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Data Engineering Jobs in Gainesville, GA (NOW HIRING)

LVTLABS\-Magus

Data Engineering Lead

Alpharetta, GA

\n \n \n \n \n We are looking for a highly skilled Data Engineering Lead to spearhead the development and optimization of advanced data solutions. This role requires an individual with expertise in ...

CEDENT

GCP Data Engineer

Alpharetta, GA

$111K - $134K/yr

The ideal candidate will have a strong background in data engineering, data modeling, and data analysis, and will be proficient in cloud-based architectures. You will be responsible for architecting ...

Qualibar

Data Engineer

Gainesville, GA · On-site

$50 - $52/hr

Experience in Data Engineering, Data Analytics, or a related field. * Strong expertise in SQL , including advanced querying, joins, indexing, and execution plans. * Proven experience with SQL ...

Kemper

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

As a senior member of the data engineering team, you will be responsible for developing scalable data validation frameworks, ensuring data integrity across pipelines and platforms, implementing ...

AXIS Capital

Data Engineer

Alpharetta, GA · Hybrid

$111K - $134K/yr

The Data & Analytics organization empowers AXIS to make informed, datadriven decisions by ... Contribute to engineering standards and participate in design reviews. * Partner with offshore ...

CEDENT

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA · On-site

$111K - $134K/yr

The ideal candidate will have a strong background in data engineering, data modeling, and data analysis, and will be proficient in cloud-based architectures. You will be responsible for architecting ...

Cedent

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA · On-site

$111K - $134K/yr

The ideal candidate will have a strong background in data engineering, data modeling, and data analysis, and will be proficient in cloud-based architectures. You will be responsible for architecting ...

Lazer Logistics

Data Engineer

Alpharetta, GA · On-site

$129K/yr

The ideal candidate is strong in data modeling and engineering, with solid collaboration and problem-solving skills. Data Modeling & Architecture Design and build data models and semantic layers ...

CLPS Global

Snowflake Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Work in Agile squads with BAs, QA, and platform engineering; participate in design reviews and code reviews. Required Qualifications: 8+ years in data engineering; 4+ years hands-on Snowflake in a ...

New

CLPS Global

Snowflake Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Work in Agile squads with BAs, QA, and platform engineering; participate in design reviews and code reviews. Required Qualifications * 7+ years in data engineering; 4+ years hands-on Snowflake in a ...

New

OVA.Work

data science engineer

Alpharetta, GA · On-site

$108K - $130K/yr

... engineering or related roles • Experience with modern data stack tools like Airflow, Snowflake, Databricks, or dbt • Exposure to machine learning pipelines is an advantage • Relevant ...

Qualibar

Data Engineer

Gainesville, GA · On-site

$106K - $128K/yr

Bachelor''s degree in Computer Science, Information Systems, Engineering, or a related technical field (or equivalent work experience). * 4+ years of experience in Data Engineering, Data Analytics ...

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All JobsData Engineering JobsData Engineering Jobs in Gainesville, GA

Data Engineering information

See Gainesville, GA salary details

$42.9K

$153.9K

$227.1K

How much do data engineering jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data engineering in Gainesville, GA is $153,872.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,500.00 and $158,500.00 per year, depending on experience, location, and employer.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What job categories do people searching Data Engineering jobs in Gainesville, GA look for? The top searched job categories for Data Engineering jobs in Gainesville, GA are:
What cities near Gainesville, GA are hiring for Data Engineering jobs? Cities near Gainesville, GA with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Gainesville, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $153,872 per year, or $74 per hour.

Data Engineering Lead

LVT Labs Consulting

Alpharetta, GA • On-site

Full-time

Re-posted 18 days ago

Job description


We are looking for a highly skilled Data Engineering Lead to spearhead the development and optimization of advanced data solutions. This role requires an individual with expertise in Informatica, SQL, and database technologies, who can lead a dynamic team to support business intelligence and analytics initiatives. The successful candidate will be responsible for the end-to-end design, implementation, and maintenance of scalable data systems that align with business needs.
Key Responsibilities:
  • Design and Implementation: Lead the creation and optimization of datasolutions that support business analytics, including ETL workflows,database management, and data integration using Informatica and PL/SQL.
  • Team Leadership: Guide and mentor a team of engineers and developers, offeringtechnical direction, support, and code reviews to ensure the high qualityand efficiency of data systems.
  • Cross-functional Collaboration: Work closely with business analysts, stakeholders,and product teams to translate business objectives into scalableand efficient data solutions.
  • Hands-on Development: Play an active role in hands-on coding,debugging, and troubleshooting of data pipelines and workflows to ensureoptimal system performance.
  • Documentation & Reporting: Maintain clear and detailed documentation forall data solutions, including data architecture, ETL processes, andperformance metrics. Ensure that technical specifications are well-definedand executed.
  • Data Governance: Oversee the implementation of data quality standards andgovernance practices to ensure the integrity and reliability of dataacross pipelines.
  • Incident Resolution: Proactively identify potential issues and leadtroubleshooting efforts to resolve incidents related to data systems,collaborating with cross-functional teams to ensure prompt resolution.
  • Continuous Improvement: Recommend and implement improvements toexisting systems, applying modern tools and technologies to enhanceperformance, scalability, and security.
  • Innovation:Explore and introduce new methodologies and technologies to continuouslyenhance data management processes and provide innovative solutions tobusiness challenges.

Requirements
Skills & Qualifications:
  • Expertise in Informatica PowerCenter andother ETL tools, with advanced knowledge of data warehousing andperformance optimization techniques.
  • Strong command of SQL, PL/SQL, andexperience with MSSQL, Teradata, and Oracle databases.
  • Proven experience in data integration, ETLdesign, and database architecture.
  • Deep understanding of cloud-based technologies,with experience in Azure, AWS, or GCP being a plus.
  • Familiarity with big data technologies such as Hadoop, Hive, and Spark.
  • Experience with Agile methodologies andfamiliarity with DevOps practices for code deployment.
  • Strong problem-solving and troubleshooting skills with the ability to resolve complex technical issues.
  • Excellent communication skills, with a trackrecord of working effectively with both technical and non-technicalstakeholders.
  • Ability to lead projects from start to finishwhile maintaining a focus on quality, deadlines, and stakeholder needs.
  • Nice-to-Have: Experience with Python or Scala, and in-depthknowledge of customer profitability analysis or the financialservices domain.
Position Details:
  • Hands-on:Approximately 80% of the role will involve hands-on development,debugging, and troubleshooting of data systems.
  • Innovation & Leadership: The remaining 20% will be dedicated to leadinginnovation initiatives, mentoring junior team members, and driving theevolution of our data systems.

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