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Financial Data Engineer Remote Jobs in Utah (NOW HIRING)

Graymont Limited

Remote Operations Engineer

Sandy, UT · On-site +1

$66K - $89K/yr

United States - UT - Sandy Remote Operations Engineer Full-Time, Permanent Sandy, UT (In-person ... Ability to read and interpret electronic data to make informed decisions related to processing ...

Xbow

Simulation Integration Engineer

Magna, UT · On-site +1

You will collaborate closely with domain experts, software engineering, and data engineering to ... Location: Remote work is possible, but hybrid is preferred in one of our primary engineering ...

Wsgr

Principal Solutions Engineer

Salt Lake City, UT · On-site +1

... finance and advise them. The firm has approximately 1,100 attorneys in 17 offices: 13 in the U.S ... The ideal candidate will have a strong background in solution design, data management, and ...

MasterCard

Lead Data Scientist

Holladay, UT · On-site +1

Financial Certainty; Attribute, Feature, and Entity Resolution; Verification Solutions and much ... data engineering to develop scalable solutions. - Identify areas where resources fall short of ...

UnitedHealth Group

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80K - $101K/yr

... volumes of financial and credit data from enterprise data warehouses * Leverage Python (e.g., pandas, NumPy) to perform advanced data analysis, automation, validation, and feature engineering ...

UnitedHealth Group

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80K - $101K/yr

... volumes of financial and credit data from enterprise data warehouses * Leverage Python (e.g., pandas, NumPy) to perform advanced data analysis, automation, validation, and feature engineering ...

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Financial Data Engineer Remote information

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 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 engineer makes $500,000 a year?

Senior financial data engineers or those in executive or specialized roles with extensive experience and advanced skills in data architecture, cloud platforms, and programming can earn $500,000 or more annually. Such high salaries are typically found in large organizations, financial firms, or tech companies with competitive compensation packages and performance bonuses.

What engineers make $300,000 a year?

Senior financial data engineers or data architects with extensive experience, advanced skills in data modeling, programming, and cloud platforms can earn $300,000 or more annually. High compensation often involves working in large organizations, with specialized expertise, and sometimes includes bonuses or stock options.

Can I work remotely as a data engineer?

Yes, many data engineering roles, including those for financial data engineers, are available as remote positions. These jobs typically require strong skills in programming, data pipelines, and cloud platforms, and often involve collaboration through online tools. Remote work arrangements depend on the employer's policies and the specific role requirements.

Can I make 200K as a data engineer?

Financial Data Engineers with extensive experience, advanced skills in SQL, Python, and cloud platforms, and working in high-demand industries can potentially earn salaries of $200,000 or more, especially in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some remote positions offering competitive pay at this level.

What are the key skills and qualifications needed to thrive as a Financial Data Engineer in a remote role, and why are they important?

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.
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Financial Data Engineer Remote jobs near you

Lead Backend Engineer (AI Infrastructure & Data Platforms) | USA

C&D Talent Advisory

Salt Lake City, UT • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About the Hiring Process

When you apply, our AI-powered matching platform considers you not only for this opportunity, but also for other relevant roles across our network, so one application can unlock multiple career opportunities.

We only work with real companies hiring for live positions. Every opportunity on our platform is an active search. If there's a strong match, we'll guide you through the process. If not, we won't ignore you.

About the Company

Our client is building the next generation of AI-powered governance infrastructure, creating intelligent software that transforms how complex organisations manage knowledge, workflows, and decision-making.

Their platform combines AI, automation, distributed systems, and data engineering to power large-scale governance, analytics, and business intelligence. As they continue to scale, they're looking for exceptional engineers who enjoy solving technically challenging problems and building products with real-world impact.

  • Location: Remote (United States)
  • Employment Type: Full-time
  • Level: Lead
  • Work Authorization: Existing US work authorization required.
About the Role

We're looking for a Lead Backend Engineer to build the core automation engine and data platform powering next-generation AI systems.

This is a highly hands-on engineering role where you'll architect scalable backend services, build production-grade data pipelines, develop AI infrastructure, and own complex distributed systems from design through production.

What You'll DoBackend Engineering;
  • Design and build scalable backend services using TypeScript and Node.js
  • Develop production-ready APIs and distributed systems
  • Build automation platforms that improve complex business workflows
  • Architect reliable, scalable backend infrastructure
Data Platforms;
  • Build robust data pipelines integrating third-party APIs and external data sources
  • Design scalable relational database schemas and data models
  • Ensure data integrity, monitoring, validation, and observability
  • Develop infrastructure supporting business intelligence and AI applications
AI Infrastructure;
  • Build systems supporting AI agents and intelligent automation
  • Develop scalable execution environments for AI-powered workflows
  • Create secure, traceable, and reliable automation platforms
  • Contribute to next-generation knowledge management systems
Technical Leadership;
  • Lead projects from architecture through production deployment
  • Drive engineering best practices and technical excellence
  • Identify technical risks early and deliver incrementally
  • Collaborate across engineering and product teams to solve complex problems
What We're Looking ForMust Have;
  • 5+ years building production backend or server-side systems
  • Strong TypeScript and Node.js expertise
  • Experience with Python, Go, Rust, or Java
  • Advanced SQL and relational database design
  • Experience building production data pipelines
  • Experience integrating third-party APIs
  • Strong distributed systems knowledge
  • Excellent system design and architecture skills
  • High ownership and execution mindset
  • Experience leading complex technical initiatives
Nice to Have;
  • AI infrastructure or LLM experience
  • Blockchain or distributed ledger experience
  • Experience with Notion, Supabase, or similar platforms
  • Event-driven architectures
  • Open-source contributions
  • PostgreSQL expertise
  • Observability and monitoring platforms
  • Startup or high-growth company experience
What We Offer
  • Competitive USD compensation
  • Equity and token participation
  • Performance-based bonuses
  • Fully remote within the United States
  • High ownership from day one
  • Opportunity to build cutting-edge AI infrastructure
  • Small, high-performing engineering team
  • Collaborative, fast-paced environment focused on solving meaningful technical challenges

If you're excited about building scalable backend systems, AI-powered infrastructure, and distributed platforms that push the boundaries of intelligent software, we'd love to hear from you...