Manager of Data Engineering
Job Location:
Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
19 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Location:Boston MA
Position Type: Hybrid
Hybrid Schedule: 4 days/week onsite
Contract Length: 7 months contract-to-hire
Position Overview:
This role involves designing building and optimizing modern data platforms that support intelligent data-driven experiences for global clients. Responsibilities include working across cloud data engineering and analytics disciplines to enable scalable ingestion transformation and storage of enterprise data within lakehouse and warehouse architectures. The position also requires close collaboration with architects analysts and product teams to deliver reliable high-performing data solutions aligned with business goals.
Required Qualifications:
Position Type: Hybrid
Hybrid Schedule: 4 days/week onsite
Contract Length: 7 months contract-to-hire
Position Overview:
This role involves designing building and optimizing modern data platforms that support intelligent data-driven experiences for global clients. Responsibilities include working across cloud data engineering and analytics disciplines to enable scalable ingestion transformation and storage of enterprise data within lakehouse and warehouse architectures. The position also requires close collaboration with architects analysts and product teams to deliver reliable high-performing data solutions aligned with business goals.
Required Qualifications:
- Hands-on experience or strong working knowledge of Microsoft Fabric including its role in modern analytics and lakehouse architectures.
- Proven experience working in Azure for data ingestion and orchestration.
- Strong experience with Azure Data Factory (ADF) for pipeline development and scheduling.
- Experience building API-based data ingestion solutions.
- Solid understanding of data storage formats including CSV JSON and Parquet.
- Experience designing and working with data warehouses and lakehouse architectures.
- Strong foundation in data modeling concepts for analytical workloads.
- Practical experience implementing medallion architecture patterns.
- Proficiency in PySpark for large-scale data transformations and optimization.
- Ability to write clean maintainable and well-documented data pipelines.
- Experience optimizing Spark jobs for performance and cost in cloud environments.
- Familiarity with data governance data quality or observability practices in large-scale data platforms.
- Experience collaborating with analytics data science or AI teams on production-grade data solutions.
- Exposure to agile delivery models and working in cross-functional client-facing teams.
Required Experience:
Manager
About Company
Careers at LingaTech: Love Where You Work! Welcome to the vibrant world of LingaTech, where technology meets fun and innovation! Are you ready to join the adventure? As a premier employer of top-notch technology consultants, we're on a mission to assemble the most talented and passion ... View more
