eNGINE

About the Company

eNGINE is a Pittsburgh-based Solutions firm specializing in building Technical and Cyber Security teams. We are a trusted business partner to our clients, and provide resources for Project based Consulting, Contract to hire and Direct Hire. We pride ourselves in building lasting relationships with both our consultants as well as our client partners, and aligning the two when the right fit arises.

eNGINE applies over 85 years of collective experience representing Consultants, uncovering passive full time hires, and building Technology teams in Pittsburgh. It's understood that the wrong resource at the right time is worse than no resource at all. You don't take shortcuts. Neither do we. Successful outcomes start and finish with eNGINE.

Listed Jobs

Company Name

eNGINE

Job Title

Business Analyst

Job Description

Job title: Business Analyst (ServiceNow & ITSM) Role Summary: Serve as the primary business liaison for enterprise ServiceNow initiatives, driving requirements capture, stakeholder alignment, and delivery across development, QA, and operations teams. Expectations: - Manage 20,000+ user environment projects. - Communicate effectively with senior leadership, vendors, and cross‑functional teams. - Deliver enterprise‑scale solutions within ITSM domain. Key Responsibilities: - Partner with stakeholders and product managers to gather, document, and prioritize business and technical requirements. - Oversee end‑to‑end delivery of requirements, removing blockers and coordinating across development, QA, and product teams. - Collaborate with product and process owners to shape product strategy, influence roadmaps, and secure senior leadership alignment. - Analyze new use cases, work with architecture teams on solution options and proofs of concept. - Provide clear, timely status updates to leadership supporting proactive communication. - Contribute to continuous improvement of Service Management and ITSM processes. Required Skills: - 6+ years experience as a Business Analyst on enterprise applications (≥20,000 users). - Strong written and verbal communication; ability to create clear documentation and present to senior leaders. - Vendor relationship management experience. - 5+ years hands‑on experience with ServiceNow ITSM modules (Incident, Problem, Change, Request) and related components (CMDB/CSDM, Service Catalog/Portal, SDLC). - Solid understanding of ITIL v3 or v4. - Experience managing stories, epics, defects, and releases in ServiceNow. Required Education & Certifications: - Bachelor’s degree in Business, Information Systems, or related field. - ITIL Foundation (v3/v4) certification. - Enterprise‑level ServiceNow certification preferred.

New york city, United states

Hybrid

Mid level

29-12-2025

Company Name

eNGINE

Job Title

Cloud Engineer

Job Description

Job Title: Senior Cloud Engineer Role Summary: Design, build, and modernize cloud infrastructure across AWS and Azure, leveraging Terraform and IaC principles. Lead automation, DevSecOps practices, and security‑focused metrics while operating autonomously with minimal oversight. Expectations: - Own end‑to‑end cloud workstreams and deliver high‑quality, scalable solutions. - Proactively identify and implement modernization opportunities. - Communicate effectively in cross‑functional teams and influence architectural direction. Key Responsibilities: - Architect and deploy scalable, repeatable cloud environments on AWS & Azure using Terraform. - Refactor legacy lift‑and‑shift assets into optimized, automation‑driven pipelines. - Integrate CI/CD (GitHub, Jenkins) with DevSecOps best practices to ensure continuous delivery and compliance. - Develop security‑focused KPIs, dashboards, and operational health metrics. - Conduct secure cloud design reviews and propose improvements. - Stay abreast of cloud platform enhancements, security trends, and modernization techniques. Required Skills: - 7+ years in cloud engineering, security engineering, or DevOps. - Hands‑on expertise with AWS, Azure, Terraform, and IaC. - Proficient with GitHub, Jenkins, and CI/CD pipeline design. - Strong grasp of DevSecOps principles and secure architecture. - Excellent communication, collaboration, and independent problem‑solving. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Technology, or related field. - Relevant certifications (AWS Certified Solutions Architect, Azure Solutions Architect, Security+; CISSP) are advantageous but not mandatory.

Pittsburgh region, United states

Hybrid

Senior

29-12-2025

Company Name

eNGINE

Job Title

Data Quality Analyst

Job Description

Job Title: Data Governance & Data Quality Analyst Role Summary: Evaluate, remediate, and document data quality issues across enterprise data lakes, MDM, and warehouses, ensuring compliance with regulatory requirements and stakeholder governance processes. Expectations: • Own data quality lifecycle from discovery to resolution. • Collaborate with business, data engineering, and IT to validate root causes and drive remediation. • Produce executive‑ready governance artifacts and metrics. • Manage multiple priority issues in a fast‑paced, deadline‑driven environment. Key Responsibilities: • Review automated monitoring alerts and business‑raised data quality findings to determine scope and impact. • Facilitate cross‑functional sessions to validate issues and assess risk. • Maintain governance artifacts and advance issues through remediation workflows. • Monitor and report operational metrics on data quality health and issue status. • Validate change requests for data completeness and integrity before approval. • Create governance forum presentations with summaries, insights, and action items. • Document requirements for tool enhancements and support testing. • Provide user enablement documentation and guidance on governance workflows. • Participate in special initiatives and evolving analysis efforts. Required Skills: • Strong analytical and problem‑solving abilities with clear communication to technical and non‑technical audiences. • Proficiency in Microsoft Office (Excel, PowerPoint, Word) and collaboration platforms (SharePoint). • Ability to manage multiple priorities amid shifting regulatory and business demands. • Familiarity with issue management and remediation workflows (ServiceNow, Jira, Confluence). • Experience in regulated or enterprise data environments. Required Education & Certifications: • Bachelor’s degree or equivalent experience in accounting, statistics, data engineering, data science, computer science, or related discipline. • Preferred experience with data governance/quality platforms (Collibra, IDQ/CDQ) and Power BI.

Pittsburgh region, United states

Hybrid

26-01-2026

Company Name

eNGINE

Job Title

Data Scientist

Job Description

**Job Title** Data Scientist **Role Summary** Lead development of advanced analytical and machine learning solutions for chatbot and AI-driven products. Requires strong technical expertise, scientific rigor, and leadership to drive innovation and optimize user engagement. **Expectations** - Proven ability to design, validate, and deploy advanced models. - Mastery of statistical methods, ML scalability, and regulatory compliance. - Mentorship experience and 3–5 years in technical roles (preferably financial services/banking). - Bachelor’s degree in technical field. **Key Responsibilities** - Develop and deploy machine learning models to enhance chatbot performance (comprehension, response accuracy). - Build explainable, repeatable statistical models for high-visibility decision-making. - Analyze large datasets to identify trends, diagnose issues, and optimize product functionality. - Collaborate with cross-functional teams to implement data-driven improvements. - Monitor model performance, refine methods, and align outputs with business goals. - Stay current on AI/NLP advancements and integrate innovations into products. - Communicate technical insights to technical and non-technical audiences. - Mentor junior data scientists and guide team technical direction. **Required Skills** - Python programming (ML model building/deployment). - ML frameworks (TensorFlow, PyTorch, etc.). - Data mining, statistical analysis, and visualization (e.g., Pandas, Scikit-learn, Tableau). - Feature engineering and model validation. - NLP techniques and chatbot optimization. - Scientific reasoning and experimental design. **Required Education & Certifications** - Bachelor’s degree in computer science, statistics, mathematics, or related technical field. - 3–5 years’ experience in data science roles, preferably within financial services or banking. - Paid training/certifications may be required. No third-party submissions.

Pittsburgh, United states

Hybrid

Junior

12-02-2026