Principal IT Data Engineering Position Available In Fulton, Georgia

Principal IT Data EngineeringPrincipal IT Data EngineeringJob category:

IT /

TelecommunicationsDepartment:

Data & TechnologyOrganization:

Mercedes-Benz USA, LLCLocation:

Mercedes-Benz

USA, LLC

Corporate Headquarters, Atlanta, GAStart date:immediatelyPublication date:20.05.2025Job number:

MER0003NGGWorking time:full time TasksAbout Us
Mercedes-Benz is USA is responsible for the sales, marketing and service of all Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values. Our products and employees reflect this dedication. We are looking for diverse top-notch individuals to join the Mercedes-Benz Team and uphold these hallmarks.
Job Overview The Data Ops Engineer is responsible for day-to-day technical development and delivery of data pipelines into Data Platforms @ MBUSA. You will ensure delivery of solutions based on the backbone of good architecture, best data engineering practices around operational efficiencies, security, reliability, performance and cost optimization. Responsibilities
Design, build and optimize data engineering pipelines to extract data from different sources and applications and feed into cloud data platform
Work closely with MBUSA Data & Insights team in building, testing and productionising data extraction, transformation and reporting solutions within data platform
Code, test, and document new or modified data models and ETL/ELT tools to create robust and scalable data assets for reporting and analytics
Peer review code and promote dev ops culture within data team
Develop ETL/ELT pipelines on Azure Data Platform using ADF, Databricks or Python to load data across multiple sources into the datalake, warehouse and data marts
Build and maintain the CI/CD pipelines to improve developer productivity, agility and code quality
Be in charge of Data Ingestion Process for Data needed for Data solutions and projects (1st, 2nd and 3rd party data) including structural, semi-structural and nonstructural data
Enhance the quality of data following the guidelines provided by the Data Quality Frame work and maintain the cataloging of data and dictionary
Maintain platform performing regular tasks such as user management and audit, resource utilization, alerts monitoring, code reviews
Have a good understanding of data platform best practices to achieve economies of scale, cost reduction and efficiencies
To be successful in this role, you have to be an experienced Data Ops Engineer with demonstrated knowledge and experience within data delivery, ETL/ELT, data management, solution design and delivery. QualificationsQualifications

Education:

University degree or above in Computer Engineering, Computer Science or equivalent.

Experience:

Essential:

• A minimum of 3 years work experience in Data Engineering
• 3+ years of hands on experience in building ETL/ELT for large scale data pipelines
• 3+ years of experience with solution architecture, data ingestion, query optimization, data segregation, ETL, ELT, CI/CD framework
• 1+ years experience on SQL Server or Azure Synapse data warehouses
• Hands on experience in data processing (using Spark, Python) for cloud data platforms, scheduling and monitoring of ETL/ELT jobs in Azure
• Maintain platform performing regular tasks such as user management and audit, resource utilization, alerts monitoring & code reviews
• Experience building frameworks and tools (mostly Spark, Scala, Python) to process data and generate modelling data more efficiently
  Desirable but not

Essential:

• 1+ years’ experience with data visualization tools such as Power BI
• 1+ years’ experience on Azure stack (SQL Warehouse, Azure Functions, Log Analytics etc)
• 1+ years’ experience working on Agile delivery framework including Scrum, Kanban
• A background in the automotive domain

Additional Information:

• Must be able to work flexible hours/work schedule
• Travel domestically and internationally as needed
• Work Holidays when required
• Work weekends when required
• A self-starter and self-motivated
  EEO Statement
  Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team.

We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law.

BenefitsMobile Phone for Employees PossibleEvents for EmployeesHealth BenefitsCompany RetirementMobility OffersFlextime PossibleDiscounts for Employees PossibleCoachingAnnual Profit Share Possible We need your consent to load the YouTube Video service!

