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1099 Data Engineer Jobs in Georgia (NOW HIRING)

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a ...

R2 Technologies Corporation

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Engineer Location : Atlanta, GA Remote Duration : Long-Term We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful ...

Alt

Data Engineer

Atlanta, GA · On-site +1

$155K - $165K/yr

The Role Are you a data engineer who thrives on building robust pipelines and solving complex data challenges? In this role, you'll own Alt's critical data infrastructure that powers our pricing ...

4pconsultinginc

Data Engineer IV

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer IV - Modern Enterprise / Lakehouse / AI-Assisted Location: 241 Ralph McGill Blvd, Atlanta GA, 30308 HYBRID Duration: 6 Months Client: Georgia Power Position Overview The Data Engineer ...

Mindlance

Data Engineer 4

Atlanta, GA · On-site

$110K - $132K/yr

Mindlance is a confidential company seeking a Modern Data Engineer with extensive experience in data engineering roles. The role involves building and optimizing data pipelines, supporting analytics ...

FanDuel

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power ...

ACI Infotech

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Duration: FULL TIME (Accepting H1B Transfer ) Location: Atlanta, GA - On-Site ( Hybrid) Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer 3 Location: Atlanta/ Hybrid Client- Southern Co Gas Corp Contract- 1 Year Position Overview The Quality Assurance Data Engineer plays a critical role in validating the integrity ...

AgreeYa Solutions

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Title- Data Engineer Location- Atlanta, GA - Hybrid (3 days/week in the office) LOCALS ONLY Type- Contract - C2C/W2 Duration- 12+ Months Mode of Interview- F2F Visa- Open - Responsible for supporting ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer 3 - Quality Assurance (AI & Data Platforms) Location: Atlanta, Ga 30309 Duration: 10 Months Client- Southern Company Gas Position Overview We are seeking an experienced Data Engineer ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a ...

Leidos

Data Engineer

Atlanta, GA · On-site

$87K - $157K/yr

Leidos is seeking a Data Engineer to support the National Healthcare Safety Network (NHSN) support contract on a strategic modernization initiative to migrate SAS datasets, ETL processes, and ...

Inspire Brands, Inc.

Lead Data Engineer

Sandy Springs, GA · On-site

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality ...

Inspire Brands

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality ...

Inspire Brands

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality ...

CEDENT

GCP Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Local Candidate only, Alpharetta, GA Overview We are seeking a highly skilled Data Engineer / Cloud Data Solutions engineer with experience in Google Cloud Platform (GCP) to design, build, and ...

TEKsystems

Data Engineer

Atlanta, GA

$75/hr

The ideal candidate combines strong data engineering fundamentals with hands-on experience in modern AI development workflows, including integration into business processes. Key Responsibilities ...

innovitusa

Data Engineer

Atlanta, GA

$110K - $132K/yr

📌 W2 Candidates Only 📌 USC & GC Preferred Job Summary We are looking for a Data Engineer to design and maintain enterprise data platforms that support reporting, analytics, business ...

4pconsultinginc

Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Key Responsibilities Data Engineering & Pipeline Development * Design, build, and maintain scalable and reliable data pipelines * Combine raw data from multiple sources into clean, structured ...

Contact Government Services, LLC

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

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All Jobs1099 Data Engineer Jobs1099 Data Engineer Jobs in Georgia

1099 Data Engineer information

What are some common challenges faced by 1099 data engineers working as independent contractors?

As a 1099 Data Engineer, one of the main challenges is managing multiple client projects simultaneously while maintaining clear communication and meeting deadlines. Independent contractors are also responsible for their own tools, data security, and staying current with evolving technologies without direct employer support. Additionally, building trust with clients and consistently demonstrating value is essential, since contract extensions and new opportunities often depend on proven performance. Networking and self-promotion are key to securing a steady flow of projects.

What is a 1099 data engineer?

A 1099 Data Engineer is an independent contractor who designs, builds, and manages data systems for organizations, typically working on a project or freelance basis rather than as a full-time employee. The '1099' refers to the IRS tax form used for reporting income earned by self-employed individuals or contractors in the United States. Unlike traditional employees, 1099 Data Engineers are responsible for their own taxes and benefits, and they often work with multiple clients. Their duties may include data integration, pipeline development, database management, and ensuring data reliability. This role is ideal for those seeking flexible work arrangements and a variety of projects.

