Torq is seeking a Senior Consultant - Data Engineer to lead the design and implementation of scalable data systems and provide strategic insights to clients. The ideal candidate will have hands-on experience in data warehousing, ETL development, and data modeling, as well as strong communication and collaboration skills.
Requirements
- Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field
- 5+ years of hands-on experience in data warehousing, ETL development, and data modeling
- Strong experience with ETL/ELT pipeline development, scripting automation, and performance optimization
- Proficient in Python, SQL, Apache Airflow, dbt, Kafka, Terraform, and other related tools
- Strong understanding of data architecture, schema design, normalization/denormalization, and data lifecycle management
- Cloud data platforms: Azure Data Services, AWS, or Google Cloud Platform
- Data Warehousing: Synapse, Snowflake, BigQuery, Redshift, etc.
- Proficient in Reporting Platforms to query large data sets
- Familiarity with data governance security, and compliance best practices
- Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders
Benefits
- Competitive Salary
- Unlimited PTO
- Best-in-class health/vision/dental benefits
- Generous 401K options
- Paid Parental Leave
- Opportunity to be a key player at a highly reputable, fast-growing consulting firm
- High degree of internal mobility and diverse project opportunities