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Full Stack Data Analyst Jobs in Pittsburgh, PA (NOW HIRING)

Scalence L.L.C.

Full Stack Engineer

Pittsburgh, PA · On-site

C. is seeking a senior Full Stack Engineer to lead the development and operational support of ... analytics platforms • Data pipeline and data warehousing experience • Financial services or ...

WFNQASD5

Full stack developer

Pittsburgh, PA · On-site

$80K - $100K/yr

As a Full Stack Developer, you will be responsible for designing, developing, and maintaining both ... Strong understanding of web security best practices and data protection. Responsibilities:

BNY

Vice President, Full-Stack Engineer

Pittsburgh, PA · On-site

Vice President, Full-Stack Engineer At BNY, our culture allows us to run our company better and ... data analysis, and a curious, adaptable mindset to keep pace with the rapid evolution of AI and ...

WFNQASD5

Full Stack Developer

Pittsburgh, PA · On-site

$12K - $13K/yr

As a Full Stack Developer, you will be responsible for designing, developing, and maintaining both ... Understanding of web security best practices and data protection regulations. Responsibilities:

WFNQASD5

Full Stack Developer

Pittsburgh, PA · On-site

$12K - $13K/yr

As a Full Stack Developer, you will be responsible for designing, developing, and maintaining both ... Understanding of web security best practices and data protection regulations. Responsibilities:

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All JobsFull Stack Data Analyst JobsFull Stack Data Analyst Jobs in Pittsburgh, PA

Full Stack Data Analyst information

See Pittsburgh, PA salary details

$33K

$80.2K

$132K

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

As of Aug 2, 2026, the average yearly pay for full stack data analyst in Pittsburgh, PA is $80,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,200.00 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 are popular job titles related to Full Stack Data Analyst jobs in Pittsburgh, PA? For Full Stack Data Analyst jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Analyst jobs in Pittsburgh, PA look for? The top searched job categories for Full Stack Data Analyst jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Full Stack Data Analyst jobs? Cities near Pittsburgh, PA with the most Full Stack Data Analyst job openings:
Full Stack Data Analyst jobs near you
Infographic showing various Full Stack Data Analyst job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $80,228 per year, or $38.6 per hour.

Full Stack Engineer

Scalence L.L.C.

Pittsburgh, PA • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Scalence L.L.C. is seeking a senior Full Stack Engineer to lead the development and operational support of business-critical applications in a regulated financial environment. The role involves managing the entire application lifecycle and collaborating with stakeholders to drive technical initiatives and improvements.
Responsibilities:
• Lead end-to-end software development, testing, deployment, and production support activities.
• Design and develop scalable full-stack applications using Java, Angular, and modern engineering practices.
• Build and maintain APIs, microservices, and event-driven integrations.
• Drive application modernization efforts, technical debt reduction, and platform improvements.
• Ensure application resiliency, vulnerability remediation, root-cause analysis, and operational excellence.
• Implement secure SDLC practices, code quality standards, and security controls.
• Develop and maintain CI/CD pipelines, release automation, and deployment strategies.
• Work with cloud and container platforms including Kubernetes and Docker.
• Collaborate with product owners, business teams, operations, and architecture teams to deliver business solutions.
• Participate in production support, incident management, change management, and audit/compliance activities.
• Mentor engineers, conduct code reviews, and promote engineering best practices.
Qualifications:
Required:
• 10+ years of software engineering experience supporting enterprise applications.
• Strong hands-on experience with Java.
• Strong hands-on experience with Angular.
• Strong hands-on experience with Oracle.
• Strong hands-on experience with SQL Server.
• Strong hands-on experience with REST APIs.
• Strong hands-on experience with Microservices Architecture.
• Strong hands-on experience with DevOps & CI/CD.
• Experience with event-driven architectures and messaging platforms such as Kafka or MQ.
• Hands-on experience with cloud technologies (AWS, Azure, or GCP).
• Experience with Docker and Kubernetes.
• Strong understanding of application security, IAM, secrets management, and vulnerability remediation.
• Experience supporting both application development and production operations.
• Strong communication and stakeholder management skills.
• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field.
Preferred:
• Snowflake
• Airflow
• dbt
• AI/ML-enabled applications or analytics platforms
• Data pipeline and data warehousing experience
• Financial services or regulated industry experience
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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