Data Engineer

and the job listing Expires on February 9, 2026

NOTE: Accepting applications through “Handshake” only

We are seeking a highly motivated Data Engineer with strong technical expertise and a passion for building scalable data systems. In this role, you will design, develop, and maintain data pipelines and architectures that support analytics, reporting, and machine learning initiatives across the organization.

You will work closely with data analysts, data scientists, and software engineers to ensure efficient and reliable data flow, while implementing best practices for data quality, security, and governance.

• Design, build, and optimize data pipelines for ETL/ELT processes using modern data tools and cloud technologies.
• Integrate structured and unstructured data from multiple sources into data warehouses or data lakes.
• Develop and maintain data models, schemas, and APIs for data access.
• Monitor and improve performance of data systems to ensure scalability and reliability.
• Collaborate with cross-functional teams to support data-driven decision-making and advanced analytics.
• Implement data governance, security, and compliance standards.

• 4+ years of hands‑on experience in data engineering or a related field.
• Proficiency in Python
  , SQL
  , and one or more programming languages (Scala, Java preferred).
• Strong experience with ETL tools
  , data warehousing
  , and cloud platforms (AWS, GCP, or Azure).
• Solid understanding of relational and No
  
  SQL databases
  .
• Experience with big data frameworks (Spark, Hadoop) and workflow orchestration tools (Airflow, Prefect, Dagster).
• Familiarity with version control (Git) and CI/CD practices
  .

• Currently pursuing or recently completed a Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field (graduating in May 2025, August 2025, or December 2025
  ).
• Experience with data visualization tools (Tableau, Power BI, or Looker).
• Knowledge of machine learning data pipelines and real‑time data processing (Kafka, Kinesis).
• Strong problem‑solving, analytical, and communication skills.

• Opportunity to work on cutting‑edge data infrastructure and analytics projects.
• Collaborative, growth‑oriented, and inclusive work culture.
• Competitive salary and comprehensive benefits package.
• Continuous learning and career advancement opportunities