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Graph Strategy Jobs in West Virginia (NOW HIRING)

Senior Data Engineer (FedRAMP)

Charleston, WV · Remote

$98K - $133K/yr

Own technical strategy for core data domains; align roadmap and design decisions across partner ... Optimize graph-serving data models and access patterns so complex relationship visualizations ...

Develop cold-start strategies that deliver relevant experiences to new and low-engagement members ... Experience with graph modeling or knowledge graphs applied to customer or relationship data.

Graph Strategy information

See West Virginia salary details

$43K

$96.5K

$168.4K

How much do graph strategy jobs pay per year?

As of Aug 4, 2026, the average yearly pay for graph strategy in West Virginia is $96,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,700.00 and $121,900.00 per year, depending on experience, location, and employer.

What is a graph strategy?

A Graph Strategy job typically involves working with graph databases or technologies to analyze and model complex relationships among data points. Professionals in this role develop strategies for leveraging graph structures to solve business problems, such as optimizing network connections, detecting fraud, or improving recommendation systems. They often collaborate with data scientists, engineers, and business stakeholders to design, implement, and maintain graph-based solutions. This job requires strong analytical skills, a deep understanding of graph theory, and experience with graph database technologies like Neo4j. The goal is to extract valuable insights from interconnected data to drive strategic decisions.

How does a graph strategy professional typically collaborate with data engineers and business analysts within an organization?

A Graph Strategy professional often acts as a bridge between technical teams (like data engineers) and business stakeholders (such as business analysts). They work closely with data engineers to design and optimize graph databases or knowledge graphs, ensuring that the underlying data structures support business needs. Simultaneously, they partner with business analysts to identify use cases, interpret data relationships, and translate business questions into graph queries or visualizations. This role requires both technical understanding and strong communication skills to align data assets with strategic business objectives.

What is the difference between Graph Strategy vs Data Analyst?

AspectGraph StrategyData Analyst
Required CredentialsOften requires knowledge of data visualization, analytics tools, and strategic planningTypically requires a degree in statistics, mathematics, or related fields; proficiency in Excel, SQL, and data analysis software
Work EnvironmentStrategic planning sessions, data visualization projects, cross-department collaborationData collection, cleaning, analysis, reporting, and presenting insights
Employer & Industry UsageUsed in marketing, finance, and tech companies for strategic decision-makingCommon in business, finance, healthcare, and tech sectors for data-driven insights

While both roles involve working with data, Graph Strategy focuses on creating visual data representations to inform strategic decisions, whereas Data Analysts primarily analyze data sets to generate actionable insights. Understanding these differences helps organizations assign the right roles for their data needs.

What are the key skills and qualifications needed to thrive as a graph strategy professional, and why are they important?

To thrive as a Graph Strategy professional, you need a strong background in mathematics, data analysis, and graph theory, often supported by a degree in computer science, mathematics, or a related field. Familiarity with graph databases (e.g., Neo4j), data visualization tools, and relevant programming languages like Python or Cypher is typically required. Strategic thinking, problem-solving, and effective communication are essential soft skills for translating complex data insights into actionable business strategies. These skills enable professionals to leverage graph structures for advanced analytics, driving informed decisions and competitive advantage.
What are popular job titles related to Graph Strategy jobs in West Virginia? For Graph Strategy jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Graph Strategy jobs in West Virginia look for? The top searched job categories for Graph Strategy jobs in West Virginia are:
What cities in West Virginia are hiring for Graph Strategy jobs? Cities in West Virginia with the most Graph Strategy job openings:
Infographic showing various Graph Strategy job openings in West Virginia as of July 2026, with employment types broken down into 2% Locum Tenens, 60% Full Time, 34% Part Time, and 4% Contract. Highlights an 54% Physical, 3% Hybrid, and 43% Remote job distribution, with an average salary of $96,507 per year, or $46.4 per hour.

Senior Data Engineer (FedRAMP)

SailPoint

Charleston, WV • Remote

$98K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

This is a remote role within the United States. Due to FedRAMP requirements, this role requires US citizenship.

Join the team building SailPoint Observability & Insights, an industry-leading visualization capability for identity governance that shows every access path from identities to sensitive data and enables fast, policy-driven action from a unified view. This is a Senior role: you will design and build critical systems, set technical direction, and lead cross-team execution.

