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Data Engineer Gcp Data Engineer Jobs in Missouri

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Data Engineer Employment Type: W2 Only (No C2C or 1099) Duration: 12-month contract with a possibility to extend Location: St. Louis, Missouri Schedule: On-site-3 days Position Summary Generates ...

New

$88K - $106K/yr

Our partner is looking for a Data Engineer based in Netherlands. This is a hands-on data integration role focused on building and supporting reliable enterprise data pipelines and integration ...

Data Engineer

Saint Peters, MO · On-site

$109K - $131K/yr

We are seeking a mid-level SQL Server Data Engineer who understands the intricacies of handling data at scale. These are some of the duties you will be expected to perform. * Design new databases ...

Data Engineer

Saint Peters, MO

$109K - $131K/yr

Description We are seeking a mid-level SQL Server Data Engineer who understands the intricacies of handling data at scale. These are some of the duties you will be expected to perform. * Design new ...

Data Engineer

Kansas City, MO · On-site

$100K - $125K/yr

In this position, you will work closely with other Data Engineers on your team and members of the ... Experience deploying software to public cloud infrastructure - AWS (preferred), GCP, Azure

Data Engineer

Saint Peters, MO · On-site

$109K - $131K/yr

We are seeking a mid-level SQL Server Data Engineer who understands the intricacies of handling data at scale. These are some of the duties you will be expected to perform. * Design new databases ...

$88K - $106K/yr

Our partner is looking for a Data Engineer - Senior based in Netherlands. This is a remote opportunity for an experienced data engineer to play a key role in a large-scale digital transformation ...

Data Engineer

Saint Louis, MO · On-site

$125K - $150K/yr

Data Scientist/Engineer On Site | Scott AFB, IL | Secret Clearance Required If you enjoy building modern data solutions, integrating complex data environments, and supporting mission-critical ...

New

Data Engineer

Saint Charles, MO · On-site

$107K - $129K/yr

Data Engineer Division: Information Technology Evaluation Group: Staff FLSA Status: Exempt Reports To: Director, Information Technology Enterprise Systems and Application Development Positions ...

Data Engineer Manager

Saint Louis, MO · On-site +1

$111K - $133K/yr

The Cloud Data Engineering team within Data Engineering will oversee the analysis, development, implementation, and performance of our new cloud-based data solutions. This work is reflective of a ...

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Job Title: Biotech Data Engineer Job Type: FTE Work Mode: Remote The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and ...

Experience with cloud‑native architectures and platforms including AWS, GCP, or Azure. * Strong ... AI‑powered developer tools * data engineering architectures * cloud‑native architectures Soft ...

Principal Data Engineer

California, MO · On-site

$120 - $180/hr

Data Engineer Contract 40 hours weekly, 12+ months This is a Flex position with the potential to convert to a regular full-time position based on business needs, individual performance, and ...

New

Data Engineer III

Saint Louis, MO · On-site

$108K - $130K/yr

Data Engineer III (Hybrid) Primary Location: St. Louis, Missouri V-Soft Consulting is currently hiring for a Data Engineer III for our premier client in St. Louis, Missouri . Education and Experience ...

Senior Data Engineer

O Fallon, MO · On-site

$99K - $134K/yr

Title and Summary Senior Data Engineer About the Role As a Senior Data Engineer, you'll take ... GCP) and modern data tooling • Experience with event-driven or streaming architectures • ...

Senior Data Engineer

O Fallon, MO

$99K - $134K/yr

Title and Summary Senior Data Engineer About the Role As a Senior Data Engineer, you'll take ... GCP) and modern data tooling Experience with event-driven or streaming architectures Exposure to ...

Showing results 21-40

Data Engineer Gcp Data Engineer information

What is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

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 expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

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

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

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

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

What cities in Missouri are hiring for Data Engineer Gcp Data Engineer jobs?

Cities in Missouri with the most Data Engineer Gcp Data Engineer job openings:

Data Engineer/Data Analyst

Advantage Tech

Kansas City, MO • On-site

Full-time

Posted 19 days ago


Job description

Data Engineer/Analyst
Position Summary
The Data Engineer/Data Analyst is responsible for designing, building and maintaining our cloud-based data ecosystem while also delivering high-value analytics, reporting, and business insights. You'll work across the full data lifecycle - from engineering and modeling to visualization and strategic analysis - ensuring the organization has reliable, scalable, and actionable data.
KEY RESPONSIBILITIES
Data Engineering & Architecture (Primary Responsibility)
  • Design, provision, and configure cloud data warehouse and storage environments (e.g., Azure Synapse, Data Lake, Fabric).
  • Develop, test, and maintain scalable ETL/ELT pipelines using SQL, Azure Data Factory, Python, or similar tools.
  • Architect and implement dimensional models, data marts, and data cubes to support analytics and reporting needs.
  • Ensure data quality, reliability, and performance across all pipelines and data structures.
  • Create clear, comprehensive documentation for data systems, pipelines, and processes.

Analytics, Reporting & Business Insights (Secondary Focus)
  • Build and maintain impactful dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Looker.
  • Partner with business stakeholders to understand analytical needs and translate them into technical solutions.

Cross-Functional Collaboration & Strategy
  • Work closely with the team to ensure alignment on architecture, governance, and best practices.
  • Support the evolution of the organization's data strategy by identifying opportunities for automation, optimization, and improved insight delivery.
  • Contribute to the long-term vision of a scalable, modern data ecosystem that empowers business users.

QUALIFICATIONS
Knowledge, Skills and Abilities
Required:
  • Expert SQL Skills: Mastery of SQL for complex querying, performance tuning, and data manipulation.
  • Cloud Experience: Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) in relation to data services.
  • Programming: Strong proficiency in Python for data manipulation and pipeline development.
  • Data Visualization: Experience building reports and dashboards with a major BI tool (e.g., Tableau, Looker, Power BI).
  • Strong organizational, planning, and problem-solving skills
  • Proven ability to manage deadlines and priorities in a fast-paced environment
  • Excellent written and verbal communication skills
  • Familiarity with ERP systems (Epicor P21 preferred), WMS, or operational reporting tools
  • Execution-focused with strong follow-through
  • Detail-oriented while able to see the bigger picture
  • Results-driven mindset aligned with business outcomes

Nice-to-Have Skill:
  • AI/ML Familiarity: Understanding of data preparation for Artificial Intelligence (AI) and Machine Learning (ML) models and experience with related data tools.

Education and Experience
  • Technical Proficiency: 3+ years of professional experience in data engineering, ETL development, and data modeling.
  • Experience with specific tools mentioned (Azure Data Factory, Power BI, etc.).
  • Experience in Business Analysis or formal requirements gathering.
  • Bachelor's degree in business, Information Systems, Computer Science or related field preferred
  • Experience managing cross-functional initiatives with multiple stakeholders a plus
  • Experience in industrial distribution, manufacturing, or supply chain environments preferred
  • Experience supporting process improvement or operational transformation initiatives

Physical Requirements
  • Prolonged periods of sitting at a desk and working on a computer.