent the State ... with company's remote work policy. * Domestic travel required less than 2% of the time.

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... develop/implement solutions or automated preventive controls (5%). * Represent the State ... with company's remote work policy. * Domestic travel required less than 2% of the time.

Harris

... solutions and associated value-added services to both new and existing customers. This includes ... Configure the software using approved workflow and business rules * Assist the data conversion ...

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Remote Diondata Solutions Data Entry information

What are the key skills and qualifications needed to thrive as a Remote Diondata Solutions Data Entry specialist, and why are they important?

To thrive as a Remote Diondata Solutions Data Entry specialist, you need strong keyboarding skills, attention to detail, and basic computer literacy, typically supported by a high school diploma or equivalent. Familiarity with data entry software, spreadsheets, and online databases is essential, along with the ability to use secure file transfer systems. Excellent time management, reliability, and self-motivation are key soft skills for remote work success. These abilities ensure accurate, efficient data processing and reliable remote performance, which are vital for maintaining data integrity and meeting deadlines.

What are some common challenges faced by remote DionData Solutions Data Entry operators, and how can they be overcome?

Remote DionData Solutions Data Entry operators often encounter challenges such as maintaining focus in a home environment, managing repetitive tasks, and ensuring data accuracy. To overcome these, it's helpful to set up a dedicated workspace, use productivity tools or timers to structure work sessions, and double-check entries for errors regularly. Staying connected with team members through online communication platforms can also provide support and help clarify any task-related questions, ensuring both efficiency and accuracy in daily responsibilities.

What is the difference between Remote Diondata Solutions Data Entry vs Remote Data Coordinator?

AspectRemote Diondata Solutions Data EntryRemote Data Coordinator
CredentialsBasic data entry skills, high school diplomaAdditional certifications in data management or related fields often preferred
Work EnvironmentRemote, independent work with minimal supervisionRemote or office-based, coordinating data across teams
Industry UsageCommon in administrative, healthcare, and retail sectorsUsed in corporate, healthcare, and research organizations
Job FocusEntering and updating data accuratelyOverseeing data quality, managing databases, and reporting

Remote Diondata Solutions Data Entry primarily involves inputting and maintaining data accurately, often requiring basic skills. In contrast, a Remote Data Coordinator handles data oversight, quality control, and coordination tasks, often with additional certifications. Both roles are remote and industry-relevant, but they differ in scope and responsibilities.

What is a Remote DionData Solutions Data Entry job?

A Remote DionData Solutions Data Entry job involves entering, updating, and managing data for clients from a remote location, typically your home. Workers are responsible for accurately inputting information into databases or spreadsheets according to specific guidelines. The position usually requires good typing skills, attention to detail, and the ability to follow instructions. DionData Solutions is known for offering legitimate data entry opportunities, but applicants should be cautious of scams impersonating the company. Always verify job postings through the official DionData Solutions website.
What are the most commonly searched types of Diondata Solutions Data Entry jobs in Indiana? The most popular types of Diondata Solutions Data Entry jobs in Indiana are:
What are popular job titles related to Remote Diondata Solutions Data Entry jobs in Indiana? For Remote Diondata Solutions Data Entry jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Diondata Solutions Data Entry jobs in Indiana look for? The top searched job categories for Remote Diondata Solutions Data Entry jobs in Indiana are:
What cities in Indiana are hiring for Remote Diondata Solutions Data Entry jobs? Cities in Indiana with the most Remote Diondata Solutions Data Entry job openings:
Remote Diondata Solutions Data Entry jobs near you
Infographic showing various Remote Diondata Solutions Data Entry job openings in Indiana as of July 2026, with employment types broken down into 75% Full Time, 12% Part Time, 4% Temporary, and 9% Contract. Highlights an 100% Remote job distribution.
Data Platform Engineer

Data Platform Engineer

Renaissance Life and Health Insurance Company of America

Indianapolis, IN • On-site, Remote

$95K - $105K/yr

Full-time

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

Job description

Job Title:
Data Platform Engineer
Number of Positions:
1
Location:
Indianapolis, IN
Location Specifics:
Fully Remote
Job Summary:
Renaissance Benefits is hiring an experienced Data Platform Engineer to join our growing team!
The Data Platform Engineer helps scale Renaissance's data platform and integrate it across the organization. This role designs and builds the integration layer connecting the Microsoft Fabric-based data platform with the broader Azure ecosystem and API infrastructure. The position partners closely with the Data Platform Lead, AI Manager, and engineering teams to translate strategic direction into durable, scalable architecture and enable teams to consume platform capabilities reliably and independently.
What will this role entail?
  • Design and implement the integration layer between the Microsoft Fabric platform and Azure services, including Azure API Management, Azure Data Factory, Event Hubs, and Azure Databricks.
  • Define data contracts, API standards, and integration patterns that enable partner development teams to self-serve against the platform.
  • Establish scalable platform architecture that can be extended as organizational needs evolve.
  • Partner with the AI Manager to ensure the data platform supports current and future AI and machine learning initiatives.
  • Build and maintain robust data pipelines using Microsoft Fabric, Azure Data Factory, and related data platform tooling.
  • Implement data quality, governance, and lineage practices across the platform.
  • Drive platform reliability and performance by proactively identifying and resolving bottlenecks.
  • Evaluate and recommend tools, technologies, and process improvements that advance the data platform roadmap.
  • Perform other related duties as assigned.

Minimum Requirements:
  • Bachelor's degree in computer science, information systems, data engineering, or a related field preferred.
  • Five or more years of experience in data engineering, platform engineering, or a related technical role.
  • Strong hands-on experience with Microsoft Azure, including Azure Data Factory, Azure API Management, Azure Synapse, or related services.
  • Experience designing integration architectures, data contracts, and platform patterns for use by external or partner development teams.
  • Experience with data modeling, pipeline orchestration, and scalable data infrastructure.
  • Strong communication skills with the ability to collaborate effectively across engineering, data, product, and business teams.
  • Ability to operate with autonomy, sound judgment, and a solution-oriented mindset.
  • Willingness to learn and adopt new tools, technologies, and process improvements, including automation or AI-enabled solutions.
  • Uses AI tools responsibly within company, security, and compliance guidelines.

Base Salary Range: $95,000-105,000
The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.

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