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Associate Data Engineer Jobs in Sandy Springs, GA

Home Depot

Online Sr Data Engineer (SEO) - Onsite

Atlanta, GA · On-site

$108K - $130K/yr

These associates use big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. The Sr Data Engineer position ...

Pwc

Data Strategy-Manager

Atlanta, GA

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Governance- Manager

Atlanta, GA

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Pwc

GenAI Python Systems Engineer-Manager

Atlanta, GA

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Accenture

Google Data Specialist

Atlanta, GA · On-site

$70K - $196K/yr

Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience working in agile delivery environments. Compensation at Accenture varies depending on a wide array ...

Deloitte

Senior Forward Deployed Engineer- AWS

Atlanta, GA · On-site

$100K - $138K/yr

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

Deloitte

Lead Forward Deployed Engineer - AWS

Atlanta, GA

$98K - $129K/yr

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Sandy Springs, GA

Associate Data Engineer information

See Sandy Springs, GA salary details

$9

$18

$30

How much do associate data engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for associate data engineer in Sandy Springs, GA is $18.60, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $19.81 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

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

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

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

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

What are popular job titles related to Associate Data Engineer jobs in Sandy Springs, GA?

For Associate Data Engineer jobs in Sandy Springs, GA, the most frequently searched job titles are:

What cities near Sandy Springs, GA are hiring for Associate Data Engineer jobs?

Cities near Sandy Springs, GA with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Sandy Springs, GA as of August 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 68% In-person, and 32% Remote job distribution, with an average salary of $38,694 per year, or $18.6 per hour.

Online Sr Data Engineer (SEO) - Onsite

Home Depot

Atlanta, GA • On-site

$108K - $130K/yr

Full-time

Posted 23 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,430 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
Online Data Engineer teams at The Home Depot translate business requirements and build the infrastructure needed to capture customer data. They acquire datasets that align with business needs and develop algorithms to transform data into useful, actionable information.
Additionally, they build, test, and maintain database pipeline architectures. They create new data validation methods and data analysis tools. Data Engineers develop application programming interfaces (APIs) to retrieve data. Our Data Engineers develop, host, and maintain in-house enterprise solutions to improve reliability and confidence through monitoring, continually testing, and validating the products we support. These associates use big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
The Sr Data Engineer position creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.
Key Responsibilities:
  • 20% - Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage.
  • 30% - Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team.
  • 35% - Solution Development - Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation.
  • 15% - Technical Exploration & Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs; Seek further knowledge on key developments within advanced analytics, technical skill sets, and additional data sources; Participate in the continuous improvement of predictive and prescriptive analytics by developing replicable solutions.

Direct Manager/Direct Reports:
  • This Position typically reports to Manager or Above.
  • This role has 0 direct reports.

Travel Requirements:
  • Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be 18 years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Bachelors or Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience.
  • 5+ years of relevant work experience
  • Demonstrated experience in predictive modeling, data mining and data analysis
  • Demonstrated experience developing and testing ETL jobs/pipelines, configuring orchestration, automated CI/CD, writing automation scripts, and supporting the pipelines in production
  • Experience in high-level programming languages such as Python
  • Experience defining and capturing metadata and rules associated with ETL processes
  • Experience building Batch and Streaming pipelines
  • Prior direct experience writing analytical SQL queries and performance-tuning queries
  • Ability to stich and maintain data from multiple sources
  • Ability to use JavaScript, Front-end development frameworks (React, Nucleus), and QA apps (Retina, KPI Shield, Alert Goose)
  • Ability to produce tags for site data
  • Ability to code in Python, Google BigQuery to stitch and enrich the raw data from multiple sources
  • Proven ability to use PySpark, AirFlow, and DataProc to engineer and automate data flows pipelines
  • Ability to optimize the pipelines run time and lower the cost on slots/storage consumption
  • Ability to prioritize requests and manage a product roadmap
  • Coaching junior engineers to help improve their code, best practices, and understanding of data engineering principles.
  • Strong verbal and written communications skills at all levels

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.

Minimum Years of Work Experience:
  • 4

Preferred Years of Work Experience:
  • 5

Minimum Leadership Experience:
  • No previous leadership experience

Preferred Leadership Experience:
  • No previous leadership experience

Certifications:
  • None

Competencies:
  • Action Oriented
  • Collaborates
  • Drives Engagement
  • Communicates Effectively
  • Customer Focus
  • Drives Results
  • Manages Conflict

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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