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Gcp Data Engineer Jobs in Kentucky (NOW HIRING)

$110 - $170/hr

This role emphasizes data engineering within AEP and RTCDP , including ingestion, transformation ... Familiarity with cloud platforms such as AWS, GCP, or Azure. Experience with Snowflake, Salesforce ...

$120 - $180/hr

Experience with at least one major cloud provider (AWS, Azure, or GCP), including storage and ... Data Engineer) * Experience with CI/CD pipelines, Git, and DevOps workflows, including schema ...

New

$89 - $139/hr

... AWS, or GCP) · Background in analytics engineering or building semantic/curated data layers**Why Join Us?**At Delta Faucet Company, our people are our greatest assets. We value different ...

$90 - $120/hr

Purpose The Clinical Data Engineer will be an individual contributor to the Medical Affairs ... Familiarity with AWS, GCP, Azure, or other cloud computing providers (AWS preferred); experience ...

$90 - $130/hr

Required Qualifications * 6+ years of hands‑on experience in data engineering and analytics roles ... Experience with cloud platforms (e.g., AWS, Azure, GCP). MACHINE INTELLIGENCE TECHNOLOGIES LLC is ...

New

$105 - $200/hr

Data Engineer (Multiple Levels) Department: Data - Analytics Employment Type: Full Time Location ... At least 1 year of experience using cloud-based services from AWS, GCP, or Azure Environmental Job ...

$120 - $180/hr

Experience working with cloud computing environments like GCP or AWS. * A track record of working closely with analytics engineers or data analysts to build reliable, well-documented data models

Data Engineer II

Louisville, KY · On-site

$110K - $132K/yr

Azure/GCP acceptable). * Experience with data integration frameworks and orchestration tools. * Working knowledge of Lakehouse/warehouse architectures and ELT patterns. * Knowledge of DevOps ...

$132 - $160/hr

As a Data Engineer, you will contribute to the evolution of our data infrastructure, optimizing pipelines on Google Cloud Platform (GCP), scaling ingestion of complex data sources, and following best ...

$100 - $150/hr

Experience with cloud-based data platforms (AWS, Azure, GCP, AWS GovCloud), cloud-integrated ... Elastic Engineer. * Excellent communication and collaboration skills, with experience working ...

$99 - $142/hr

... GCP, or Amazon AWS. • Familiarity with Agile SDLC, DevOps practices, CI/CD processes, and cloud technologies. • Understanding of modern data architecture concepts such as unified data management ...

$185 - $325/hr

Build scalable and reliable data architectures using GCP services such as Pub/Sub, Dataflow ... Strong software engineering foundation with minimum 10+ years of experience in data engineering ...

$110 - $160/hr

Experience with cloud data platforms, primarily GCP (BigQuery, Dataproc Serverless, GCS); AWS ... Proficiency with AI-assisted developer tooling -- LLMs, the Model Context Protocol (MCP), and ...

$120 - $160/hr

Design and implement cloud-based data architecture on AWS, GCP, or Azure (data warehouses, data ... Engineer features from raw ERP data (transactions, master data, time-series) optimized for ML ...

$110 - $180/hr

Azure or GCP considered. * Data warehouse and dimensional modeling experience sufficient to defend schema design decisions. * Experience applying version control and CI/CD practices to data work, not ...

New

$180 - $220/hr

GCP * Experience with technologies such as: * Snowflake * Databricks * Spark * Airflow * Kafka ... Experience with data modeling and data architecture. * Experience building production-grade APIs ...

New

$130 - $170/hr

We're growing our data engineering team to design and operate the production systems that make our ... Cloud environment experience (GCP or AWS), Docker/Containers, Kubernetes * Machine learning ...

$110 - $145/hr

SENIOR DATA AND PLATFORM ENGINEER Active - Regular full-time Foothill Ranch, CA, US 9 days ago ... GCP security posture: migrate all credentials to Secret Manager, enforce VPC Service Controls ...

$171.92/hr

Experience with cloud computing platforms (e.g., Azure, AWS, or GCP) and modern data engineering tools. * Working knowledge of relational and non-relational database technologies and data modeling ...

New

$150 - $200/hr

The Director, Platform Engineering, is the senior engineering leader responsible for the ... AWS/Azure/GCP Data Architect, Databricks Platform Architect At Dynata, we deliver the highest ...

Showing results 21-40

Gcp Data Engineer information

See Kentucky salary details

$38.6K

$112.7K

$154.2K

How much do gcp data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for gcp data engineer in Kentucky is $112,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $119,400.00 per year, depending on experience, location, and employer.

What is a GCP Data Engineer?

A GCP Data Engineer is responsible for designing, building, and managing data processing systems on Google Cloud Platform. They work with tools like BigQuery, Dataflow, and Dataproc to process, store, and analyze large datasets efficiently. Their role involves optimizing data pipelines, ensuring data quality, and implementing security best practices. They also collaborate with data analysts and scientists to support business intelligence and machine learning initiatives.

What are the key skills and qualifications needed to thrive as a GCP Data Engineer?

To thrive as a GCP Data Engineer, you need strong skills in data engineering, programming (such as Python or Java), and experience with Google Cloud Platform services like BigQuery, Dataflow, and Cloud Storage, often backed by a relevant degree or certification. Familiarity with tools such as Terraform, Apache Beam, and GCP-specific certifications like Professional Data Engineer are highly valued. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills for this role. These competencies are crucial for building scalable data solutions, ensuring data quality, and collaborating effectively within cross-functional teams.

What types of projects or day-to-day tasks does a GCP Data Engineer typically work on?

