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Remote Databricks Data Engineer Jobs in Indianapolis, IN

Marlabs

Data Practice Lead (Remote)

Indianapolis, IN · Remote

... engineering, data architecture, solution architecture, or related roles. * Strong handson experience with modern cloud data platforms, including Databricks and/or Snowflake. * Proven ability to ...

Marlabs

AWS Devops Cloud Engineer (Remote)

Indianapolis, IN · Remote

$54 - $74/hr

Manage and support cloud-based data and analytics platforms, including Databricks, Amazon RDS ... Engineer | Skills & Experience * Hands-on experience with AWS services including EKS, ECR, EC2 ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

The role requires collaboration with other analysts, data engineers, data product managers, and ... Expertise with Databricks preferred A does not imply that the duties stated are the only ones to be ...

Olsson

Licensed Civil Engineer - Data Center

Carmel, IN · Remote

$88K - $116K/yr

As a Licensed Civil Engineer on the Data Center Civil team, you will be a part of the firm ... fully remote in various locations of the US. This role includes flexible work options to ...

Munich Re

Actuarial Data Scientist (FCAS)

Carmel, IN · On-site +1

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs ... Experience with Databricks or similar big data platforms is highly desirable. * Strong ...

Marlabs

Snowflake Architect (Remote)

Indianapolis, IN · Remote

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest ...

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Remote Databricks Data Engineer information

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How much do remote databricks data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote databricks data engineer in Indianapolis, IN is $123,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $131,400.00 per year, depending on experience, location, and employer.

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

What are the most commonly searched types of Databricks Data Engineer jobs in Indianapolis, IN?

The most popular types of Databricks Data Engineer jobs in Indianapolis, IN are:

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For Remote Databricks Data Engineer jobs in Indianapolis, IN, the most frequently searched job titles are:

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Remote Databricks Data Engineer jobs near you

Data Platform Engineer

Indianapolis, IN • Remote

Renaissance Life and Health Insurance Company of America
Insurance Services • 201 - 500 employees
Learn more about Renaissance Life and Health Insurance Company of Americaexternal

$95K - $105K/yr

Full-time

Re-posted 6 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.

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