Senior Associate Data Engineer
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Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
18 hours ago
Vacancies:
1 Vacancy
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 power intelligent data-driven experiences for global clients. Responsibilities include enabling scalable ingestion transformation and storage of enterprise data across lakehouse and warehouse architectures while operating at the intersection of cloud data engineering and analytics. The position also includes close collaboration with architects analysts and product teams to ensure data solutions are reliable high-performing and aligned with business objectives.
Duties:
Required Qualifications:
Preferred 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 power intelligent data-driven experiences for global clients. Responsibilities include enabling scalable ingestion transformation and storage of enterprise data across lakehouse and warehouse architectures while operating at the intersection of cloud data engineering and analytics. The position also includes close collaboration with architects analysts and product teams to ensure data solutions are reliable high-performing and aligned with business objectives.
Duties:
- Design and implement end-to-end data ingestion pipelines using Azure services including API-based ingestion and Azure Data Factory (ADF).
- Build and manage lakehouse and data warehouse solutions using modern data storage formats to support analytical and operational workloads.
- Develop and optimize data transformations using PySpark ensuring scalability performance and cost efficiency.
- Apply medallion architecture (bronze silver gold layers) to enable high-quality governed and reusable datasets.
- Partner with cross-functional teams to support data modeling analytics and downstream consumption use cases.
- Contribute to best practices around data quality reliability and maintainability across the data platform.
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.
Preferred Qualifications:
- 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:
Senior IC
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
