2

Remote Data Encoder Home Based Jobs in Indiana (NOW HIRING)

United States (Remote) Interested applicants must reside in one of the following approved states ... Experience designing architecture in modern cloud-based data ecosystems, including AWS-based ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Significant experience designing and implementing architecture in cloud-based, modern data ...

... Home Teleworkers, Alabama - Home Teleworkers, Arizona - Home Teleworkers, Arkansas - Home ... Continuously refine the semantic data product based on user feedback and evolving business needs.

... Home Teleworkers, Alabama - Home Teleworkers, Arkansas - Home Teleworkers, Colorado - Home ... Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives

Remote Spanish Bilingual Customer Service

Elkhart, IN · Remote

$14.75 - $18.75/hr

Provide your own home office equipment * Handle customer calls, assess needs, and solve problems Requirements: * Strong verbal and written English and Spanish skills * At least 1 year of phone-based ...

Remote Spanish Bilingual Customer Service

Hammond, IN · Remote

$15 - $18.75/hr

Provide your own home office equipment * Handle customer calls, assess needs, and solve problems Requirements: * Strong verbal and written English and Spanish skills * At least 1 year of phone-based ...

Showing results 41-60

Remote Data Encoder Home Based information

What are the most commonly searched types of Remote Data Encoder jobs in Indiana?

The most popular types of Remote Data Encoder jobs in Indiana are:

What cities in Indiana are hiring for Remote Data Encoder Home Based jobs?

Cities in Indiana with the most Remote Data Encoder Home Based job openings:

$95K - $105K/yr

Full-time

Posted 28 days ago


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 a related field preferred.
  • 5+ years of experience in data engineering, platform engineering, or a related technical role.
  • Experience with Microsoft Azure data services and integration tools.
  • Ability to design scalable data platforms, pipelines, integrations, and data models.
  • Strong communication skills with the ability to work across technical and business teams.
  • Self-starter with strong problem-solving skills and sound judgment.
Technical Qualifications
  • Experience with Microsoft Fabric, including OneLake, pipelines, and Lakehouse capabilities.
  • Familiarity with AI/ML data patterns and model pipeline support.
  • Experience with infrastructure-as-code tools such as Terraform or Bicep preferred.
  • Knowledge of API design, integration patterns, and platform enablement.
  • Interest in learning new tools and applying automation or AI-enabled solutions responsibly.

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.