3

Entry Level Data Engineer Remote Jobs in Atlanta, GA

Java Software Engineer - Remote

Atlanta, GA · On-site +1

$49.75 - $68.25/hr

... data loss prevention to all connections via the cloud, instantaneously and at scale. This ... As a Software Engineer at iboss, you'll have the opportunity to work on multiple technologies. Our ...

Java Software Engineer - Remote

Atlanta, GA · Remote

$49.75 - $68.25/hr

... data loss prevention to all connections via the cloud, instantaneously and at scale. This ... As a Software Engineer at iboss, you'll have the opportunity to work on multiple technologies. Our ...

Data Management Analyst

Alpharetta, GA · Remote

$60K - $65K/yr

Fully Remote Position: This role is 100% remote, allowing you to work from the comfort of your home ... Partner with data engineers and BI developers to fix defects, expand monitoring, and keep ...

... engineering services present in nearly 50 countries. The end client is in the Telecom area ... Remote, Atlanta preferred. Hands-on experience in Neo4j database development, deployment and ...

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... data engineering, data governance, and data quality across research and production pipelines ...

PhD inMathematics,Statistics,Engineering, or other STEMfieldwith related ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Requirements This is a full-time remote role for an Entry Level Growth Management position. The role will involve day-to-day tasks such as analyzing data, implementing growth hacking strategies ...

next page

Showing results 1-20

Entry Level Data Engineer Remote information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

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

As of Aug 27, 2026, the average yearly pay for entry level data engineer remote 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 is an entry level data engineer remote?

An Entry Level Data Engineer (Remote) is a professional who helps build and maintain systems for collecting, storing, and analyzing large sets of data, all while working from a location outside of a traditional office. They typically assist with tasks like setting up data pipelines, cleaning raw data, and supporting data infrastructure. These roles often require basic programming skills in languages such as Python or SQL, familiarity with cloud platforms, and a foundational understanding of databases. Working remotely, they collaborate with teams using digital communication tools to ensure data is accessible and reliable for analysis.

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

To thrive as an Entry Level Data Engineer (Remote), you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a relevant degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure), ETL tools, and version control systems like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with distributed teams. These skills ensure you can efficiently manage data pipelines, maintain data quality, and contribute effectively in a remote work environment.

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

Entry-level data engineers working remotely often face challenges such as limited access to immediate mentorship, difficulties in understanding existing data infrastructure, and coordinating effectively with cross-functional teams. Overcoming these challenges involves proactive communication—regularly checking in with team members and asking for clarification when needed. Utilizing collaborative tools, documenting your work thoroughly, and participating in virtual knowledge-sharing sessions can help you stay connected and continue learning in a remote setting.

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

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

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

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

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

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

Infographic showing various Entry Level Data Engineer Remote job openings in Atlanta, GA as of August 2026, with employment types broken down into 2% Internship, 77% Full Time, 10% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.

$101K - $138K/yr

Full-time

Posted yesterday

New


Job description

Job Duties: Senior Data Engineer with GREENSKY MANAGEMENT COMPANY LLC in Atlanta, GA. Remote work permitted. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Work with data and analytics experts to strive for greater functionality in our data systems. Design and develop/build jobs using MSSQL, SQL, Snowflake SQL, Java, Talend, JavaScript, Python and Bash to move data generated by one of our Online Transactional Processing (OLTP) databases and move it into our Data Lake. Build/develop jobs using tools such as Talend or any other ETL tools in order to allow for the data movement. Design Talend, Snowflake, and SQL jobs that will clean, transform, and move the data into the correct places. Make additions to the automated tools that display the data to the end users or simplify the data for consumption by Greensky's own internal processes. Design jobs in such a way that they can be monitored to fix any problems that arise from working on the databases. Build and maintain robust CI/CD pipelines using GitHub to automate the testing and promotion of dbt models, Snowpark procedures, and schema migrations. Implement enterprise-wide security standards using Row Access Policies, Dynamic Data Masking, and Object Tagging to automate compliance. Implement automated data quality checks, schema drift alerts, and lineage tracking to maintain trust and compliance. Mentoring data engineers, code reviews and performance enhancements to maintain engineering standards, governance and cost optimization.


Job Requirements: Master’s degree (U.S. or foreign equivalent) in Computer Information Systems, Information Technology, Computer Science, Computer Engineering, Electrical Engineering or a related field and three (3) years of experience in the job offered or in a related role. Prior experience must include three (3) years of experience with: build and maintain ETL tools to develop jobs for extracting, integrating, and loading data into data warehouse, database environments; using MS-SQL, Snow-SQL, Stored Procedures, Tasks, Warehouse Management, Amazon-AWS/S3, Talend, ETL like SSIS, HTML, XML, JSON and JavaScript, Python; develop data applications, data processing workflows and automated scripts; design and maintain stored procedure, user-defined functions and end-end data pipeline orchestrations across multiple data sources and teams; automate workflows and build complex transformations using automation tools and scheduling; implement incremental loads, CDC patterns, merge based upsert, and end-end data pipelines; build testing strategies including unit tests, data quality checks and integration checks and migrate code using CI/CD pipeline and version control tools like Github. Prior experience must include two (2) years of experience with: conducting Audit processes in cloud warehouses. Prior experience must include one (1) year of experience with: using Data governance tools such as Ovaledge with deep understanding of data catalogs, crawling and profiling meta data, and the data lifecycle process; and using change data capture tools for configuration, management and support of real time data synchronization. Up to 10% travel required. Domestic only.

GreenSky is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.  For more information, visit us on the web at www.greensky.com.