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Financial Data Engineer Remote Jobs in Buffalo, NY

Clarasight

Data Scientist

Boston, NY · On-site +1

... financial and travel spend data, collaborate closely with advisory, forecasting, and engineering ... Remote and Hybrid work environments. * Robust benefits including full medical, dental and vision ...

100 Degrees Consulting

Be Seen First

Nonprofit Finance Manager

Clarence Center, NY · Remote

$70K - $85K/yr

Translate financial data into clear, actionable analysis for nonprofit leaders and boards * Conduct ... Remote - Full-time, exempt position * 8-hour shift, closely aligned with a 9am-5pm Eastern schedule

NTT DATA Services

Mainframe Systems Programmer

Buffalo, NY · On-site +1

$95K - $177K/yr

Req ID: 372241 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... remote position, but you must have the required Mainframe experience to be considered. This ...

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Financial Data Engineer Remote information

See Buffalo, NY salary details

$43.1K

$125.7K

$171.9K

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

As of Aug 30, 2026, the average yearly pay for financial data engineer remote in Buffalo, NY is $125,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $133,200.00 per year, depending on experience, location, and employer.

What does a financial data engineer do in a remote role?

A Financial Data Engineer designs, builds, and maintains systems that process and analyze large sets of financial data. Working remotely, they collaborate with teams to develop data pipelines, integrate financial databases, and ensure the reliability of data used for financial analysis and reporting. They often use programming languages like Python or SQL, and work with big data tools to support data-driven decision-making for financial institutions or fintech companies. Their work is crucial to transforming raw financial data into actionable insights.

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

To thrive as a Financial Data Engineer (Remote), you need strong programming skills (such as Python or SQL), experience with data modeling, and a background in finance or quantitative analysis, often supported by a relevant degree. Proficiency with big data platforms (like Hadoop or Spark), ETL tools, and cloud data services (such as AWS or Azure) is typically required, alongside certifications in data engineering or finance. Excellent problem-solving, communication, and time management skills help you collaborate effectively and independently in a distributed environment. These capabilities are crucial for building reliable financial data pipelines, ensuring data quality, and supporting timely, data-driven business decisions.

What are the typical challenges faced by remote financial data engineers when collaborating with cross-functional teams?

Remote Financial Data Engineers often work closely with data analysts, software developers, and business stakeholders across different time zones. One common challenge is ensuring effective communication and alignment on project requirements, especially when dealing with complex financial data pipelines and evolving business needs. Utilizing collaborative tools, maintaining clear documentation, and participating in regular virtual meetings can help bridge gaps and foster productive teamwork. Staying proactive about updates and being responsive to feedback are key to ensuring smooth collaboration in a remote environment.

What are the most commonly searched types of Financial Data Engineer jobs in Buffalo, NY?

The most popular types of Financial Data Engineer jobs in Buffalo, NY are:

What are popular job titles related to Financial Data Engineer Remote jobs in Buffalo, NY?

For Financial Data Engineer Remote jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Financial Data Engineer Remote jobs in Buffalo, NY look for?

The top searched job categories for Financial Data Engineer Remote jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Financial Data Engineer Remote jobs?

Cities near Buffalo, NY with the most Financial Data Engineer Remote job openings:

Financial Data Engineer Remote jobs near you
Infographic showing various Financial Data Engineer Remote job openings in Buffalo, NY as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $125,652 per year, or $60.4 per hour.

Data Solutions Architect

Buffalo, NY • Remote

Imagine Staffing Technology
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Imagine Staffing Technologyexternal

Full-time

Re-posted 14 days ago

Job description

Job Title: Data Solutions Architect
Location: Remote
Hire Type: Contingent 
Target Hourly Rate: $80.00/hour
Work Model: Remote (with travel to Buffalo, NY every 4-6 weeks)
Contact Email: bfesmire@imaginestaffing.net
 
No C2C, C2H, 1099 or Visa Sponsorship/Transfer available
 
Nature & Scope:
Positional Overview
We are seeking a visionary Data Solutions Architect to help lead the design and delivery of enterprise-grade data platforms and solutions that enable advanced analytics and business intelligence. This role requires deep expertise in data engineering, cloud-native architecture, and modern data technologies. The architect will work closely with engineering, product, and compliance teams to build secure, scalable, and regulatory-compliant data solutions. All solutions must align with the principles, standards, and reference architectures established by the Enterprise Architecture function, ensuring consistency, interoperability, and strategic fit across the organization.
 
Role & Responsibility:
Tasks That Will Lead To Your Success
 
  • Solution Architecture: Architect and deliver cloud-based data platforms (e.g., Azure Data Lake) and scalable data pipelines using technologies such as Databricks, Kafka, etc.
  • ETL/ELT Frameworks: Develop and implement ETL/ELT frameworks for ingesting, transforming, and integrating data from diverse sources, including legacy financial systems, SaaS platforms, and real-time data streams.
  • Data Platform Deployment: Design and oversee deployment of data warehouses, lakehouses, and analytics sandboxes to support business intelligence, machine learning, and reporting needs inclusive of Power BI and Snowflake.
  • Data Governance: Define and enforce data governance, metadata management, and data quality standards in accordance with Enterprise Architecture guidance and regulatory requirements.
  • Enterprise Architecture Collaboration: Collaborate with Enterprise Architecture to ensure all solutions adhere to architectural standards, reference models, and technology roadmaps.
  • Technology Evaluation: Lead technical evaluations and proof-of-concept projects for emerging data technologies (e.g., real-time analytics, data mesh, AI/ML platforms).
  • Technical Documentation: Produce deliverables such as architecture diagrams, data flow maps, security models, and technical documentation for solution handoff and operational support.
  • Agile/DevOps Leadership: Guide Agile/DevOps teams in implementing CI/CD pipelines, automated testing, and infrastructure-as-code for data solutions.
 
 
Skills that will Lead To Your Success
  • Data engineering platforms, big data technologies, and cloud-native development (microservices, Kubernetes).
  • API design (REST) and integration tools (ETL/ELT).
  • Stakeholder communication (technical and non-technical audiences).
  • Leadership in Agile/DevOps environments.
  • Analytical problem-solving for complex data systems.
  • Project management: proficiency in tools like Jira; familiarity with SDLC and CI/CD pipelines.
  • Foundational Understanding: Data modeling, data pipeline orchestration, data quality management, metadata management, and data lifecycle.
  • Data Platforms: Data lakes, warehouses, and lake house architectures; distributed systems and cloud data services.
  • Data Engineering: ETL/ELT processes, real-time and batch data processing, data integration, and automation.
  • Financial Systems: Payment networks, liquidity management, and settlement processes (as relevant to data flows).
  • Regulatory Landscape: Global data privacy regulations (GDPR, CCPA) and compliance tools.
  • Security: Data encryption, access controls, and penetration testing methodologies.                
 
 
Education And Experience Required:
  • Education: Bachelor’s/Master’s in Computer Science, Engineering, or related field.
  • Certifications: AWS/Azure Solutions Architect, Certified Data Engineer, or similar
  • Experience: 5+ years in solution architecture or technical implementation, with 2+ years in data engineering or enterprise data platforms.
  • Proficient in system design, integration, and implementation across multiple technology domains.
  • Proven track record in deploying scalable financial systems (e.g., payment gateways, digital wallets, stablecoin or cryptocurrency systems preferred)