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Remote Data Analytics Instructor Jobs in Richmond, VA

Sr. Data Engineer

Richmond, VA · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables ...

Sr. Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables ...

Senior Business Analyst, IT Operations

Richmond, VA · On-site +1

$91K - $118K/yr

Remote (must reside within US) Preferred: Reston, VA (hybrid or remote) Ready to Make a Difference ... Our software solution supports complex and data-rich programs, so a desire and experience to ...

Showing results 41-60

Remote Data Analytics Instructor information

See Richmond, VA salary details

$24

$54

$93

How much do remote data analytics instructor jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote data analytics instructor in Richmond, VA is $54.18, according to ZipRecruiter salary data. Most workers in this role earn between $43.56 and $61.39 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Analytics Instructor vs Remote Data Analyst?

AspectRemote Data Analytics InstructorRemote Data Analyst
Required CredentialsTypically a degree in data science, analytics, or related field; teaching certifications are a plusDegree in data science, statistics, or related field; often requires proficiency in analytics tools
Work EnvironmentOnline teaching platforms, educational institutions, corporate trainingRemote offices, companies, or consulting firms
Employer & Industry UsageEducational institutions, online course providers, corporate training programsBusinesses across industries, consulting firms, finance, healthcare, tech

While both roles involve data skills, a Remote Data Analytics Instructor focuses on teaching and curriculum development in educational settings, whereas a Remote Data Analyst applies data analysis techniques directly to business problems. The roles share similar credentials but differ mainly in their primary responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a remote data analytics instructor?

To thrive as a Remote Data Analytics Instructor, you need a strong background in data analytics, statistics, and teaching, usually demonstrated by a relevant degree and industry experience. Familiarity with data analysis tools such as Excel, SQL, Python, R, and learning management systems (LMS) is essential, along with certifications like Tableau or Google Data Analytics. Excellent communication, patience, and the ability to engage and motivate remote learners are valuable soft skills in this role. These skills ensure effective instruction, student engagement, and successful learning outcomes in a virtual environment.

What are some common challenges faced by remote data analytics instructors, and how can they be effectively managed?

Remote Data Analytics Instructors often encounter challenges such as maintaining student engagement in a virtual setting, addressing diverse learning paces, and ensuring clear communication despite not being physically present. To manage these, instructors can leverage interactive teaching tools, schedule regular check-ins, and provide a variety of learning resources to accommodate different student needs. Building a supportive online community and encouraging active participation also help foster a collaborative and effective learning environment.

What does a remote data analytics instructor do?

A Remote Data Analytics Instructor teaches students data analysis concepts and tools through online platforms. They develop and deliver course materials, lead live or recorded lessons, and provide feedback on assignments. Instructors often cover topics like data visualization, statistical analysis, and using software such as Excel, Python, or SQL. Their goal is to help students gain practical skills for analyzing and interpreting data in real-world scenarios.
What job categories do people searching Remote Data Analytics Instructor jobs in Richmond, VA look for? The top searched job categories for Remote Data Analytics Instructor jobs in Richmond, VA are:
What cities near Richmond, VA are hiring for Remote Data Analytics Instructor jobs? Cities near Richmond, VA with the most Remote Data Analytics Instructor job openings:

Director, Software Engineer Finance Tech - (Remote Eligible)

Capital One

Richmond, VA • On-site, Remote

$250K/yr

Full-time

Re-posted 8 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks


Job description

Director, Software Engineer Finance Tech - (Remote Eligible)

As a Capital One Director of Software Engineering, you'll work on everything from forward-looking forecasting frameworks and strategic planning tools to high-throughput data engineering pipelines, back-end systems, and machine learning models using the latest techniques in Big Data. You will sit at the intersection of core business strategy and advanced technology, leading teams to build next-generation data infrastructure side-by-side with quantitative data scientists and business leaders. You'll bring solid experience in emerging and traditional data technologies, cloud platforms, and analytical disciplines such as: Python, SQL, Spark, Scala, Snowflake, Databricks, AWS/Cloud Infrastructure, Apache Airflow, MLOps,, machine learning frameworks, and large-scale enterprise data systems, to name a few.

You will:

  • Lead, manage, and grow multiple forward-thinking teams of software, data, and platform engineers.

  • Mentor and guide the professional and technical development of engineers, fostering a culture of innovation.

  • Partner with product managers, data scientists, and system architects to translate complex business strategies into executable technical intent.

  • Continuously elevate engineering practices, pioneering spec-driven and intent-driven architectures to minimize friction and maximize build quality.

  • Design, implement, and support scalable backend solutions, effectively integrating custom data pipelines with COTS platforms and custom software capabilities, using advanced CI/CD frameworks.

  • Lead the craftsmanship, availability, resilience, and scalability of analytics engines and data infrastructure.

  • Bring a passion for staying on top of tech trends, experimenting with emerging agentic frameworks, participating in technology communities, and mentoring members of the broader engineering ecosystem.

  • Encourage innovation, the implementation of cutting-edge technologies, inclusion, outside-the-box thinking, and highly autonomous, distributed teamwork.

  • Collaborate across engineering organizations to optimize system throughput, streamline complex dependencies, and accelerate the delivery of intelligent capabilities.

  • Lead efforts to design and deploy highly available, cloud-native solutions, data systems, and automated frameworks into AWS environments.

Basic Qualifications:

  • Bachelor's Degree

  • At least 7 years of experience in software engineering

  • At least 5 years of experience in people management

Preferred Qualifications:

  • Master's Degree in Computer Science or Master's Degree in Software Engineering

  • 10+ years of experience in software engineering

  • 5+ years of experience in Agile practices

  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

Capital One is open to hiring a Remote Employee for this opportunity.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $244,700 - $279,200 for Director, Software Engineering


Cambridge, MA: $269,100 - $307,200 for Director, Software Engineering


McLean, VA: $269,100 - $307,200 for Director, Software Engineering


Richmond, VA: $244,700 - $279,200 for Director, Software Engineering








Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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