2

Entry Level Gcp Data Engineer Jobs in Atlanta, GA

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Our Newest Opportunity: We're building a modern, AI-native data engineering function on Azure ... Experience: 2+ years preferred; Entry Level Candidates with strong projects encouraged to apply ...

We're seeking a Consultant, AI & Data Engineer in our Atlanta, GA office to help us take vision to ... Working exposure to at least one of Azure, GCP, or AWS. * Experience with LangGraph, LangChain, or ...

Sr. Associate, Data Engineer - PySpark

Atlanta, GA · On-site

$56K - $57K/yr

KPMG is currently seeking a Sr. Associate, Data Science Engineer to join our Consulting practice ... Work very closely with emerging technologies group within AI service providers (e.g., AWS, GCP ...

GCP Cloud Security Engineer

Alpharetta, GA · On-site

$54.50 - $72.75/hr

GCP Cloud security Engineer Location: Alpharetta, GA- Onsite Duration 12 plus months Hybrid 3 Days ... data Experience developing across the security assurance lifecycle (mainly detect & respond ...

Devops Engineer with GCP

Alpharetta, GA · On-site

$51.50 - $70.50/hr

GCP Cloud Engineer (No C2C only W2) Location: Alpharetta GA (In person interview mandate) Need ... You will be part of a high performance oriented Cloud Data team, working on cutting edge Big data ...

Data Architect

Atlanta, GA · On-site

$62.25 - $80/hr

... Engineering or related fields. * Any one of the generic Cloud Platform certifications (AWS, Azure, GCP, etc.,) * Any one of the Data & Analytics certifications (Azure Fundamentals AZ-900, DP-200:

... GCP (one or more), including managed data platforms and scalable compute patterns. * 2+ years of ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

... GCP (one or more), including managed data platforms and scalable compute patterns. * 2+ years of ... Professional development From entry-level employees to senior leaders, we believe there's always ...

TalentBridge is seeking a high-potential, entry-level Engineer who possesses strong fundamentals ... data and large datasets (experience with GCP / BigQuery is a plus) • Break down ambiguous ...

Showing results 21-40

Entry Level Gcp Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do entry level gcp data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level gcp data engineer in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What does an entry level GCP data engineer do?

An Entry Level GCP Data Engineer is responsible for building, managing, and optimizing data pipelines on Google Cloud Platform (GCP). Their tasks typically include designing data workflows, developing ETL (Extract, Transform, Load) processes, and ensuring data quality and security. They work with tools like BigQuery, Dataflow, and Cloud Storage to facilitate data movement and analysis. The role often involves collaborating with data scientists, analysts, and other engineers to support business intelligence and analytics initiatives. As an entry-level position, it emphasizes learning cloud technologies and best practices while supporting more senior engineers.

What are the key skills and qualifications needed to thrive as an entry level GCP data engineer?

To thrive as an Entry Level GCP Data Engineer, you need a solid understanding of data structures, SQL, Python or Java programming, and a foundational knowledge of cloud computing principles, often supported by a relevant degree or certification. Familiarity with Google Cloud Platform services like BigQuery, Dataflow, Cloud Storage, and tools such as Terraform or Apache Beam is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and address data challenges efficiently. These skills ensure you can design, build, and maintain scalable data solutions that support organizational goals in a cloud environment.

What are some common challenges faced by entry level GCP data engineers, and how can they overcome them?

Entry-level GCP Data Engineers often encounter challenges such as learning to navigate Google Cloud Platform's suite of data tools, understanding cloud security best practices, and efficiently managing large-scale datasets. Adapting to a fast-paced environment where priorities shift quickly can also be demanding. To overcome these challenges, new engineers should leverage available training resources, seek mentorship from experienced team members, and practice working on small-scale projects before tackling larger ones. Collaboration with data scientists, architects, and other engineers is key to building both technical skills and a strong professional network.

What is the difference between Entry Level Gcp Data Engineer vs Data Analyst?

