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Search Engine Optimization Manager Jobs in Orange, VA

Search Engine Optimization Manager information

See Orange, VA salary details

$38.5K

$82.9K

$129.4K

How much do search engine optimization manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for search engine optimization manager in Orange, VA is $82,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $93,800.00 per year, depending on experience, location, and employer.

What is the difference between Search Engine Optimization Manager vs Content Marketing Manager?

AspectSearch Engine Optimization ManagerContent Marketing Manager
Primary FocusOptimizing website content for search engines to improve rankingsCreating and managing content strategies to engage audiences
Required SkillsSEO tools, keyword research, analytics, technical SEOContent creation, storytelling, social media, branding
Work EnvironmentDigital marketing teams, SEO agencies, in-house marketingContent teams, marketing departments, media agencies
Common CertificationsGoogle Analytics, SEO certifications, HubSpot Content MarketingContent marketing certifications, HubSpot Content Marketing, Google Analytics

The Search Engine Optimization Manager primarily focuses on improving website visibility through technical and strategic SEO practices. In contrast, the Content Marketing Manager concentrates on developing engaging content to attract and retain audiences. While both roles require strong digital marketing skills and often collaborate, their core responsibilities differ, making this comparison useful for those exploring career paths or hiring needs in digital marketing.

What are some common challenges faced by search engine optimization managers, and how can they be addressed?

Search Engine Optimization Managers often encounter challenges such as keeping up with frequent algorithm updates, measuring the true impact of SEO efforts, and aligning strategies across different departments. Staying informed through industry news and continuous learning is key to adapting to search engine changes. Collaborating closely with content, web development, and marketing teams helps ensure alignment and maximizes SEO effectiveness. Utilizing analytics tools and setting clear KPIs can also aid in tracking progress and demonstrating ROI to stakeholders.

What does a search engine optimization manager do?

As a search engine optimization manager, your primary duties are to develop and implement a company’s SEO strategy. You work with marketing and sales managers to determine the goals of your company and then direct your department to carry out tactics to meet those goals. These tactics include creating web-optimized content for a website, developing a corpus of keywords that drive traffic to the website, developing social media campaign strategies, and improving the performance of search engine results. You also help hire and train new writers and content developers.

What are the key skills and qualifications needed to thrive as a search engine optimization manager, and why are they important?

To thrive as a Search Engine Optimization (SEO) Manager, you need a deep understanding of SEO strategies, keyword research, analytics, and content optimization, often supported by a degree in marketing or a related field. Familiarity with tools such as Google Analytics, SEMrush, Ahrefs, and certifications like Google Analytics or HubSpot SEO are typically required. Strong analytical thinking, communication, and project management skills help SEO Managers collaborate effectively and adapt to algorithm changes. These abilities are crucial for driving organic traffic, improving website rankings, and achieving business growth through search visibility.

What cities near Orange, VA are hiring for Search Engine Optimization Manager jobs?

Cities near Orange, VA with the most Search Engine Optimization Manager job openings:

Software Engineer with Security Clearance

Blackhawk Enterprise Incorporated

Charlottesville, VA • On-site

$109K - $131K/yr

Other

Re-posted 14 days ago


Job description

About the Role
We are seeking an experienced Senior Data Engineer to lead the design, development, and maintenance of our mission-critical data infrastructure, with a focus on bioinformatics and the processing of large-scale genomic data. This role requires a hands-on engineer who can architect robust data solutions, establish best practices for data management, and ensure the scalability and reliability of systems supporting secure government operations. You will be responsible for mentoring team members and driving technical excellence across our data ecosystem.
Primary Responsibilities
Design, build, and maintain scalable, reliable, and performant data pipelines for bioinformatics and genomic data.
Architect and implement data models and database schemas to meet application and analytics requirements.
Lead technical decision-making for the evolution and modernization of our data technology stack.
Establish and enforce data engineering standards, best practices, and architectural patterns.
Mentor junior and mid-level engineers through code reviews, pair programming, and technical guidance.
Optimize and scale our data infrastructure, including microservices, databases, and real-time data streams.
Ensure security compliance and implement secure data handling practices for classified environments.
Troubleshoot and resolve complex production issues across distributed data systems.
Required Technical Skills
Core Languages: Expert-level proficiency in Python and/or Javascript.
Scientific Data Expertise:
Proven experience in bioinformatics, scientific data management, or a related domain involving the processing and analysis of large-scale datasets.
Data Engineering & Processing:
Workflow Orchestration: Deep experience with tools like Apache Airflow, Prefect, or Dagster.
Big Data Frameworks: Hands-on experience with processing frameworks such as Apache Spark.
Stream & Message Brokers: Experience with real-time data streaming using Apache Kafka, RabbitMQ, AWS SQS/SNS, or Azure Service Bus.
Data Storage & Databases:
SQL Databases: Expertise in relational databases (PostgreSQL, MySQL, Oracle) including advanced query optimization and schema design.
Object Stores?
Search & Indexing: Familiarity with search engines like Elasticsearch or OpenSearch.
Cloud & Infrastructure:
Cloud Platforms: Strong experience with services from AWS, Azure, or GCP.
DevOps: Experience with automation tools like Jenkins, GitLab CI/CD, or GitHub Actions as well as infrastructure tools like Helm and Terraform.
Preferred Qualifications
Experience designing event-driven architectures and microservices.
Knowledge of data governance, data quality, and observability frameworks.
Background in migrating legacy data systems to modern, scalable architectures.
Deep understanding of database performance tuning: indexing, partitioning, and connection pooling.
Experience with government security compliance (STIG, ATO, FedRAMP).
Front-end experience with frameworks like React, Vue, or Angular is a plus but not required.
Soft Skills
Strong communication skills for technical documentation and cross-team collaboration.
Ability to balance technical debt with feature delivery in a pragmatic way.
Experience leading technical discussions and making architectural decisions.
Comfortable working in an Agile/Scrum environment.
Education & Experience
Bachelor's degree in Computer Science, Bioinformatics, Engineering, or a related field (or equivalent experience).
7+ years of professional software/data engineering experience.
3+ years in a senior or lead engineering role focused on data systems.
Active security clearance or ability to obtain one (required for DoD work).