Prophecy Consulting

60 Prophecy Consulting Engineers Jobs Hiring Near You

Data Engineer - GCP

Dublin, OH · On-site

$110.30K - $132.50K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale ... Partner with external consultants, solution providers, and managed services teams to deliver ...

Data Engineer - GCP

Dublin, OH · Hybrid

$108.10K - $129.80K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale ... Partner with external consultants, solution providers, and managed services teams to deliver ...

The consultant will collaborate with product, engineering, and data teams to ensure semantic models are performant, queryable, and consumable by enterprise systems including dashboards, APIs, and web ...

next page

Showing results 1-20

Prophecy Consulting Jobs Information

What are the key skills and qualifications needed to thrive as an Engineer, and why are they important?

To thrive as an Engineer, you need a solid background in mathematics, problem-solving, and a relevant engineering degree or certification. Familiarity with industry-specific software like AutoCAD, MATLAB, or SolidWorks, as well as understanding of applicable standards and regulations, is typically required. Strong analytical thinking, teamwork, and effective communication skills distinguish top performers in this field. These competencies are crucial for developing innovative solutions, ensuring project success, and maintaining safety and quality standards.

What are some common challenges engineers face when working on cross-functional teams?

Engineers often collaborate with professionals from diverse backgrounds such as product managers, designers, and marketers. One common challenge is effectively communicating technical concepts to non-technical team members to ensure everyone is aligned on project goals and constraints. Balancing technical feasibility with business objectives can also require negotiation and adaptability. Successful engineers proactively seek feedback, clarify requirements, and contribute to a collaborative team culture to overcome these challenges.

What are engineers?

Engineers are professionals who apply scientific and mathematical principles to design, build, and maintain structures, machines, systems, and processes. They work in a wide range of fields such as civil, mechanical, electrical, chemical, and software engineering. Engineers solve real-world problems by developing innovative solutions that improve people's lives, enhance safety, and drive technological advancement. Their work often involves research, technical analysis, collaboration, and project management.

What is the difference between Engineers vs Technicians?

AspectEngineersTechnicians
Required CredentialsBachelor's degree in engineering or related fieldTechnical diploma or associate degree
Work EnvironmentDesign, planning, and overseeing projectsImplementing, maintaining, and troubleshooting systems
Industry UsageDesign and development roles in various industriesOperational and support roles in same industries
Common Search/ComparisonEngineers vs Technicians

Engineers typically hold a bachelor's degree and focus on designing and planning projects, while technicians usually have technical diplomas and handle implementation and maintenance. Both roles are essential in engineering fields, working closely but with different responsibilities and qualifications.

What are the most popular job types at Prophecy Consulting?
    Infographic showing various Engineers job openings at Prophecy Consulting in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 85% Physical, and 15% Remote job distribution.

    Data Engineer - GCP

    Prophecy Technologies

    Dublin, OH • On-site

    $110.30K - $132.50K/yr

    Full-time

    Posted 8 days ago


    Job description

    Job Summary
    The Senior Data Engineer will design, build, optimize, and support enterprise-scale data pipelines within a hybrid big data architecture, primarily on Google Cloud Platform (GCP). This role focuses on data ingestion, transformation, governance, and curation while ensuring performance, cost efficiency, security, and compliance with enterprise standards.
    Role Descriptions / Responsibilities
    • Re-write and enhance existing data pipelines to meet evolving business needs.
    • Design and build production-grade data pipelines from ingestion to consumption in a hybrid big data environment.
    • Develop pipelines using Java, Python, GCP Dataflow, and Apache Airflow.
    • Design and implement Collibra workflows using Java.
    • Design and implement data ingestion, transformation, and curation solutions using GCP-native and custom frameworks.
    • Optimize data pipelines for performance, scalability, and cost efficiency across large-scale data lakes.
    • Ensure technical specifications align with business requirements and enterprise architecture standards.
    • Partner with external consultants, solution providers, and managed services teams to deliver compliant and scalable solutions.
    • Collaborate across multiple teams to track project progress, identify risks, and communicate status and impacts to leadership.
    • Proactively propose process, platform, and technical improvements.
    • Ensure platforms and tools meet data security, audit, and compliance requirements.
    • Apply best practices for frameworks, naming conventions, scripting, and coding standards.
    • Communicate technical concepts clearly to non-technical stakeholders.

    Essential Skills & Qualifications
    • Bachelor's degree or equivalent work experience.
    • 8+ years of engineering experience in Big Data, Data Analytics, and Data Integration.
    • 2+ years of hands-on experience in GCP Data Engineering and Cloud Analytics solutions.
    • 5+ years of programming experience with:
    • Python
    • Java
    • Spring Boot, Spring MVC
    • REST API development
    • Hands-on experience with CI/CD pipelines (Concourse, Jenkins).
    • Experience with GCP Data Ingestion technologies:
    • Dataflow
    • Fusion
    • Airflow
    • Experience designing and optimizing data models using BigQuery.
    • Experience integrating KMS / HSM solutions with GCP data services.
    • Experience implementing metadata management solutions on GCP.
    • Strong verbal and written communication skills