ZipRecruiter

Log In

1

Senior Data Engineer Jobs in Powder Springs, GA (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 ...

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 ...

Home Depot

Online Senior Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

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 ...

Conflux Systems

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are seeking a motivated Data Engineer to join our team and support the modernization of our data estate. This role focuses on assisting with data pipeline development, migration of legacy systems ...

ACI Infotech

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Data Prep/Train tools: Azure Databricks (ADB), Azure Stream Analytics, • Developer experience using Azure Databases: SQL databases, SQL servers, Azure Synapse Analytics, Azure SQL, Dedicated SQL ...

TIER4 GROUP

Senior Data Engineer

Atlanta, GA · Hybrid

$100K - $136K/yr

Data Engineer Location: Atlanta, Georgia (Hybrid Remote- 2 days onsite/ 3 days remote) Job Type: Full-Time The Data Engineer is a vital member of the application services team responsible for ...

Quantiphi

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Senior Data Engineer Experience Level: 5+ yrs Work Location: Atlanta, GA Role Overview As a Senior Data Engineer, you will design and build scalable, production-grade data platforms and pipelines ...

Invesco

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

About the Role: As a Senior Engineer on the Systematic Trading Technology Team, you will ... data modeling/analytics, and building applications/interfaces that not only make our trading desks ...

Invesco

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

About the Role: As a Senior Engineer on the Systematic Trading Technology Team, you will ... data modeling/analytics, and building applications/interfaces that not only make our trading desks ...

AgileEngine

Senior Data Engineer ID71671

Atlanta, GA · On-site

$104K - $141K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern data platform - designing production-grade ETL/ELT pipelines, optimizing Snowflake data warehouse ...

FAVARH

Senior Data Engineer

Atlanta, GA · On-site +1

$101K - $138K/yr

Implement enterprise solutions, in a cloud environment, using a vast range of data engineering and cloud technologies. Work on tasks independently and seek guidance from leaders as needed. Help ...

AgileEngine

Senior Data Engineer ID75059

Atlanta, GA · On-site

$104K - $141K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large ...

Voya Financial, Inc.

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Implement enterprise solutions, in a cloud environment, using a vast range of data engineering and cloud technologies. Work on tasks independently and seek guidance from leaders as needed. Help ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

As a Senior Data Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

As a Senior Data Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas ...

ACI Infotech

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Recent 4+ years of experience working as Sr. Data Engineer on Azure Cloud Platforms Work Experience: (continued) * * 4+ years of experience working on Data and Analytics projects in support of ...

TRC Talent Solutions

Senior Data Engineer/Devops

Atlanta, GA · Remote

$100K - $136K/yr

Senior Healthcare Data Engineer Remote TRC Talent Solutions is seeking a Senior Healthcare Data Engineer to support the continued growth and evolution of a healthcare organization's enterprise data ...

ACI Infotech

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Recent 2+ years of experience working as Sr. Data Engineer on Azure Cloud Platforms Work Experience: (continued) * * 1+ years of experience working on Data and Analytics projects in support of ...

previous page

Showing results 41-60

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Powder Springs, GA

Senior Data Engineer information

See Powder Springs, GA salary details

$76.7K

$119.6K

$165.7K

How much do senior data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior data engineer in Powder Springs, GA is $119,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $136,400.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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

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

What are popular job titles related to Senior Data Engineer jobs in Powder Springs, GA?

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

What job categories do people searching Senior Data Engineer jobs in Powder Springs, GA look for?

The top searched job categories for Senior Data Engineer jobs in Powder Springs, GA are:

What cities near Powder Springs, GA are hiring for Senior Data Engineer jobs?

Cities near Powder Springs, GA with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Powder Springs, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $119,624 per year, or $57.5 per hour.

Sr Data Engineer

ACI Infotech

Atlanta, GA • On-site

$110K - $132K/yr

Other

Re-posted 15 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.

Apply