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Remote Ntt Data Federal Services Jobs in Indiana

Federal Tax Senior Associate

Indianapolis, IN ยท On-site +1

$72K - $144K/yr

Over our 80-year history, delivering excellent service through innovation has been a core part of ... Candidates who are not within commuting distance of a Crowe office may be considered for a remote ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Familiarity with AWS data services such as S3, Redshift, Glue, and Lake Formation * Experience with ...

$110K - $120K/yr

Department Overview The Product & Services Cybersecurity Team is accountable for advising and ... Process vulnerability data into a Plan of Actions and Milestones (POAM) and drive completion of ...

Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ... services. We take our responsibility to protect the personal information provided to us seriously.

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Remote Ntt Data Federal Services information

What are the key skills and qualifications needed to thrive as a remote NTT Data Federal Services employee?

To excel in a remote role at NTT Data Federal Services, you typically need a background in IT, computer science, or a related field, along with relevant federal security clearances. Familiarity with tools such as VPNs, cloud platforms, project management software, and federal compliance systems is often required. Strong communication, self-motivation, and time management skills are essential for effective collaboration and productivity in a remote environment. These qualifications ensure secure, efficient service delivery and seamless teamwork within federal IT projects.

How does collaboration typically work in a remote role at NTT Data Federal Services?

In a remote position at NTT Data Federal Services, collaboration is primarily facilitated through digital communication tools such as Microsoft Teams, email, and project management platforms. Team members participate in regular virtual meetings, both one-on-one and group, to ensure project alignment and foster team cohesion. Despite working from different locations, employees are encouraged to engage actively, share updates, and seek support from colleagues or supervisors as needed. This structure supports both independent work and close team collaboration, typical of distributed federal service projects.

What is the difference between Remote Ntt Data Federal Services vs Remote Ntt Data Analyst?

AspectRemote Ntt Data Federal ServicesRemote Ntt Data Analyst
Required CredentialsBachelor's degree, security clearance often preferredBachelor's degree in related field, analytical skills
Work EnvironmentGovernment contracts, federal agencies, remote or on-siteCorporate or client sites, remote work common
Employer & Industry UsagePrimarily government and federal projectsPrivate sector, consulting, and corporate clients
Common Search & ComparisonYesYes

Remote Ntt Data Federal Services and Remote Ntt Data Analyst roles differ mainly in their work environment and industry focus. Federal Services positions often require security clearances and involve government projects, while Data Analysts work across various industries with a focus on data interpretation and reporting. Both roles may require similar educational backgrounds but serve distinct sectors and job functions.

What are popular job titles related to Remote Ntt Data Federal Services jobs in Indiana?

For Remote Ntt Data Federal Services jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Ntt Data Federal Services jobs in Indiana look for?

The top searched job categories for Remote Ntt Data Federal Services jobs in Indiana are:

What cities in Indiana are hiring for Remote Ntt Data Federal Services jobs?

Cities in Indiana with the most Remote Ntt Data Federal Services job openings:

$95K - $105K/yr

Full-time

Re-posted 7 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.