As a GCP Data Engineer, you will design and implement data pipelines, process large datasets using GCP tools, and ensure data is available and accessible for analytics and business intelligence purposes. Your daily tasks might include creating ETL workflows, optimizing data warehouse performance, collaborating with data scientists, and troubleshooting data ingestion issues. Many teams operate in an agile environment, so you can expect regular interaction with product managers, analysts, and other engineers. This hands-on, collaborative nature of the role means you'll have opportunities to work on impactful projects that directly influence business decisions and gain exposure to cutting-edge cloud technologies.

Is GCP data engineer in demand?

GCP Data Engineers are in high demand due to the increasing adoption of Google Cloud Platform for data processing and analytics. Skills in cloud services, data pipelines, and tools like BigQuery and Dataflow are highly sought after by organizations seeking scalable data solutions.

What are the most commonly searched types of Gcp Data Engineer jobs in Kentucky?

The most popular types of Gcp Data Engineer jobs in Kentucky are:

What are popular job titles related to Gcp Data Engineer jobs in Kentucky?

For Gcp Data Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Gcp Data Engineer jobs in Kentucky look for?

The top searched job categories for Gcp Data Engineer jobs in Kentucky are:

Infographic showing various Gcp Data Engineer job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 7% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $112,662 per year, or $54.2 per hour.

$110 - $170/hr

Other

Posted 4 days ago


Key responsibilities

  • Refine, implement, configure, and maintain XDM schemas, datasets, and dataset mappings within Adobe AEP and RTCDP.

  • Implement and transform data using ingestion pipelines, ensuring adherence to architectural and privacy standards, and support data validation and troubleshooting.

  • Configure destination connectors, support activation flows, and assist with segmentation readiness and data availability for marketing and analytics.


Job description

Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.

Bounteous is seeking a CDP Engineer specializing in Adobe Real-Time CDP ( RTCDP ) and Adobe Experience Platform (AEP) to support data ingestion, identity resolution, and profile creation for a large-scale consumer telecommunications client. This hands-on technical role focuses on configuring data flows, mapping datasets to XDM schemas, ensuring high-quality Profile-enabled datasets, and supporting segmentation and activation accuracy across channels.

The CDP Engineer will work closely with the CDP Architect, data engineering teams, consultants, and marketing activation teams to ensure that AEP and the RTCDP instance is properly configured, performant, and governed. This role emphasizes data engineering within AEP and RTCDP , including ingestion, transformation, validation, and troubleshooting. The ideal candidate is detail oriented, analytical, and deeply familiar with RTCDP mechanics, data structures, and operational workflows.

Information Security Responsibilities
  • Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
  • Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
  • Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
  • Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
Role and Responsibilities:

Refine, implement, configure, and maintain XDM schemas, datasets, and dataset mappings within Adobe AEP and RTCDP .

Implement and transform data using ingestion pipelines including batch, streaming, SDK and API, ensuring all adhere to architectural and privacy standards and real-world data mappings.

Work with the Solution Architect to implement data transformations, data prep rules, and identity stitching logic.

Enable datasets for Profile, ensuring data quality, completeness, and consistency.

Build and maintain identity resolution frameworks, including namespaces, linkages, and profile merging.

Assist with segmentation readiness by validating attributes, events, audiences, and identity availability.

Configure destination connectors and support activation flows across marketing and analytics ecosystems.

Develop and execute data validation processes including anomaly detection, schema validation, and identity checks.

Troubleshoot ingestion failures, mapping errors, identity conflicts, and segmentation issues.

Maintain documentation for data flows, datasets, mappings, and governance controls.

Configure and manage AEP sandboxes for development, testing, and production environments.

Partner with privacy and governance teams to implement role based access, consent management, and compliance workflows.

Work with Consultants, Data Scientists, and Analysts to write queries and enable segmentation, reporting, and ML model readiness.

Integrate RTCDP with downstream systems for activation across marketing, analytics, and personalization platforms.

Assist marketing activation teams in ensuring proper data availability for audiences and personalization.

Support CDP Architect in designing scalable, governed data models and ingestion frameworks.

Contribute to continuous improvements in CDP automation, process efficiency, and operational best practices.

Preferred Qualifications:

3 to 5 or more years of experience in data engineering, MarTech engineering, or CDP operations.

2 or more years of hands-on Adobe RTCDP experience, including ingestion, transformation, identity resolution, and activation.

Working knowledge of core Adobe services, such as Adobe Source Connectors, Streaming & Batch Ingestion, Data Prep and Query Service.

Strong understanding of XDM schemas, dataset configuration, and Profile enablement.

Proficiency in SQL and familiarity with ETL or ELT processing, data pipelines, and cloud based data platforms.

Experience with APIs, Adobe I/O Runtime, Web SDK, and streaming data ingestion.

Familiarity with cloud platforms such as AWS, GCP, or Azure.

Experience with Snowflake, Salesforce CDP , Segment, Redshift, or BigQuery is a plus.

Working knowledge of consent, privacy, and data governance structures including GDPR and CCPA .

Experience in Adobe Experience Cloud ( AJO , Analytics, Target) is preferred but not required.

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.

Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law.Bounteous is willing to sponsor eligible candidates for employment visas.

"Bounteous really is different. Every day, I have the pleasure of collaborating side-by-side with designers, strategists, and technologists who are at the absolute pinnacle of their fields. I partner with clients who have the imagination and daring to pursue big, audacious goals - and who trust us to shape the experiences that solve their most important challenges. It'd be difficult to overstate what Bounteous means to me. I'm constantly learning, growing, and building relationships. Being a part of this team has been the greatest experience of my career."

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