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Manager Data Engineering Jobs in Georgia (NOW HIRING)

Onsite It Advisors LLC

Be Seen First

Data Engineer

Atlanta, GA · On-site

$135K - $155K/yr

... cloud engineering teams to deploy and manage data solutions on Azure • Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices • Document data ...

New

Ditto

$222K - $283K/yr

As an Engineering Manager, Data Sync, you will lead the teams responsible for the core technologies that make Ditto work: our data sync engine (including novel replication algorithms and CRDT ...

Cargill

Principal, Data Engineering

Atlanta, GA

Job Summary The Principal, Data Engineering job provides thought leadership in the execution of ... STAKEHOLDER MANAGEMENT: Cultivates positive relationships and partners to understand data needs and ...

Cargill

Principal, Data Engineering

Atlanta, GA · On-site

Job Summary The Principal, Data Engineering job provides thought leadership in the execution of ... STAKEHOLDER MANAGEMENT: Cultivates positive relationships and partners to understand data needs and ...

Pwc

Data Engineer - Manager

Atlanta, GA · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Cargill

Principal, Data Engineering

Atlanta, GA

Job Summary The Principal, Data Engineering job provides thought leadership in the execution of ... STAKEHOLDER MANAGEMENT: Cultivates positive relationships and partners to understand data needs and ...

PrizePicks

Senior Technical Product Manager

Atlanta, GA · On-site

$121K - $160K/yr

... Product Manager - Data to own the full lifecycle of our internal data platform - from data ... Partner with Data Engineering on pipeline architecture, ETL design, and data quality standards.

LVTLABS\-Magus

Data Engineering Lead

Alpharetta, GA

... database management, and data integration using Informatica and PL\/SQL . \n \n \n * Team ... Guide and mentor a team of engineers and developers, offering technical direction, support, and ...

HUB

Master Data Management Engineer

Atlanta, GA

$110K - $132K/yr

They will primarily be responsible for the metadata management and engineering of the MDM platform of our Enterprise Data & Analytics environment. * This role will work closely with our Business Data ...

Pwc

Data Engineer - Manager

Atlanta, GA

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... Developing data architecture and optimization strategies using Snowflake and Databricks ...

Edible Brands

Vice President, AI & Data Engineering

Atlanta, GA · On-site

$173K - $223K/yr

VP, AI & Data Engineering Who are we, and what do we do?      Edible Brands ® was launched ... Proven experience managing and growing junior technical talent into high performers. * Experience ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

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 ...

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Manager Data Engineering information

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are the most commonly searched types of Data Engineering jobs in Georgia? The most popular types of Data Engineering jobs in Georgia are:
What are popular job titles related to Manager Data Engineering jobs in Georgia? For Manager Data Engineering jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Georgia look for? The top searched job categories for Manager Data Engineering jobs in Georgia are:
What cities in Georgia are hiring for Manager Data Engineering jobs? Cities in Georgia with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Onsite It Advisors LLC

Atlanta, GA • On-site

$135K - $155K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

In this position, you will play a critical role within the organization, helping to manage and transform complex data ecosystems to provide scalable, analysis-ready solutions that inform senior leadership decisions.

You will be at the technical forefront of data pipeline development, data architecture, and infrastructure optimization, ensuring that the organization’s analytical operations rest on a robust and secure foundation. This is a role for a highly technical and driven individual capable of building enterprise-level data management systems that support current and future data science initiatives. Your expertise will enable critical insights, informing strategies, optimizing data processes, and facilitating efficient decision-making.

You will work alongside a team of data scientists, operational leaders, and infrastructure architects to maintain the integrity, scalability, and performance of critical data systems within the organization.

Key Responsibilities:

• Design, implement, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL
• Build, optimize, and manage data models, warehouses, and lakehouse environments, such as Databricks
• Develop processes for ingesting, cleaning, validating, and transforming large-scale datasets from APIs, relational sources, and unstructured systems
• Implement data quality, metadata management, and governance controls to ensure consistency and trust in analytics workflows
• Collaborate with cloud engineering teams to deploy and manage data solutions on Azure
• Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices
• Document data architecture, pipeline logic, and operational procedures to enable team collaboration and maintainability

You Have:

• 8+ years of experience in data engineering, software engineering, or database architecture
• 6+ years of experience in Python and SQL, with experience building scalable ETL/ELT pipelines
• 2+ years of experience with cloud data ecosystems such as Azure Data Factory
• 1+ years of experience with modern data processing frameworks such as Databricks
• Experience integrating and transforming data from diverse formats and systems, including APIs, flat files, and relational sources
• Knowledge of relational and NoSQL databases, data modeling, and schema design
• Knowledge of data governance, security, and compliance principles for enterprise data environments
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related quantitative field

Nice If You Have:

• Experience supporting key data engineering efforts in a government-related environment
• Experience collaborating with data scientists and analysts to define data models that meet evolving organizational goals
• Knowledge of IT infrastructure practices and data access methodologies
• Knowledge of advanced data security practices, governance policies, and compliance frameworks
• Previous CDC experience
• Certifications such as Microsoft Certified: Azure Data Engineer Associate

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.