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Full Stack Data Analyst Jobs in Philadelphia, PA

Sr. Full Stack Engineer

Philadelphia, PA · On-site +1

$140K - $160K/yr

Strong analytical and problem-solving skills * Flexible, team player * Ability to organize and plan ... If you would like more information about how your data is processed, please contact us.

Strong analytical and problem-solving skills * Flexible, team player * Ability to organize and plan ... If you would like more information about how your data is processed, please contact us. apply for ...

... optimize data solutions using DynamoDB, PostgreSQL, S3, and Athena, ensuring high performance ... cause analysis, and continuously improve application performance, scalability, and operational ...

Showing results 41-60

Full Stack Data Analyst information

See Philadelphia, PA salary details

$34.3K

$83.4K

$137.2K

How much do full stack data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for full stack data analyst in Philadelphia, PA is $83,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What is a full stack data analyst?

A full stack data analyst is a professional who handles all aspects of data analysis, including data collection, cleaning, visualization, and reporting, often using tools like SQL, Python, or Tableau. They possess skills across data management, analysis, and presentation, enabling them to work independently through the entire data workflow.

What are popular job titles related to Full Stack Data Analyst jobs in Philadelphia, PA?

For Full Stack Data Analyst jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Analyst jobs in Philadelphia, PA look for?

The top searched job categories for Full Stack Data Analyst jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Full Stack Data Analyst jobs?

Cities near Philadelphia, PA with the most Full Stack Data Analyst job openings:

Infographic showing various Full Stack Data Analyst job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $83,391 per year, or $40.1 per hour.

Full-Stack Engineer

Delphinus Engineering LLC

Philadelphia, PA • On-site

Full-time

Re-posted 27 days ago


Job description

Job Summary:
Delphinus Engineering, Inc. is a professional services company supporting the Defense and Federal markets. The Full-Stack Engineer position is instrumental in designing, developing, and maintaining sophisticated Condition Assessment Systems for naval operations, leveraging modern technologies to build resilient platforms.
Responsibilities:
• Design, build, and enhance event-driven microservices and software utilities using GoLang, with exposure to Javascript and Kotlin.
• Develop critical software upgrades and enhancements for advanced Condition Assessment and Remote Monitoring systems.
• Own the CI/CD pipeline using GitLab CI, Ansible, and Terraform to automate builds, testing, and deployments in a Kubernetes environment.
• Provide RDBMS support for PostgreSQL and time-series databases (e.g., InfluxDB, TimescaleDB), including schema design, optimization, and administration.
• Implement and manage robust monitoring and observability solutions using Prometheus and Grafana to ensure system health and performance.
• Provide engineering services to gather, validate, and analyze shipboard data, troubleshooting issues and supporting the development of equipment logistic models.
• Conduct hardware setup, maintenance, and rigorous software development testing in accordance with IEEE standards.
Qualifications:
Required:
• Bachelor’s level degree in Computer, Electrical or Electronics Engineering, or Mathematics with field of concentration in computer science or equivalent from an accredited college or university.
• At least 5 years of experience in computer design, software development or computer networks including Linux, Kubernetes, RabbitMQ, Vue, GIT.
• At least 5 years of experience in Database Development, Web Development or application development using real-time data acquisition and analysis, batch data processing, data storage and retrieval, and user interface applications.
• Successful applicants must either have an active government security clearance or the ability to receive approval upon position acceptance.
• Must have a valid US passport or the ability to obtain one upon position acceptance.
• Ability to obtain OS certification or complete approved related training within 180 days of hire.
• U.S. Citizenship is required.
• Proven experience developing robust backend services using GoLang.
• Expertise in designing and building event-driven microservices architectures.
• Deep understanding and hands-on experience with container orchestration using Kubernetes.
• Experience with message brokers such as RabbitMQ, Kafka, or NATS.
• Proficiency with API design and implementation using gRPC and GraphQL.
• Strong DevOps mindset with hands-on experience in GitLab CI, Ansible, and Terraform.
• Solid experience with observability tools like Prometheus and Grafana.
• Expert-level proficiency with Git for version control.
• Strong command of Linux environments.
• Advanced SQL skills and experience with relational databases (e.g., PostgreSQL, MS SQL, etc.).
• Experience with time-series databases (e.g, TimescaleDB, InfluxDB, etc.).
Preferred:
• Experience in the design, development, and implementation of machinery lifecycle management software systems.
• Familiarity with and have developed applications using the DoDAF standards.
• A+ CE, CCNA-Security, CND, Network+ CE, or SSCP certification.
• 10+ years of experience developing robust backend services using GoLang.
• 10+ years of expertise in designing and building event-driven microservices architectures.
• 7+ years of deep understanding and hands-on experience with container orchestration using Kubernetes.
• 7+ years of experience with message brokers such as RabbitMQ, Kafka, or NATS.
• 7+ years of proficiency with API design and implementation using gRPC and GraphQL.
• 5+ years of strong DevOps mindset with hands-on experience in GitLab CI, Ansible, and Terraform.
• 7+ years of solid experience with observability tools like Prometheus and Grafana.
• 10+ years of advanced SQL skills and experience with relational databases (e.g., PostgreSQL, MS SQL, etc.).
• 7+ years of experience with time-series databases (e.g, TimescaleDB, InfluxDB, etc.).
• Experience in industrial analytics, machinery diagnostics, or condition-based maintenance (CBM) systems.
• Prior experience delivering Data-as-a-Service (DaaS) or Platform-as-a-Service (PaaS) solutions.
• Familiarity with U.S. Government or Department of Defense development environments.
Company:
Founded in 1994, Delphinus Engineering employs nearly 800 professionals and provides engineering and technical services to the DOD as a prime contractor and teaming partner. Founded in 1994, the company is headquartered in Newtown Square, USA, with a team of 501-1000 employees. The company is currently Late Stage.