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This content is not permitted to load due to trackers that are not disclosed to the visitor. The website owner needs to setup the site with their CMP to add this content to the list of technologies used. powered by Usercentrics Consent Management Platform ContactMercedes-Benz USA, LLCOne Mercedes-Benz Drive30328 AtlantaDetails to location

Melissa Pair E-Mail:

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The Mercedes-Benz Group.

The Mercedes-Benz Group AG (former Daimler AG) is one of the world’s most successful automotive companies. With Mercedes-Benz AG, we are one of the leading global suppliers of premium and luxury cars and vans. Mercedes-Benz Mobility AG offers financing, leasing, car subscription and car rental, fleet management, digital services for charging and payment, insurance brokerage, as well as innovative mobility services.

Learn more
Technical Support HotlineContactLocationsDo not sell or share my personal information (CCPA & CPRA)ProviderLegal NoticeSettingsPrivacy StatementThird Party License NoticeTerms & Conditions© 2025 Mercedes-Benz Group AG. All rights reserved..uc-embedding-1 {width: 508.5px; height: 150px;}.uc-embedding-2 {width: 400px; height: 280px;}[[“Reactive”,1],{“data”:2,”state”:236,”_errors”:250,”serverRendered”:249,”path”:252},{“maeLPiIiQJ”:3,”2QQp6KtScw”:111,”EOiFpUHDwK”:226},{“

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MER0003NGG

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USA, LLC

“,[146],{“Continent”:120,”ContinentName”:147,”Country”:148,”CountryName”:149,”CountryCode”:150,”CountrySubDivision”:151,”CountrySubDivisionName”:149,”City”:152,”CityName”:153,”PostalCode”:154,”StreetName”:155,”Longitude”:156,”Latitude”:157,”DisplayName”:158},”North America”,”475″,”United States”,”US”,”4829″,”2461″,”Atlanta, GA”,”30328″,”One Mercedes-Benz Drive”,-84.4008,33.75768,”Mercedes-Benz

USA, LLC

Corporate Headquarters, Atlanta, GA”,”3203″,”Atlanta, One Mercedes-Benz Drive, US30328C”,[162],”https://jobs.mercedes-benz.com/api/image/medialibrary/logo-mb-180×94-w180xh100.png?v=4b14bb254af3e024a8de17155b0974a6″,[164],{“Tasks”:165,”Qualifications”:166},”u003Cp>About Usu003C/p>nu003Cp>Mercedes-Benz is USA is responsible for the sales, marketing and service of all Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values. Our products and employees reflect this dedication. We are looking for diverse top-notch individuals to join the Mercedes-Benz Team and uphold these hallmarks.u003C/p>nu003Cp>u003C/p>nu003Cp>Job Overview u003C/p>nu003Cp>u003C/p>nu003Cp>The Data Ops Engineer is responsible for day-to-day technical development and delivery of data pipelines into Data Platforms @ MBUSA. You will ensure delivery of solutions based on the backbone of good architecture, best data engineering practices around operational efficiencies, security, reliability, performance and cost optimization. u003C/p>nu003Cp>u003C/p>nu003Cp>Responsibilitiesu003C/p>nu003Cp>u003C/p>nu003Cul>nu003Cli>Design, build and optimize data engineering pipelines to extract data from different sources and applications and feed into cloud data platformu003C/li>nu003Cli>Work closely with MBUSA Data & Insights team in building, testing and productionising data extraction, transformation and reporting solutions within data platformu003C/li>nu003Cli>Code, test, and document new or modified data models and ETL/ELT tools to create robust and scalable data assets for reporting and analyticsu003C/li>nu003Cli>Peer review code and promote dev ops culture within data teamu003C/li>nu003Cli>Develop ETL/ELT pipelines on Azure Data Platform using ADF, Databricks or Python to load data across multiple sources into the datalake, warehouse and data martsu003C/li>nu003Cli>Build and maintain the CI/CD pipelines to improve developer productivity, agility and code qualityu003C/li>nu003Cli>Be in charge of Data Ingestion Process for Data needed for Data solutions and projects (1st, 2nd and 3rd party data) including structural, semi-structural and nonstructural datau003C/li>nu003Cli>Enhance the quality of data following the guidelines provided by the Data Quality Frame work and maintain the cataloging of data and dictionaryu003C/li>nu003Cli>Maintain platform performing regular tasks such as user management and audit, resource utilization, alerts monitoring, code reviewsu003C/li>nu003Cli>Have a good understanding of data platform best practices to achieve economies of scale, cost reduction and efficienciesu003C/li>nu003C/ul>nu003Cp>u003C/p>nu003Cp>To be successful in this role, you have to be an experienced Data Ops Engineer with demonstrated knowledge and experience within data delivery, ETL/ELT, data management, solution design and delivery. u003C/p>”,”u003Cp>Qualificationsu003C/p>nu003Cp>u003C/p>nu003Cp>

