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Remote Python Data Analysis Jobs in Indianapolis, IN

Snowflake Architect (Remote)

Indianapolis, IN · Remote

$65.25 - $84/hr

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have ...

Sr. Data Engineer

Indianapolis, IN · Remote

$108K - $147K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Strong proficiency in SQL, Python, and JavaScript for data transformation, pipeline development ...

Do you enjoy data analytics ? Then read on! We are currently seeking a data insights analyst who ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Sr. Data Engineer

Indianapolis, IN · Remote

$101K - $137K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Strong proficiency in SQL, Python, and JavaScript for data transformation, pipeline development ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Remote Python Data Analysis information

See Indianapolis, IN salary details

$12

$56

$82

How much do remote python data analysis jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote python data analysis in Indianapolis, IN is $56.03, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $63.65 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Python Data Analysis jobs in Indianapolis, IN? The most popular types of Python Data Analysis jobs in Indianapolis, IN are:
What are popular job titles related to Remote Python Data Analysis jobs in Indianapolis, IN? For Remote Python Data Analysis jobs in Indianapolis, IN, the most frequently searched job titles are:
What job categories do people searching Remote Python Data Analysis jobs in Indianapolis, IN look for? The top searched job categories for Remote Python Data Analysis jobs in Indianapolis, IN are:
What cities near Indianapolis, IN are hiring for Remote Python Data Analysis jobs? Cities near Indianapolis, IN with the most Remote Python Data Analysis job openings:
Infographic showing various Remote Python Data Analysis job openings in Indianapolis, IN as of July 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $116,551 per year, or $56 per hour.
Snowflake Architect (Remote)

Snowflake Architect (Remote)

Onebridge

Indianapolis, IN • Remote

$65.25 - $84/hr

Full-time

Posted 10 days ago


Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Snowflake Architect to join our innovative and dynamic team.

Snowflake Architect | About You

As a Snowflake Architect, you are responsible for designing and guiding the implementation of modern cloud data platforms that support enterprise analytics and datadriven decisionmaking. You bring deep expertise in Snowflake and cloudnative architectures, along with a strong track record delivering greenfield data platforms and leading onpremises to cloud migrations. You operate comfortably at both the strategic and handson levels, defining architecture standards while partnering closely with engineering teams to ensure successful execution. You have a strong understanding of data strategy, governance, and enterprise data management, and you value building scalable, secure, and wellgoverned platforms from the start. You collaborate effectively with business and technical stakeholders to translate longterm data vision into practical, sustainable architectures.

Snowflake Architect | Day-to-Day

  • Lead the design and architecture of enterprise data platforms using Snowflake and Azure, supporting greenfield initiatives and largescale modernization efforts.
  • Define and implement architectural patterns for onpremises to cloud migrations, including ingestion, transformation, storage, and analytics layers.
  • Partner with data engineering and analytics teams to design scalable data models, ELT frameworks, and integration patterns using Snowflake and SQL.
  • Contribute to data strategy and roadmap development, aligning technical architecture with business goals and analytics needs.
  • Define and enforce data governance, security, and data quality standards, working closely with compliance and data management teams.
  • Review architectural designs, data pipelines, and implementations to ensure alignment with performance, scalability, security, and governance best practices.
  • Support analytics and reporting teams by ensuring Snowflake architectures enable selfservice BI and reliable access to trusted data sources.

Snowflake Architect | Skills & Experience

  • 8+ years of experience in data architecture, cloud data engineering, or enterprise data platform design.
  • Deep, handson expertise with Snowflake, including architecture design, performance optimization, security models, and largescale transformation workloads.
  • Proven experience leading greenfield data platform implementations and onpremises to cloud migrations.
  • Strong expertise in Azure, advanced SQL, and ETL/ELT architecture within enterprise data ecosystems.
  • Experience designing and supporting enterprise data strategies, including data governance, data quality, and metadata management practices.
  • Strong understanding of analytics enablement and integration with BI platforms such as Power BI or Sigma.
  • Familiarity with AI or advanced analytics concepts as applied to data platforms is a plus, but not required.

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