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Entry Level Data Jobs in Powder Springs, GA (NOW HIRING)

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

You'll join a small team owning the full data lifecycle - ingestion, modeling, governance - and ... Experience: 2+ years preferred; Entry Level Candidates with strong projects encouraged to apply ...

Data Entry Specialist

Atlanta, GA · On-site

$17 - $20/hr

Data Entry Specialist LaSalle Network is hiring for a Data Entry Specialist with a manufacturing ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

Data Entry Specialist

Atlanta, GA · On-site

$18 - $20/hr

Data Entry Specialist LaSalle Network is hiring for a Data Entry Specialist with a manufacturing ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

Non-Exempt JOB SUMMARY This is a part-time, entry-level position working 20 hours or less per week. The IT Data Analyst I supports the collection, organization, and analysis of data and assists in ...

New

Job Advertisement: Entry Level Sales Assistant Company: Endorse Infinity Location: Atlanta, GA ... Provide support in creating sales reports and analyzing sales data. * Assist in the development and ...

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Entry Level Data information

See Powder Springs, GA salary details

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How much do entry level data jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for entry level data in Powder Springs, GA is $18.44, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $20.72 per hour, depending on experience, location, and employer.

What is an entry level data job?

Entry level data jobs are positions designed for individuals who are new to the data field, often requiring minimal professional experience. These roles may include titles such as Data Analyst, Data Coordinator, or Junior Data Scientist. Responsibilities typically involve data cleaning, basic analysis, reporting, and supporting more senior data professionals. Entry level data jobs are a great way to build foundational skills in data manipulation, visualization, and interpretation using tools like Excel, SQL, or Python. They are commonly found in industries such as finance, healthcare, retail, and technology.

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

To thrive as an Entry Level Data Analyst, you need foundational skills in data analysis, statistics, and problem-solving, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI) is often required, along with basic programming knowledge in Python or R. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills for interpreting and sharing data-driven insights. These abilities are important to accurately analyze data, support business decisions, and collaborate with team members across departments.

What types of projects or tasks are typically assigned to entry level data professionals during their first year?

Entry-level data professionals often start by working on data cleaning, validation, and basic analysis tasks, helping to ensure data quality and accuracy for the team. They may assist with preparing reports, creating simple visualizations, or supporting more senior analysts with larger projects. These tasks help build foundational skills in data manipulation and provide exposure to the company's data systems and tools. Collaboration with other team members, such as analysts, engineers, and business stakeholders, is common and fosters a supportive learning environment.

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

AspectEntry Level DataData Analyst
Required CredentialsHigh school diploma or associate's; some roles may prefer certificationsBachelor's degree in data-related fields; certifications like SQL or Excel often preferred
Work EnvironmentEntry-level roles in various industries, often in office settings or remoteOffice-based, collaborative environment; may involve client interaction
Employer & Industry UsageFound across industries; entry positions for those starting in data rolesCommon in finance, healthcare, marketing, and tech sectors

Entry Level Data roles are typically for individuals starting their data careers with basic skills and minimal experience, often focusing on data entry or simple analysis. Data Analysts usually have more specialized training and experience, handling complex data analysis, reporting, and insights. Both roles are essential in data-driven organizations, but Data Analysts generally require a higher skill set and educational background.

What are the most commonly searched types of Data jobs in Powder Springs, GA?

The most popular types of Data jobs in Powder Springs, GA are:

What cities near Powder Springs, GA are hiring for Entry Level Data jobs?

Cities near Powder Springs, GA with the most Entry Level Data job openings:

Infographic showing various Entry Level Data job openings in Powder Springs, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $38,355 per year, or $18.4 per hour.

Data Engineer

OneDigital

Atlanta, GA • On-site

$110K - $132K/yr

Other

Medical, Retirement, PTO

Re-posted just now


OneDigital rating

6.8

Company rating: 6.8 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

265th of 309 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!

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