Data Engineer Advisor
Role details
Job location
Tech stack
Job description
We are seeking a Senior Data Engineer to join the core Symphony platform team in an onshore capacity. This is a hands-on development role focused on building, maintaining, and optimizing data pipelines and warehousing solutions. The engineer will work within a local-first development model and is expected to be a strong, independent contributor capable of owning complex workstreams.
Day to Day Job Duties: Design, develop, and maintain data pipelines using Scala and SQL on Apache Spark. Monitor and support Phase 1 pipelines post go-live. Investigate and remediate pipeline failures, data quality issues, and performance bottlenecks. Lead refactoring and cleanup of existing Phase 1 code. Optimize existing solutions for performance and scalability. Build and contribute to reusable patterns and automation frameworks. Work within TCCC''s metadata-driven architecture. Ensure pipelines are used strictly for scheduling - ETL logic must remain in code. Manage code using GitHub version control. Contribute to discovery sessions to derive requirements directly from data.
Requirements
8-10 years of hands-on data engineering experience. Strong understanding of Apache Spark and its core concepts. Proficiency in Scala and/or Java - code-first approach required. Advanced SQL skills. Experience with Azure Synapse. Working knowledge of GitHub for source control. Experience with data warehousing and large-scale data integration.
Travel: This position may require a commitment to 4 days/week in client''s office in Midtown, ATL. Degree: Bachelor''s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
Nice to Have: Experience with Microsoft Fabric. Background in marketing data or consumer goods analytics. Familiarity with metadata-driven architectures.
Non-Negotiables: Must be a hands-on builder. Must be available to mobilize immediately.
Benefits & conditions
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($90 - 95 /hourly ). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate''s actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.