Data Engineer Advisor
Remote · USJob$100–110/hrSeen todaySeen in employer's feed today
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At a glance
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Job overview
NTT DATA is seeking a Data Engineer Advisor to design and maintain scalable data pipelines and transformation solutions. The role develops data processing with Python, PySpark, SparkSQL, and SQL; builds Delta Tables and Lakehouse structures; and supports ingestion, transformation, and automation workloads. The position is fully remote and collaborates with architects, analysts, Power BI teams, and other stakeholders to deliver enterprise data solutions.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Company Overview:
Req ID: 397002
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a PBI 1 to join our team in Remote, Georgia (US-GA), United States (US).
Job Description:
Position's General Duties and Tasks
In this role you will be responsible for:
Design, develop, and maintain scalable data pipelines and data transformation solutions.
Develop data processing logic using Python, PySpark, SparkSQL, and SQL.
Build and optimize Delta Tables and Lakehouse data structures for analytics and reporting.
Develop, schedule, monitor, and troubleshoot Pipelines for data ingestion and transformation.
Create and maintain Fabric Notebooks for data engineering, transformation, and automation workloads.
Partner with architects, analysts, and Power BI teams to deliver reliable, high-quality enterprise data solutions.
Requirements for This Role Include
3+ years of Data Engineering, ETL/ELT, or cloud data development experience.
3+ years of Strong hands-on experience with SparkSQL, PySpark, Delta Tables, Pipelines, and Fabric Notebooks.
3+ years of Experience with Microsoft Fabric, Azure data services, SQL, and modern Lakehouse/data warehouse concepts.
3+ years of Experience with Git, CI/CD, data quality, and production support practices.
Bachelor's degree in Computer Science, Data Engineering, Information Technology, Engineering, or a related field, or equivalent professional experience.
Preferences
3+ years of Experience with OneLake, Fabric Lakehouse, Fabric Data Warehouse, and Azure Data Factory.
3+ years of Experience supporting Power BI and enterprise semantic/reporting solutions.
3+ years of Experience with Azure DevOps, Delta Lake, and large-scale enterprise datasets.
Work Environment
This is a fully remote position. Candidates must be comfortable collaborating with business, product, data, engineering, QA, and other stakeholders in a distributed environment.
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is [ 100 - 110 hourly range]. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
How this job compares
Set against the 6,058 open Data Engineer jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$100–110/hr
- US median$60–73/hr267 hourly ranges
This range's midpoint, $105/hr, is 56% above the US median midpoint ($68/hr) — in the top quarter of Data Engineer hourly ranges across the US.
- Openings
- Olive Jobs lists 152 open Data Engineer jobs in Georgia and 6,058 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in Georgia
- Deloitte29 open
- Accenture12 open
- Insight Global8 open
- Experience
- This posting asks for at least 3 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,300 postings).
- Education
- 2,358 of the 6,058 open Data Engineer jobs (39%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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