AspectEntry Level Gcp Data EngineerData Analyst
Required CredentialsGCP certifications, basic SQL, cloud fundamentalsExcel, SQL, data visualization tools, sometimes certifications
Work EnvironmentCloud platforms, data pipelines, infrastructure setupData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with cloud adoptionMarketing, business, finance sectors

While both roles involve working with data, Entry Level Gcp Data Engineers focus on building and maintaining cloud-based data pipelines using GCP tools, whereas Data Analysts primarily analyze data to generate insights and reports. The roles share some skills like SQL but differ in technical depth and responsibilities.

Can I get an entry level Gcp data engineer job with no experience?

Entry level GCP Data Engineer roles typically require some foundational knowledge of cloud platforms, data processing, and SQL, but many employers consider candidates with relevant certifications or coursework even without professional experience. Building skills in tools like BigQuery, Cloud Storage, and Dataflow through online courses or projects can improve your chances of securing an entry-level position. Certifications such as the Google Cloud Associate Cloud Engineer can also enhance your qualifications for these roles.

Is an entry level GCP data engineer in demand?

Entry-level GCP data engineers are in high demand due to the increasing adoption of cloud data platforms and the need for data management skills. Proficiency in Google Cloud tools like BigQuery, Dataflow, and Cloud Storage, along with certifications, can improve job prospects in this growing field.

What are the most commonly searched types of Gcp Data Engineer jobs in Atlanta, GA?

The most popular types of Gcp Data Engineer jobs in Atlanta, GA are:

What are popular job titles related to Entry Level Gcp Data Engineer jobs in Atlanta, GA?

For Entry Level Gcp Data Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Entry Level Gcp Data Engineer jobs in Atlanta, GA look for?

The top searched job categories for Entry Level Gcp Data Engineer jobs in Atlanta, GA are:

Infographic showing various Entry Level Gcp Data Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.

Data Engineer

OneDigital

Atlanta, GA • On-site

$110K - $132K/yr

Other

Medical, Retirement, PTO

Re-posted 3 days ago


OneDigital rating

6.8

Company rating: 6.8 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

268th of 311 rated insurance


Job description

No other company in our industry is supercharging the way they work and serve their clients like OneDigital. Fresh thinking has always been the core of OneDigital's vision and growth strategy. It's how we stand out in our industry, it's how we stay competitive and resilient in a changing world. Most importantly, our innovative approach is helping more people do their best work and live their best lives. Innovation fuels our employee experience by making it easier to do your best work anytime, anywhere and from any device. And our tech-based products for clients are a game changer in our industry. If you thrive on change and innovation, OneDigital is the career choice for you.
Our Newest Opportunity:
We're building a modern, AI-native data engineering function on Azure + Snowflake, where AI coding agents are first-class contributors to the dev workflow. You'll join a small team owning the full data lifecycle - ingestion, modeling, governance - and ship production pipelines from day one. This is a great seat for someone early in their career who wants to grow fast in an environment where AI tooling is the default, not an afterthought.
We're optimizing for learning velocity over years of experience. If you have 0-2+ years and a strong foundation, you're in scope.
What You'll Do
  • Build and maintain ingestion pipelines into Snowflake from a range of source systems (Dataverse, SQL Server, APIs, files) using Azure Data Factory
  • Develop transformation logic in Snowflake following a medallion architecture (bronze silver gold), using Coalesce for orchestrated SQL transformations
  • Write Python for orchestration, automation, custom connectors, and lightweight services
  • Partner with AI coding agents (GitHub Copilot, Claude Code, Cortex) as part of your daily workflow - you're expected to be effective at directing them, not just using autocomplete
  • Apply data governance and lineage standards through Atlan
  • Participate in code reviews, CI/CD via Azure DevOps, and on-call rotations for production pipelines
  • Contribute to internal documentation and runbooks

Required Skills
  • Python - comfortable writing clean, modular code; familiar with pandas, requests, basic OOP, virtualenvs/uv
  • SQL - strong fundamentals (joins, window functions, CTEs, query optimization)
  • Azure Data Factory - hands-on pipeline development, parameterization, triggers, linked services
  • Azure services - working knowledge of Storage (Blob/ADLS), Key Vault, DevOps (pipelines, repos)
  • Snowflake - has built or contributed to real warehouses; understands warehouses, roles, micro-partitions
  • Source control - Git workflows, PRs, branching