Education:

University degree or above in Computer Engineering, Computer Science or equivalent.u003C/p>nu003Cp>u003Cbr>

Experience:

u003C/p>nu003Cp>u003C/p>nu003Cp>

Essential:

u003C/p>nu003Cp>u003C/p>nu003Cp>

• A minimum of 3 years work experience in Data Engineering u003Cbr>
• 3+ years of hands on experience in building ETL/ELT for large scale data pipelinesu003Cbr>
• 3+ years of experience with solution architecture, data ingestion, query optimization, data segregation, ETL, ELT, CI/CD frameworku003Cbr>
• 1+ years experience on SQL Server or Azure Synapse data warehouses u003Cbr>
• Hands on experience in data processing (using Spark, Python) for cloud data platforms, scheduling and monitoring of ETL/ELT jobs in Azure u003Cbr>
• Maintain platform performing regular tasks such as user management and audit, resource utilization, alerts monitoring & code reviewsu003Cbr>
• Experience building frameworks and tools (mostly Spark, Scala, Python) to process data and generate modelling data more efficientlyu003C/p>nu003Cp>u003C/p>nu003Cp>Desirable but not

Essential:

u003C/p>nu003Cp>u003C/p>nu003Cp>

• 1+ years’ experience with data visualization tools such as Power BIu003Cbr>
• 1+ years’ experience on Azure stack (SQL Warehouse, Azure Functions, Log Analytics etc)u003Cbr>
• 1+ years’ experience working on Agile delivery framework including Scrum, Kanban u003Cbr>
• A background in the automotive domainu003C/p>nu003Cp>u003C/p>nu003Cp>u003C/p>nu003Cp>

Additional Information:

u003C/p>nu003Cp>u003C/p>nu003Cp>

• Must be able to work flexible hours/work scheduleu003Cbr>
• Travel domestically and internationally as neededu003Cbr>
• Work Holidays when requiredu003Cbr>
• Work weekends when requiredu003Cbr>
• A self-starter and self-motivatedu003C/p>nu003Cp>u003C/p>nu003Cp>u003C/p>nu003Cp>EEO Statementu003C/p>nu003Cp>u003C/p>nu003Cp>Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team.

We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law.u003C/p>”,”1336″,”US30328C”,”https://www.youtube.com/embed/nfxTgysD9jw”,”Data & Technology”,[172],{“Name”:173,”Email”:174,”Street”:155,”Zip”:154,”City”:175,”LocationName”:158,”Website”:176,”Image”:162},”Melissa Pair”,”extern.pair@mbusa.com”,”Atlanta”,”https://group.mercedes-benz.com/careers/about-us/locations/location-detail-page-5206.html”,[178,182,186,190,194,198,202,206,210],{“Id”:179,”Icon”:180,”Name”:181},”34″,”icon-employee-mobile”,”Mobile Phone for Employees Possible”,{“Id”:183,”Icon”:184,”Name”:185},”37″,”icon-corporate-event”,”Events for Employees”,{“Id”:187,”Icon”:188,”Name”:189},”40″,”icon-health-measures”,”Health