What are the key skills and qualifications needed to thrive as a 1099 data engineer?

To thrive as a 1099 Data Engineer, you need strong expertise in data modeling, SQL, ETL development, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in these technologies are highly valued. Excellent problem-solving, communication, and time-management skills are crucial for independently managing projects and client relationships. These competencies ensure efficient data solutions, reliable project delivery, and successful collaboration in a contract-based environment.

What is the difference between 1099 Data Engineer vs W-2 Data Engineer?

Aspect1099 Data EngineerW-2 Data Engineer
Employment StatusIndependent contractor, self-employedEmployee of the company
CredentialsTypically required to have relevant skills and certifications, but no employer-provided credentialsSame credentials as 1099, often with additional company-specific training
Work EnvironmentRemote or on-site, project-basedUsually on-site or hybrid, with company benefits
Tax & BenefitsResponsible for own taxes, no benefitsEmployer handles taxes, provides benefits

In summary, a 1099 Data Engineer works independently, managing their own taxes and benefits, while a W-2 Data Engineer is employed directly by a company with standard employee benefits. Both roles require similar skills and certifications, but differ mainly in employment status and associated responsibilities.

What are popular job titles related to 1099 Data Engineer jobs in Georgia? For 1099 Data Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching 1099 Data Engineer jobs in Georgia look for? The top searched job categories for 1099 Data Engineer jobs in Georgia are:
What cities in Georgia are hiring for 1099 Data Engineer jobs? Cities in Georgia with the most 1099 Data Engineer job openings:
1099 Data Engineer jobs near you
Infographic showing various 1099 Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 67% In-person, 10% Hybrid, and 23% Remote job distribution.