You will own core data platform capabilities behind Observability & Insights (powered by SailPoint's internal Identity Graph), spanning batch and streaming pipelines, warehousing, and graph-oriented storage. You will help power a graph with billions of nodes and edges, where backend architecture directly determines UX speed, clarity, and trust.

Responsibilities
  • Lead architecture and implementation of scalable ETL/ELT pipelines and data services for Observability & Insights.

  • Own technical strategy for core data domains; align roadmap and design decisions across partner teams.

  • Act as primary technical lead for cross-team initiatives with clear delivery outcomes.

  • Set and enforce standards for data quality, governance, lineage, observability, and operational readiness.

  • Drive performance and cost improvements across Spark/Flink/SQL/CQL workloads and storage patterns.

  • Optimize graph-serving data models and access patterns so complex relationship visualizations remain responsive at extreme scale.

  • Partner closely with product and UI engineering to deliver low-latency experiences for graph exploration, filtering, and risk investigation.

  • Lead design reviews and provide high-signal code and architecture feedback.

  • Use AI-assisted development practices to accelerate delivery while upholding architecture, security, data governance, and code-review standards.

  • Partner with product, infrastructure, security, and analytics teams to define practical solutions.

  • Participate in on-call for critical systems and lead incident follow-throughs that improve system resilience.

Requirements
  • 5+ years building production software, with substantial time in data engineering at SaaS scale.

  • 4+ years owning architecture for commercial data platforms or major data subsystems.

  • US Citizenship is required for this position due to FedRAMP support responsibilities.

  • Expert experience with Snowflake data modeling and query optimization.

  • Strong hands-on experience with dbt, Airflow, and distributed processing patterns (batch + streaming).

  • Strong experience with Cassandra and familiarity with graph-oriented data systems.

  • Experience building or operating systems that handle billions of relationships with predictable latency and high reliability.

  • Deep understanding of cloud-native systems on AWS, Azure, or GCP.

  • Proven record of leading high-complexity projects across team/org boundaries.

  • Practical experience using AI-assisted software development tools (e.g., GitHub Copilot, Cursor, or Claude Code) in a professional engineering workflow, including data modeling, SQL/dbt, and pipeline development, testing, and documentation, with disciplined review before production use.

  • Proven ability to improve team-level delivery quality (planning, dependencies, execution, reliability).

  • Strong communication skills: can explain tradeoffs to engineers, product leaders, and executives.

  • BS in Computer Science, Engineering, or equivalent practical experience.


Preferred
  • Experience running data platforms with SLOs and modern observability (Grafana, Prometheus, Datadog).

  • Experience instrumenting data jobs and services for performance, quality, and cost visibility.

  • Familiarity with IAM/IGA, compliance, security, or privacy-sensitive product domains.

  • Experience with Kubernetes, infrastructure-as-code, and continuous delivery for data systems.

  • Familiarity with data lake patterns and Spark/Flink operational tuning.

What success looks likeFirst 30 days
  • Ramp quickly on Observability & Insights architecture, operations, and roadmap.

  • Contribute meaningful improvements (reliability, performance, or design quality).

  • Build strong working relationships with key partner teams.

By 90 days
  • Own a major data-layer initiative end to end.

  • Publish and align a technical strategy for your domain with partner teams.

  • Raise design and execution quality through reviews, standards, and clear technical direction.

By 6 months
  • Deliver at least one cross-team, high-impact program with measurable product and engineering outcomes.

  • Establish durable architecture and operating practices that improve reliability, cost, and delivery speed.

  • Improve end-user graph exploration performance for dense, large-scale relationship paths.

  • Be a recognized technical leader for Observability & Insights data architecture and execution.


Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.


As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint's differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-max, USD):

$112,500 - $189,626.00

Base salaries for employees based in other locations are competitive for the employee's home location.

Benefits Overview

1. Health and wellness coverage: Medical, dental, and vision insurance

2. Disability coverage: Short-term and long-term disability

3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)

4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children

5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account

6. Financial security: 401(k) Savings and Investment Plan with company matching

7. Time off benefits: Flexible vacation policy

8. Holidays: 8 paid holidays annually

9. Sick leave

10. Parental support: Paid parental leave

11. Employee Assistance Program (EAP) and Care Counselors

12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options

13. Health Savings Account (HSA) with employer contribution

SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.

Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.