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Remote Data Mining Jobs in Suffolk, VA (NOW HIRING)

Sentara Healthcare

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas ...

USAA

Decision Science Analyst Senior

Chesapeake, VA · On-site +1

$85K - $113K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data). * Identifies ...

USAA

Decision Science Analyst Senior

Chesapeake, VA · On-site +1

$85K - $113K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data). * Identifies ...

Booz Allen Hamilton, Inc.

Data Scientist

Norfolk, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0245322 Location: Norfolk,VA,US Share job via: Share Data Scientist The Opportunity: Design and implement effective AI solution architecture utilizing approaches of ...

All JobsData Mining JobsRemote Data Mining JobsRemote Data Mining Jobs in Suffolk, VA

Remote Data Mining information

See Suffolk, VA salary details

$43.8K

$157K

$231.6K

How much do remote data mining jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote data mining in Suffolk, VA is $156,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,700.00 per year, depending on experience, location, and employer.

What is remote data mining?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

What skills and qualifications are needed for remote data mining?

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

How do you become a remote data mining?

To become a remote data miner, you typically need a strong foundation in data analysis, statistics, and programming languages such as Python or R. Gaining experience with data mining tools, databases, and machine learning techniques, along with relevant certifications or degrees, can improve your chances of securing a remote position in this field.

What are the most commonly searched types of Data Mining jobs in Suffolk, VA?

The most popular types of Data Mining jobs in Suffolk, VA are:

What are popular job titles related to Remote Data Mining jobs in Suffolk, VA?

For Remote Data Mining jobs in Suffolk, VA, the most frequently searched job titles are:

What job categories do people searching Remote Data Mining jobs in Suffolk, VA look for?

The top searched job categories for Remote Data Mining jobs in Suffolk, VA are:

What cities near Suffolk, VA are hiring for Remote Data Mining jobs?

Cities near Suffolk, VA with the most Remote Data Mining job openings:

Remote Data Mining jobs near you

Data Engineer - Remote

Virginia Beach, VA • On-site, Remote

Sentara Healthcare
Hospitals • 10K+ employees

6.7

Company rating: 6.7 out of 10

Based on 414 frontline employees who took The Breakroom Quiz

532nd of 895 rated healthcare providers

People enjoy working here

Recommended by students

Good schedule notice

Learn more about Sentara Healthcareexternal

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

City/State
Virginia Beach, VA
Work Shift
First (Days)
Overview:
Sentara is hiring a Data Engineer!
This is a fully remote position.
Work Location:
Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington (state), West Virginia, Wisconsin, Wyoming
Overview
We are looking for a Data Engineer to support a modern data platform built on Databricks. This role will focus on building scalable data pipelines, supporting a metadata-driven ingestion framework, and ensuring data quality and governance are embedded into the platform.
Key Responsibilities
  • Develop and maintain data pipelines using PySpark and Databricks
  • Work within a metadata-driven ingestion framework to onboard new datasets
  • Implement data quality checks and validation rules within pipelines
  • Support ingestion from file-based sources and ingestion tools (e.g., Fivetran)
  • Handle schema changes, incremental loads, and file processing patterns
  • Contribute to data governance practices including tagging, metadata, and lineage
  • Troubleshoot and resolve pipeline failures and performance issues
  • Collaborate with architects and stakeholders on data onboarding and requirements
  • Follow and contribute to coding standards, reusable components, and best practices

Education
  • Experience in lieu of a Bachelor's Degree
  • 3+ years of relevant experience with a degree
  • 5+ years of relevant experience without a degree

Certification/Licensure
  • No specific certification or licensure requirements

Experience
  • Required to 3 to 5 years of relevant experience
  • Hands-on experience with PySpark and Databricks
  • Strong SQL skills
  • Experience building ETL/ELT data pipelines
  • Understanding of Delta Lake concepts (merge, schema evolution, partitions)
  • Familiarity with cloud platforms (Azure preferred)
  • Basic experience with Git and version control
  • Exposure to data catalog or governance tools (e.g., DataHub)
  • Experience with Fivetran or similar ingestion tools
  • Understanding of data quality and validation concepts
  • Experience working with metadata-driven frameworks
  • Strong problem-solving and debugging skills
  • Ability to work in a structured, framework-driven environment
  • Focus on data quality, not just pipeline execution
  • Willingness to learn and adapt in a fast-evolving data ecosystem

We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: 80,204.80 - 133,681.60. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.
Keywords: Data Engineer, Azure, ACP, Azure Cloud Platform, Fivetran, metadata, PySpark, Databricks
Benefits: Caring For Your Family and Your Career
• Medical, Dental, Vision plans
• Adoption, Fertility and Surrogacy Reimbursement up to 10,000
• Paid Time Off and Sick Leave
• Paid Parental & Family Caregiver Leave
• Emergency Backup Care
• Long-Term, Short-Term Disability, and Critical Illness plans
• Life Insurance
• 401k/403B with Employer Match
• Tuition Assistance - 5,250/year and discounted educational opportunities through Guild Education
• Student Debt Pay Down - 10,000
• Reimbursement for certifications and free access to complete CEUs and professional development
• Pet Insurance
• Legal Resources Plan
• Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.
Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves.
In support of our mission "to improve health every day," this is a tobacco-free environment.
For positions that are available as remote work, Sentara Health employs associates in the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

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