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Temp Gcp Data Engineer Jobs in Georgia (NOW HIRING)

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

ABOUT THIS POSITION We are seeking a Junior Data Engineer to join Waystar's Business Data & Architecture team and support our data modernization journey on Google Cloud Platform (GCP). This is an ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

ABOUT THIS POSITION We are seeking a Junior Data Engineer to join Waystar's Business Data & Architecture team and support our data modernization journey on Google Cloud Platform (GCP). This is an ...

AWS GCP Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

Data Engineer) * Cloud Engineering (cloud computing) experience with AWS, GCP, and/or Azure to include load balancing * Hands-on experience with some the following: Docker and Kubernetes, developing ...

Data Engineer (AWS, Azure, GCP)

Atlanta, GA · On-site

$110K - $132K/yr

... Data Engineer - Cloud position include: * Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Advising clients on ...

Senior Data Engineer

Atlanta, GA · On-site

$160K - $170K/yr

CI/CD; writing, testing, and deploying code using DevOps; DevOps Pipelines (Azure, AWS, or GCP ... Databricks, dbt, modern cloud data lake house technologies; data engineering (SQL/Python)

... GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python ...

Lead Data Engineer

Alpharetta, GA · On-site +1

$100K - $131K/yr

We are seeking a strategic, cloud-native Data Engineer with deep expertise in Google Cloud Platform (GCP) to lead enterprise-wide data transformation initiatives. This highly visible role blends ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Any one of the generic Cloud Platform certifications (AWS, Azure, GCP, etc.,) * Any one of the Data ... Data Engineering on Microsoft Azure, etc.

Data Engineer

Atlanta, GA

$113K - $136K/yr

Familiarity with major cloud platforms (AWS, GCP, Azure). * DATA ARCHITECTURE: Experience with ... Proficient with programming in Python, Java, Scala, or similar languages. Expert-level proficiency ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and ... Any one of the generic Cloud Platform certifications (AWS, Azure, GCP, etc.,) * Any one of the Data ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Familiarity with major cloud platforms (AWS, GCP, Azure). * DATA ARCHITECTURE:Experiencewithmodern ... PROGRAMMING:Proficientwithprogrammingin Python, Java, Scala, or similar languages. Expert ...

Data Engineer

Savannah, GA · On-site

$106K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Augusta, GA · On-site

$90K - $108K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Valdosta, GA · On-site

$92K - $111K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Kennesaw, GA · On-site

$105K - $127K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Showing results 21-40

Temp Gcp Data Engineer information

What is a Temp GCP Data Engineer?

A Temp GCP Data Engineer is a temporary or contract professional who specializes in designing, building, and maintaining data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services such as BigQuery, Dataflow, and Cloud Storage to manage, transform, and analyze large datasets. Their role often involves developing data pipelines, ensuring data quality, and supporting analytics or business intelligence initiatives for organizations using GCP. As a temporary position, they may be hired for specific projects or to fill short-term staffing needs.

What are some common challenges Temp GCP Data Engineers face when onboarding to new projects?

Temp GCP Data Engineers often encounter challenges such as quickly familiarizing themselves with existing data pipelines, understanding the organization’s data governance policies, and adapting to diverse coding standards or toolsets. Since they are typically brought on for short-term projects, there's often pressure to deliver results rapidly while collaborating with cross-functional teams who may have established workflows. Being proactive in seeking documentation and clear communication with stakeholders can help overcome these hurdles and accelerate the onboarding process.

What are the key skills and qualifications needed to thrive as a Temp GCP Data Engineer, and why are they important?

To thrive as a Temp GCP Data Engineer, you need strong expertise in data engineering concepts, proficiency in SQL and Python, and experience with cloud data architecture, often supported by a relevant degree and Google Cloud Platform (GCP) certifications. Familiarity with GCP tools such as BigQuery, Dataflow, Pub/Sub, and Data Studio is essential, along with knowledge of CI/CD and data pipeline orchestration systems. Problem-solving skills, adaptability, and effective communication are crucial soft skills for collaborating with cross-functional teams and addressing evolving project needs. These competencies ensure reliable, scalable data solutions and enable rapid contribution within fast-paced, temporary project environments.

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

AspectTemp Gcp Data EngineerGcp Data Analyst
CredentialsGCP certifications, SQL, Python, data engineering skillsGCP certifications, SQL, data visualization tools
Work EnvironmentData pipelines, cloud infrastructure, backend systemsData reporting, visualization, business insights
Employer & IndustryTech, finance, healthcare companies using GCPMarketing, retail, finance firms analyzing data

The Temp Gcp Data Engineer focuses on building and maintaining data pipelines and cloud infrastructure, requiring technical skills like GCP certifications and programming. In contrast, a Gcp Data Analyst primarily interprets data, creates reports, and provides insights using visualization tools. While both roles utilize GCP, their responsibilities and skill sets differ significantly, catering to different organizational needs.

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

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

What cities in Georgia are hiring for Temp Gcp Data Engineer jobs?

Cities in Georgia with the most Temp Gcp Data Engineer job openings:

Data Engineer

Waystar

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago


Job description

ABOUT THIS POSITION
We are seeking a Junior Data Engineer to join Waystar's Business Data & Architecture team and support our data modernization journey on Google Cloud Platform (GCP).
This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar program) with a strong foundation in data, software engineering, or analytics, and a passion for building scalable data solutions.
You will work alongside senior engineers and architects to help build and maintain data pipelines, contribute to modern Medallion architecture (Bronze/Silver/Gold), and learn best practices in cloud data engineering, governance, and analytics delivery.
WHAT YOU'LL DO
Data Pipeline Development (Learn & Build)
  • Assist in building and maintaining data pipelines into BigQuery using tools such as Fivetran and Python
  • Support development of bronze, silver, and gold data layers for analytics use cases
  • Contribute to data transformations using dbt (training provided if needed)
  • Work with senior engineers to understand orchestration and scheduling concepts

Data Quality & Reliability
  • Help implement basic data validation and data quality checks
  • Support monitoring of pipelines and troubleshooting data issues
  • Learn best practices for logging, testing, and error handling

Platform & Engineering Practices
  • Contribute to version-controlled development using GitHub
  • Assist in documenting data pipelines, transformations, and data models
  • Learn CI/CD and Infrastructure-as-Code concepts (Terraform exposure)

Governance & Collaboration
  • Partner with data engineers, analysts, and business stakeholders to understand data requirements
  • Support data classification, lineage, and governance initiatives
  • Participate in Data Champions and domain-based data ownership practices

Required Qualifications
  • Bachelor's degree in computer science, Data Engineering, Information Systems, or related field
  • Strong academic foundation in:
  • SQL
  • Python or similar programming language
  • Data structures and problem-solving
  • Internship, coursework, or project experience in data engineering, analytics, or cloud platforms
  • Willingness to learn modern data tools and cloud technologies
  • Strong communication and collaboration skills

Preferred Qualifications
  • Exposure to cloud platforms such as GCP, AWS, or Azure
  • Familiarity with:
  • BigQuery or relational databases
  • dbt or data transformation tools
  • APIs and data ingestion concepts
  • Experience with Git or version control
  • Academic or personal projects involving data pipelines or analytics

WHAT YOU'LL NEED
  • Building scalable data pipelines in a modern cloud platform (GCP / BigQuery)
  • Data modeling and Medallion architecture design
  • dbt-based transformation and analytics engineering
  • Data quality frameworks and observability
  • Data governance, classification, and secure access controls
  • Real-world enterprise data platform delivery
  • SQL
  • Python (or similar language)
  • Basic data modeling / analytics concepts
  • Git or version control (exposure)

ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.