What You'll Be Doing:
Our Torq Insights practice is looking for superstars who will fill a key role in building a strong data ecosystem that supports the business intelligence and analytics environment for our clients. Your passion, knowledge and confidence will fuel a powerful experience that drives meaningful impact for our clients. Below are some of the key things you'll need to excel in:

• Build strong relationships with data consumers to understand consumption patterns and design intuitive data models.
• Develop and deliver high-quality data pipelines adhering to best practices, privacy, and governance principles.
• Write ETL (Extract / Transform / Load) processes and develops tools for real-time and offline analytic processing.
• Build real-time and batch data integrations from disparate source systems into the data lake/data warehouse.
• Recommend and deploy best in class key performance indicators to measure the performance and quality of the data engineering teams and processes.
• Participate in code reviews and provide feedback to development teams regarding best practices.
• Develop data definitions consistent with data management standards and conventions.
• Provide production support for integration and transformation pipelines.

What You'll Bring to the Table:

• Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, or related discipline
• Willingness to work a hybrid schedule , where the candidate will be required to work 2-3 days in the office each week.
• Experience with integrations and data warehousing using tools like Snowflake, DBT, and Airflow.
• Strong working knowledge of SQL and experience with relational and non-relational databases.
• Experience with general-purpose programming (e.g. Python, Java, R), dealing with a variety of data structures, algorithms, and serialization formats.
• 3 years' experience building ETL processes and familiarity with database architecture and design.
• 3 years of experience developing data extraction, transformation, and data analysis solutions.
• Strong business communication acumen.
• Proficient time management, organizational skills, and ability to meet established deadlines.

Bonus Skills (not required but a plus!)

• Experience with or in building Data Lakes, Data Warehouse in a hybrid environment (Cloud/On-Premises).
• Experience working with cloud technologies such as AWS (Lambdas, S3, step functions, SNS, SQS)
• Experience in Hadoop architecture, HDFS commands and experience designing & optimizing queries to build data pipelines

Benefits and Other Fun Stuff
We ask our consultants to be superstars, so we treat them like it. Even better, our perks are designed for employees by our employees. We do this because we believe in delivering a compelling benefits package that puts you at the heart of our rewards.

• Competitive Salary - your bank account will be smiling
• Unlimited PTO - we're serious about that work-life balance thing
• Best-in-class health/vision/dental benefits - your health is our priority
• Generous 401K options - take care of your future with us
• Opportunity to be a key player at a highly reputable, fast-growing consulting firm
• High degree of internal mobility and diverse project opportunities

Torq is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
The salary range for this position considers multiple factors influencing compensation decisions, such as skillset, previous experience, certifications, and various business & organizational requirements. Being hired at or near the top of the range for this role is uncommon, as compensation determinations rely on individual circumstances. Currently, the base salary range is estimated to be between $80,000 and $130,000.
*Note: No visa sponsorship is available for this position, all applicants must be currently authorized to work in the United States for any employer.