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Remote Hedge Fund Data Engineer Jobs in Indiana (NOW HIRING)

$106K - $128K/yr

The role We're looking for a Data Engineer (m/f/d) to build and improve internal data solutions ... Remote-first across Germany and the US (offices available). * Relocation to Germany is supported by ...

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a highly skilled and ... Collaborate with government data stewards, data engineers, and IT personnel to ensure data ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... programming, along with the ability to translate complex findings into clear business ...

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

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 ...

New

As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

UI/UX SME

Crane, IN ยท On-site +1

$185K/yr

... fully remote , and any required travel would be reimbursed by the government . The ideal candidate is a highly collaborative UX/UI professional who can work closely with data engineers, systems ...

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Remote Hedge Fund Data Engineer information

What does a remote hedge fund data engineer do?

A Remote Hedge Fund Data Engineer is responsible for designing, building, and maintaining data pipelines and infrastructure that support the data needs of a hedge fund, all while working from a remote location. They collect, process, and analyze large volumes of financial and market data to enable investment strategies and decision-making. This role often involves working with modern data technologies, ensuring data quality, and collaborating with portfolio managers, analysts, and other engineers. Remote Data Engineers must also ensure secure and efficient data flow, troubleshoot issues, and optimize data systems for performance.

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

To thrive as a Remote Hedge Fund Data Engineer, you need strong programming skills (typically in Python, SQL, or Java), a solid understanding of financial data structures, and a degree in computer science, engineering, or a related field. Expertise in cloud platforms (such as AWS or Azure), data pipeline tools (like Apache Spark or Airflow), and experience with big data technologies are commonly required, along with relevant certifications. Exceptional analytical thinking, attention to detail, and clear communication help you proactively solve complex problems and collaborate effectively with distributed teams. These skills are crucial for ensuring the timely, accurate, and secure processing of large-scale financial data that drives investment decisions.

How does a remote hedge fund data engineer typically collaborate with portfolio managers and quantitative analysts?

As a Remote Hedge Fund Data Engineer, you will frequently work alongside portfolio managers and quantitative analysts to ensure access to timely, high-quality data for investment decision-making. Collaboration often involves gathering requirements for new data sources, supporting the development and maintenance of data pipelines, and troubleshooting data quality issues. Effective communication is essential, as you'll need to translate business needs into technical solutions and provide ongoing support for data-driven strategies, all while working within a distributed team environment. Regular virtual meetings, shared documentation, and version control tools help maintain alignment and foster a collaborative workflow.

What is the difference between Remote Hedge Fund Data Engineer vs Remote Quantitative Analyst?

AspectRemote Hedge Fund Data EngineerRemote Quantitative Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; experience with data engineering toolsBachelor's or higher in Mathematics, Statistics, or related; programming skills in Python, R
Work EnvironmentFinancial firms, hedge funds, or asset management companies; focus on data pipelinesResearch firms, hedge funds, or investment banks; focus on modeling and analysis
Employer & Industry UsageCommonly employed in hedge funds for data infrastructureUsed for developing trading strategies and risk models in finance

The main difference is that Remote Hedge Fund Data Engineers focus on building and maintaining data systems, while Remote Quantitative Analysts develop models and strategies. Both roles require strong analytical skills, but their daily tasks and focus areas differ within the hedge fund industry.

What are the most commonly searched types of Hedge Fund Data Engineer jobs in Indiana?

The most popular types of Hedge Fund Data Engineer jobs in Indiana are:

What cities in Indiana are hiring for Remote Hedge Fund Data Engineer jobs?

Cities in Indiana with the most Remote Hedge Fund Data Engineer job openings:

Senior Data Engineer (Snowflake)

Indianapolis, IN โ€ข On-site, Remote

$101K - $137K/yr

Full-time

Posted 24 days ago


Job description

Join Our Team

Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.

As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.

About the Role:
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We are looking for an experienced Senior Data Engineer with strong expertise in Snowflake to help build and optimize modern cloud-based data solutions that support critical business operations.

In this role, you'll design, develop, and maintain scalable ETL/ELT pipelines, optimize data models, and ensure the delivery of accurate, high-quality data to downstream business systems. You'll work with modern cloud-native technologies while helping evolve the organization's data platform toward a Snowflake and dbt architecture.

The ideal candidate has strong experience building enterprise data pipelines, designing scalable data warehouses, and transforming complex business requirements into reliable data solutions.

Remote - United States (Midwest Preferred)

Occasional travel to Chicago may be required.

Key Responsibilities:
  • Design, develop, and maintain scalable ETL/ELT pipelines using modern data integration tools.
  • Build and optimize data models in Snowflake for analytics and operational reporting.
  • Develop data transformation processes supporting business intelligence and downstream applications.
  • Design and maintain enterprise data pipelines integrating CRM, ERP, billing, and other business systems.
  • Ensure data quality, integrity, consistency, and reliability across all data workflows.
  • Build and maintain outbound integrations with enterprise applications and reporting platforms.
  • Monitor, troubleshoot, and optimize pipeline execution and query performance.
  • Collaborate with business stakeholders to translate requirements into scalable data solutions.
  • Support the evolution of modern cloud-native data architecture using Snowflake and dbt.
  • Participate in code reviews and continuously improve engineering best practices.
Requirements:
  • 5+ years of professional Data Engineering experience.
  • 4+ years of hands-on Snowflake experience.
  • Strong SQL and data warehousing experience.
  • Experience designing and maintaining ETL/ELT pipelines.
  • Experience working with enterprise business data.
  • Experience integrating multiple enterprise applications.
  • Strong analytical and problem-solving skills.
  • Experience working in Agile environments.
  • Strong written and verbal English communication skills.
  • Must be based in the United States.
Must Have:
  • 5+ years of Data Engineering experience.
  • 4+ years of hands-on Snowflake experience.
  • Advanced SQL skills.
  • Experience building and maintaining ETL/ELT pipelines.
  • Experience with Matillion or similar ETL/ELT platforms.
  • Strong data modeling experience.
  • Experience designing enterprise data warehouses.
  • Experience optimizing Snowflake performance.
  • Experience integrating CRM, ERP, billing, and other enterprise systems.
  • Experience building scalable data pipelines.
  • Strong understanding of data quality, governance, and integrity.
  • Experience translating business requirements into scalable data solutions.
Nice to Have
  • Experience with dbt (Data Build Tool).
  • Experience migrating ETL workloads to Snowflake-native architectures.
  • Experience with SAP Callidus.
  • Experience with Xactly.
  • Experience with CaptivateIQ.
  • Experience working with Sales Compensation or Incentive Compensation Management (ICM) platforms.
  • Experience supporting Revenue Operations or Sales Operations teams.
  • Experience with Snowflake Cortex.
  • Experience implementing AI-driven data workflows.
  • Experience working with Finance or Commission-related datasets.
Come join us in breaking the mold and revolutionizing the tech landscape!

You can also apply here:

Website: https://www.oowlish.com/work-with-us/
LinkedIn: https://www.linkedin.com/company/oowlish/jobs/
Instagram: https://www.instagram.com/oowlishtechnology/
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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