Data Engineer

About the role

We are seeking a highly motivated Data Engineer to design, develop, and maintain scalable data solutions that support analytics, reporting, and business operations. The ideal candidate will have strong experience in building data pipelines, data warehouses, and modern data platforms while ensuring data quality, governance, security, and performance across the enterprise.

Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines for structured and unstructured data processing.
• Build scalable and reliable data solutions to support analytics, reporting, and operational use cases.
• Develop and optimize data models, database schemas, and storage structures.
• Integrate data from multiple internal and external systems and applications.
• Develop, maintain, and enhance data warehouses, data lakes, and lakehouse platforms.
• Implement data validation, cleansing, transformation, and quality assurance processes.
• Ensure data integrity, governance, security, and compliance across enterprise data platforms.
• Monitor, troubleshoot, and optimize data pipelines to improve performance, scalability, and reliability.
• Automate data workflows, scheduling, and operational processes.
• Support data migration, modernization, and cloud transformation initiatives.
• Collaborate with Data Scientists, Business Analysts, Product Owners, and Application Development teams to deliver business-driven data solutions.
• Document data architectures, data flows, technical designs, and operational procedures.
• Participate in code reviews and promote engineering best practices, standards, and continuous improvement.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 5+ years of experience in Data Engineering, Data Warehousing, or Data Integration.
• Strong experience with ETL/ELT development and data pipeline design.
• Proficiency in SQL and at least one programming language such as Python, Java, or Scala.
• Experience with relational and NoSQL databases.
• Strong understanding of data modeling, data warehousing, and modern data architectures.
• Experience working with cloud-based data platforms and big data technologies.
• Knowledge of data governance, data quality, and security best practices.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with modern data lake and lakehouse architectures.
• Familiarity with Spark, Databricks, Snowflake, or similar data technologies.
• Experience with CI/CD, DevOps, and workflow orchestration tools.

Pay

The base compensation range for this role in the posted location is: $80,786 – $90,273. This range may be subject to change as permitted by law. The actual compensation offered may fall outside of the posted range and will be determined based on multiple factors including geographic location, education, certifications, relevant experience, seniority, market and business considerations, and internal pay equity.

Benefits

• Paid time off based on employee grade (A-F): Vacation (12–25 days), company paid holidays, personal days, sick leave.
• Medical, dental, and vision coverage.
• Retirement savings plans (e.g., 401(k)).
• Life and disability insurance.
• Employee assistance programs.