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Remote Hedge Fund Data Engineer Jobs in Decatur, GA

... engineering services present in nearly 50 countries. The end client is in the Telecom area ... Remote, Atlanta preferred. Hands-on experience in Neo4j database development, deployment and ...

Senior Azure DevOps Engineer

Atlanta, GA ยท On-site +1

$127K - $163K/yr

Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the ... You'll enjoy working 100% remote in this full-time position. What You'll Do * Architect, implement ...

... engineering services present in nearly 50 countries. The end client is in the Telecom area ... Remote, Brazil OK, Atlanta preferred. At least 5+ years of overall IT experience. The individual ...

You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data ... remote teams * Strong change management mindset and comfort operating in evolving environments

Software engineering and/or Data Engineering background, especially in one of the major clouds ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

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Remote Hedge Fund Data Engineer information

See Decatur, GA salary details

$43.4K

$126.6K

$173.3K

How much do remote hedge fund data engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for remote hedge fund data engineer in Decatur, GA is $126,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $134,200.00 per year, depending on experience, location, and employer.

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 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, and why are they important?

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 are popular job titles related to Remote Hedge Fund Data Engineer jobs in Decatur, GA? For Remote Hedge Fund Data Engineer jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Remote Hedge Fund Data Engineer jobs in Decatur, GA look for? The top searched job categories for Remote Hedge Fund Data Engineer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Remote Hedge Fund Data Engineer jobs? Cities near Decatur, GA with the most Remote Hedge Fund Data Engineer job openings:

Senior Consultant, M365 Copilot Integrations Engineer

Engineer Up

Atlanta, GA โ€ข Remote

$135K - $175K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 2 days ago


Job description

Senior Consultant, M365 Copilot Integrations Engineer

Location: Atlanta, GA/East Coast Employment: Full-Time, W2 Work Style: Remote

Who We Are

Engineer Up is a Microsoft Power Platform consulting firm. We partner with enterprise clients who have high expectations and high stakes, and we show up ready to support them. We're also a growing company with a lot of opportunity ahead, and we're building a place where people are genuinely proud to work. The people who join us now have a real hand in shaping what that looks like.

Who you are

We're seeking an exceptional Senior M365 Copilot Integrations Engineer to design and deliver cutting-edge, AI-powered solutions within the Microsoft ecosystem. This high-visibility, client-facing role focuses on seamlessly developing integrations in Microsoft 365 Copilot and third-party systems, and transforming how organizations harness AI to enhance their daily workflows and business outcomes.

What You'll do
  • Build and maintain back-end integrations between internal systems and Microsoft Copilot and Copilot Studio.
  • Write code, develop custom MCP servers, and handle both Microsoft and non-Microsoft data source connections.
  • Connecting non-Microsoft data sources to the backend of Copilot Studio
  • Own the technical execution of the integrations effort and adapt as requirements evolve in an ambiguous, fast-moving environment.
Technical Requirements
  • Programming Languages: Proficiency in Python, Java, C#, or TypeScript/JavaScript with 5+ years of hands-on development experience
  • MCP Server Development: Experience building and deploying custom Model Context Protocol (MCP) servers for AI agent integrations
  • API Integration: Strong background in RESTful API design, OAuth 2.0/MSAL authentication, and webhook implementations
  • Database Technologies: Working knowledge of SQL Server, CosmosDB, or other enterprise database systems
  • Version Control & DevOps: Proficiency with Git, Azure DevOps, CI/CD pipelines, and automated testing frameworks
  • Federated Search: Experience implementing federated search solutions across multiple data sources and systems
  • Problem-Solving: Demonstrated ability to work through technical ambiguity and complex integration challenges without heavy direction
Nice to Have's
  • Experience successfully integrating non-Microsoft tools and platforms (Salesforce, ServiceNow, SAP) into the Microsoft ecosystem
  • Microsoft 365 Ecosystem: Experience with Microsoft Copilot, Copilot Studio, Graph API, Semantic Index, and SharePoint Online integration patterns
  • Background developing AI/LLM-powered applications in enterprise environments with measurable business impact
  • Proficiency with Azure services including Functions, Logic Apps, Service Bus, Key Vault, and other cloud-native solutions
  • Enterprise Architecture: Understanding of microservices patterns, event-driven architecture, and scalable system design
  • Security & Compliance: Knowledge of enterprise security frameworks, data governance, and compliance requirements (SOC2, GDPR)
  • Monitoring & Observability: Experience with Application Insights, Log Analytics, and performance optimization techniques
Compensation & Benefits

Salary Range: $135,000 - $175,000 annually, commensurate with experience and qualifications

Comprehensive Benefits Package:

  • Complete medical, dental, and vision coverage
  • Unlimited PTO policy
  • Professional development budget for continuous learning
  • Regular company-sponsored team events and activities
Sound like you?

If you're a M365 Copilot Integrations Engineer who is passionate about delivering meaningful work that drives real business outcomes, and you want to collaborate with a team that maintains the highest professional standards, we want to connect with you.

Important Notes

Please note: Applicants based in California or New York will not be considered for this position. We are currently unable to sponsor or assume sponsorship of employment visas.

Employment Type: FULL_TIME