Sr Data Engineer

ACI Infotech

Atlanta, GA • On-site

$110K - $132K/yr

Other

Re-posted 3 days ago

Job description

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role)
Location: Atlanta, GA
Duration: FULL TIME / C2H
Mode: Hybrid ( 3 days a Week)
This Data Engineering Lead (Marketing) position is part of Client IT's Marketing Technology team focused on enabling the development and roll-out of world-class modern Marketing Data Engineering capabilities at Client. This role partners with teams responsible for Marketing and Digital Guest Engagement platforms that leverage world-class technology to create personalized, relevant, data-driven experiences. In this role, you will lead teams designing and building Data & BI solutions that capture, explore, transform, and utilize curated data to support Marketing Business Unit's Data-driven transformation journey and decision-making process. In addition to leading the design and implementation of data products, you will also mentor and develop a team of contingent worker data engineers onsite and offshore.
Duties and Responsibilities: (Scope of the role, day to day activities, expected outcomes, highlights any complexities associated with the role)
Thought Leadership (20%)
Provides industry thought leadership to fellow team members across business and technical project dimensions, solving complex business requirements.
Proactively considers the future state of the organization and how technology can support these efforts.
Advocates and define Marketing Data Engineering vision from a strategic perspective, including internal and external platforms, tools, and systems.
Maintains overall MarTech industry Data knowledge on latest trends, technology, etc.
Mentoring (20%) Manage and lead a technical team responsible for data engineering and analysis.
focusing on individual's professional development as well as overall team health and technical proficiency on their assigned project tasks.
Conducts product work reviews with team members.
Serves in the development of team members by actively facilitating new learning opportunities and experiences in the Data Engineering space.
Development (20%)
Design and implement scalable data solutions on Azure platform using Data Factory, Databricks, PySpark, Python and other related services.
Build data pipelines and workflows to ingest, transform, and load data from various sources.
Develop and maintain data models and schemas for efficient data storage and retrieval.
Develop and maintain CI/CD pipelines for automated deployment and testing of data solutions. Lead development and production deployment of analytic Data and BI products (also potentially pilots and proof of concepts), determining appropriate design strategies and methodologies.
Collaborations (20%)
Collaborate and maintain relationships with cross-functional teams (Cloud Infra, Enterprise Data & IT-SEC) to ensure data solutions meet business requirements.
Continuously evaluate and recommend new data technologies and approaches to improve data solutions.
Develop business partnerships and influence priorities by identifying solutions that are aligned with current business objectives and closely follow industry trends; understanding how to apply them and sharing knowledge with coworkers.
Communicate with partners, describing technology concepts in ways the business can understand, documenting initiatives in a concise and clear manner.
Partner with Enterprise Data management & information security colleagues to ensure the adherence of Data Governance standards for Client.
Data Engineering Lead (Marketing)
Delivery Management (20%)
Find creative solutions to challenging problems involving factors with potentially broad implications; reflecting on solutions, measuring impact, and using that information to ideate and optimize.
Execute data strategies with an understanding of enterprise architecture, consumption patterns, platforms and application infrastructure.
Stay ahead of the impediments to ensure a smooth, on time and in budget, implementation of Data Projects
Collect weekly status updates from Dev teams across multiple Data POD teams and consolidate for leadership project health reporting.
Work Experience/ Education: (Required work experience and education / preferred experience and education that is beneficial to the role. Work experience can include management experience or any functional expertise where proficiency is necessary to be successful in the role)
Bachelor's degree in computer science, Information Technology or a related study, or equivalent experience
5+ years of hands-on Data Engineering experience with On-Prem and Cloud based Data tools/Platforms,
3+ years of experience in data engineering with expertise specifically in Azure Data Factory, Databricks, PySpark, Python and related services.
Proven experience in leading and managing technical teams in data engineering and analysis.
Experience in designing and developing data models and schemas.
Strong proficiency in programming languages such as Python.
Experience in developing and maintaining CI/CD pipelines for automated deployment and testing.
Good understanding of cloud computing and its services (e.g., Azure, AWS, Google Cloud Platform).
Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience with the some of the following concepts: Real-time & Batch Data Processing, Workload Orchestration, Cloud, Data lakes, Data Security, Networking, Serverless, Testing / Test Automation (Unit, Integration, Performance, etc.), WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization
Skilled leading and/or participating in system design and architectural activities including technical requirement writing experience and ability to lead collaboration sessions for important design reviews and decisions.
Proven experience succeeding in complex, matrix and cross-functional projects
Ability to personally deliver large scale initiatives in a fast-paced environment with high levels of complexity and ambiguity
Experience and comfort managing indirect teams; scrums, agile cross functional teams, vendor stakeholders
Strong collaboration skills and the ability to work in a team-based environment including employees, vendors and third-party contractors
Ability to inspire, influence and collaborate across a wide range of constituents across functions and organizational levels
Excellent mentoring skills and the desire to contribute to efforts beyond the scope of the day-to-day project work
Excellent written, presentation and oral communication skills
Knowledge of technical architecture as a role discipline
Good to have, but not mandatory:
Experience working with Loyalty Management data, and other Marketing business processes data
Experience with Campaign Management, Customer Data Platforms, Content Management, Advertising Technology, Personalization Engines as a Solution, etc., Tech Skills:
Data Engineering Lead (Marketing)
Microsoft Azure Cloud: Azure Data Factory, APIM, Function Apps, Logic Apps, Key Vault, Azure App Insights, Azure SQL, Azure DevOps
Databases: Azure SQL, Databricks, MongoDB,
DevOps: GitHub, Azure DevOps, CI/CD Pipelines
Programming Languages: SQL, PYTHON, SCALA, R
API Development: Azure APIM, REST APIs, web services, security such as Oauth2, SAML, IDM, open API standards like swaggers, RAML, developer portal,
API Testing: Postman,
Log Analytics: Splunk, Dynatrace
Web/Mobile App Analytics: Google Analytics, Firebase, Google Tag management
Architecture modeling: Lucid Chart, Visio, ARIS, etc.,
Software development Experience using SaFe Agile methodologies.

ACI (Advanced Computing International) is a Global Technology Services, Products & Solutions Company focused on designing and delivering the next generation applications and digital experiences for businesses and consumers. We specialize in Big Data & Analytics, Digital Transformation, IT Service Management, Cognitive Solutions, Artificial Intelligence, IOT & Future Networks, DevOps, Enterprise Applications & Managed Infrastructure Services & Industry Specific Solutions.

Leveraging the insights gained from working on innovative solutions and disruptive technologies, ACI develops Solutions to enhance business performance, accelerate product & applications time-to-market, harmonize Consumer Experiences and streamline their business operations. ACI works with clients across different business sectors: Financial Services, Healthcare, Manufacturing, Hi-Tech, Media, Utilities, Public sector, Retail, Telecom, E-commerce & Logistics, and Higher Education. ACI s core DNA is built on Innovation and co-existence to build a collaborative ecosystem where companies and consumers win.

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