AI / Agentic Skills (Required at conceptual level)
You don't need to have shipped LLM apps in production, but you should be conversant in:
  • AI coding agents - used Copilot, Cursor, Claude Code, or equivalent for real work (not just demos)
  • LLMs - understand prompting, context windows, tool use / function calling, structured outputs
  • RAG - know what it is, when to use it, the basic architecture (embeddings, vector store, retrieval, generation)
  • MCP (Model Context Protocol) - bonus if you've used it, but willingness to learn quickly is required; we use Atlan MCP and Snowflake MCP

Nice to Have
  • Coalesce, dbt, or another transformation framework
  • Experience with Dataverse / Dynamics 365 / Power Platform data sources
  • Atlan or another data catalog/governance tool
  • CI/CD experience with Azure DevOps YAML pipelines
  • Exposure to vector databases (Pinecone, Weaviate, pgvector, Snowflake Cortex)
  • Personal projects with LLMs, agents, or AI tooling - show us your GitHub

Mindset We're Hiring For
  • Learning mindset. Tooling will change every 6 months. We need someone who's energized by that, not exhausted by it.
  • Bias to ship. Pragmatic over perfect. Get it working, get it reviewed, iterate.
  • AI-leveraged. You treat AI agents as force multipliers. You know when to delegate to them and when to think yourself.
  • Ownership. When a pipeline breaks at 2am, you don't wait to be told.
  • Clear written communicator. Async-friendly, document-as-you-go.

Education
  • Bachelor's degree in CS, Engineering, Math, Stats, or related field - or equivalent practical experience. Bootcamp grads and self-taught engineers with solid portfolios welcome.

Logistics
  • Location: Atlanta, GA - hybrid
  • Experience: 2+ years preferred; Entry Level Candidates with strong projects encouraged to apply

Your base pay is dependent upon your skills, education, qualifications, professional experience, and location. In addition to base pay, some roles are eligible for variable compensation, commission, and/or annual bonus based on your individual performance and/or the company's performance. We also offer eligible employees health, wellbeing, retirement, and other financial benefits, paid time off, overtime pay for non-exempt employees, and robust learning and development programs. You will receive reimbursement of job-related expenses per the company policy and may receive employee perks and discounts.
To learn more, visit: ;br>
OneDigital is an equal opportunity employer. Not only as a matter of standard, but to honor and celebrate our differences. We believe that the power of ONE starts with you. We are committed to cultivating and preserving a culture that celebrates diversity, insists on equity and inclusion, and connects us. Ensuring our people feel seen, valued, respected, and supported is fundamental to our core values and business goals.
OneDigital provides equal employment opportunities to all employees and applicants for employment regardless of their: veteran status, uniformed servicemember status, race, color, religion, sex, sexual orientation, gender identity, age (40 and over), pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). A copy of the Federal EEO poster is linked here.
Pursuant to local Fair Chance Ordinances, we will consider qualified applications with arrest or conviction records for employment. For applicable candidates, the following ordinances are linked here to inform you of your rights as an applicant:
City and County of San Francsico
City of Los Angeles
County of Los Angeles
Employment decisions shall comply with all other applicable federal, state and city/county laws prohibiting discrimination in employment. OneDigital complies with all criminal history inquiry [or 'ban the box'] laws in California, Connecticut, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New Mexico, Oregon, Rhode Island, Vermont and Washington.
In short, we believe in hiring the most qualified applicant for the position, regardless of background.
If you have questions about our hiring policies and practices, we would be happy to discuss upon receiving your application. We hope to welcome you to OneDigital and look forward to hearing from you.
OneDigital understands the immense responsibility and opportunities provided by Artificial Intelligence. We utilize advanced Artificial Intelligence [AI] technologies to enhance our recruitment process. This includes using AI to filter candidates based on their qualifications and to rediscover potential candidates from our existing applicant pool. Our AI systems help us efficiently identify the best fit for our open positions, ensuring a streamlined and effective hiring experience. However, AI does not replace the humans in our process. If you have concerns about our use of AI, you may opt out where laws allow.
Thank you for your interest in joining the OneDigital team!

What OneDigital employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom