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Financial Data Engineer Remote Jobs in Oklahoma (NOW HIRING)

Provide timely and accurate support to customers, agents, and financial professionals regarding ... Technology * NTT DATA will provide a computer and headset for remote work. * Employees are ...

Provide timely and accurate support to customers, agents, and financial professionals regarding ... Technology * NTT DATA will provide a computer and headset for remote work. * Employees are ...

Product Manager Senior- Data Platform

Ponca City, OK · On-site +1

$99K - $130K/yr

Prior hands-on experience in data analytics, data engineering, or analyst roles, with a data-driven ... Drives business and financial results through the selection, design, development and promotion of ...

Make better decisions with clearer data * Reduce avoidable rework and downtime * Improve planning ... Occasional remote work may be possible depending on assignment and business needs. Benefits of ...

$140K - $180K/yr

Collaborate with product, design, data, security, and engineering partners to turn ambiguous AI ... working with remote-first, globally distributed teams * Experience with API-driven design ...

Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar ... Remote position open to candidates based in the United States. * Full-time role with competitive ...

You'll partner closely with data scientists, engineers, and product stakeholders to turn complex ... Experience in a regulated industry (gaming, finance, healthcare) where auditability, explainability ...

Field Engineer

Oklahoma City, OK · Remote

$106K - $126K/yr

Field Engineer - Pipeline Conditioning Remote (US-based) | 60% Travel | $86,000-$126,000+ Total ... Perform gas sampling, data logging, and daily reporting. * Communicate directly with clients and ...

Showing results 21-40

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 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 most commonly searched types of Financial Data Engineer jobs in Oklahoma? The most popular types of Financial Data Engineer jobs in Oklahoma are:
What are popular job titles related to Financial Data Engineer Remote jobs in Oklahoma? For Financial Data Engineer Remote jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Financial Data Engineer Remote jobs in Oklahoma look for? The top searched job categories for Financial Data Engineer Remote jobs in Oklahoma are:
What cities in Oklahoma are hiring for Financial Data Engineer Remote jobs? Cities in Oklahoma with the most Financial Data Engineer Remote job openings:
Infographic showing various Financial Data Engineer Remote job openings in Oklahoma as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Edmond, OK • Remote

$90 - $120/hr

Part-time

Posted 14 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.