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Data Engineering & Pipelines
- Design, build, and maintain scalable data pipelines using Python, SQL, PySpark, and Microsoft Fabric.
- Integrate with external systems using REST/Graph APIs, managing authentication, pagination, rate limits, and error handling.
- Support and enhance existing pipelines, ensuring high reliability, observability, and performance.
- Migrate current Python-based or legacy pipelines into Microsoft Fabric (Data Factory, Data Engineering/Notebooks, Lakehouse).
Data Analytics & Modeling
- Build and maintain data models, semantic layers, and analytics-ready datasets.
- Develop transformations and calculations needed for BI and reporting.
- Create or support analytical outputs using tools such as Power BI.
- Implement data quality checks, validation rules, and data governance best practices.
Operations & Continuous Improvement
- Troubleshoot pipeline/data issues, identify root causes, and provide long-term solutions.
- Optimize performance, cost, and reliability across all data workflows.
- Collaborate with business, product, analytics, and IT teams to translate requirements into technical solutions.
- Maintain documentation, data lineage, and change management practices.
Pay and Benefits:
Pay Range Minimum: $69,000 per year
Pay Range Maximum: $177,000 per year
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.
Compensation and Benefits
A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.
