Senior Data Engineer

we are hiring Data Engineer (Contract-to-Hire | Remote)

Experience Level : 6+ Years

Location : Remote

Contract Type : Full-Time / Fixed-Term Contract (12 months, extendable based on performance)

Notice : Immediate to 15 Days

About the Role

We are seeking a highly skilled Data Engineer with deep expertise in Azure Data Bricks , data pipeline design , and SQL development to join our growing data engineering team. The ideal candidate will be hands-on, detail-oriented, and comfortable working in a fast-paced environment supporting advanced analytics and data-driven business decisions.

This is a contract-to-hire opportunity for a professional who excels in modern cloud data platforms and wants to contribute to scalable, reliable, and high-performance data solutions.

Key Responsibilities

Design, build, and maintain data pipelines and ETL processes in Azure Databricks and Azure Data Factory .

Develop, optimize, and manage large-scale data models and data lakes on Azure.

Write efficient and complex SQL queries for data extraction, transformation, and analysis.

Collaborate with data scientists, analysts, and business stakeholders to define and implement scalable data solutions.

Ensure data quality, consistency, and governance across multiple systems and sources.

Monitor and optimize performance of data workflows and pipelines.

Support the transition from contract to full-time by documenting processes and demonstrating technical leadership.

Must-Have Skills & Experience

6+ years of professional experience as a Data Engineer or related role.

5+ years of hands-on experience with Azure Databricks (PySpark, Delta Lake, notebooks, etc.).

2+ years building and managing data pipelines (ETL / ELT) in Azure Data Factory or similar tools.

4+ years of strong SQL development experience (query tuning, stored procedures, optimization).

Proven experience working with Azure Data Lake , Azure Synapse , or similar cloud-based data services.

Strong understanding of data modeling , data governance , and data architecture best practices .

Experience with version control (Git) , CI / CD for data pipelines , and agile development practices.

Nice-to-Have Skills

Experience with Python or Scala in data engineering workflows.

Exposure to Power BI , Azure Synapse Analytics , or Delta Live Tables .

Familiarity with DevOps , DataOps , or ML Ops pipelines.

Prior experience in contract-to-hire or startup environments.

Interested?

Apply now on LinkedIn or send your profile to ( ).