Torq
Are you driven by the challenge of turning complex data into actionable insights? Do you thrive on building scalable data systems that power better decisions and real business impact? If you're ready to lead with purpose and bring data to life, Torq is the place for you.
We are looking for data engineers and technical leaders who don't just build pipelines and create dashboards—they design systems that solve real business challenges and influence key strategic decisions for our clients.
At Torq, you'll join a collaborative team that takes on complex, high-impact projects. You'll guide clients through the full data lifecycle—from raw ingestion to advanced analytics—and help them unlock the full potential of their data ecosystem.
What You Could Be Doing
Build strong relationships with data consumers to understand usage patterns and design intuitive, scalable data models.
Design, develop, and deliver high-quality data pipelines that align with privacy, governance, and performance best practices.
Build both real-time and batch data integrations from a variety of source systems into cloud-based data lakes and warehouses.
Develop and maintain ETL/ELT processes and tools to support both streaming and offline analytics.
Define and implement key performance indicators (KPIs) to measure the efficiency, quality, and reliability of data engineering processes.
Participate in code reviews, promoting clean, maintainable, and well-documented code aligned with engineering best practices.
Create and maintain data definitions and metadata consistent with data management standards.
Provide operational support for data integration and transformation workflows in production environments.
What You Bring to the Table
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 (both conceptual and physical) or other related technical & analytical work
Willingness to work a hybrid schedule (2-3 days per-week onsite)
Data acquisition & sourcing: APIs, flat files, event streams
Solid experience with ETL/ELT pipeline development, scripting automation, including performance optimization & data quality assurance
Tools like: Python, SQL, Apache Airflow, dbt, Kafka, Terraform, etc.
Strong understanding of data architecture, schema design, normalization/denormalization, and data lifecycle management
Cloud data platforms: Azure Data Services (preferred), AWS, or Google Cloud Platform
Data Warehousing: Synapse, Snowflake, BigQuery, Redshift, etc.
Proficient in Reporting Platforms to query large data sets
Ex: PowerBI, Tableau, Looker, or similar tools
Familiarity with data governance security, and compliance best practices (Collibra, Unity Catalog, Purview)
Proficient in SQL and experienced in designing efficient queries for large-scale data sets
Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders
Additional Skills We Value
Experience with CI/CD pipelines for data solutions using tools like GitHub Actions, Azure DevOps, or Jenkins
Exposure to Power BI or other BI tools for data visualization and reporting
Experience with Delta Lake, Data Mesh, or Lakehouse architectures
Familiarity with Databricks on Azure
Benefits & Other Fun Stuff
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
Paid Parental Leave – supporting you during life's biggest milestones
Opportunity to be a key player at a highly reputable, fast‑growing consulting firm
High degree of internal mobility and diverse project opportunities
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 $100,000 and $140,000.
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.
Note: No visa sponsorship is available for this position. All applicants must be currently authorized to work in the United States for any employer.
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We are looking for data engineers and technical leaders who don't just build pipelines and create dashboards—they design systems that solve real business challenges and influence key strategic decisions for our clients.
At Torq, you'll join a collaborative team that takes on complex, high-impact projects. You'll guide clients through the full data lifecycle—from raw ingestion to advanced analytics—and help them unlock the full potential of their data ecosystem.
What You Could Be Doing
Build strong relationships with data consumers to understand usage patterns and design intuitive, scalable data models.
Design, develop, and deliver high-quality data pipelines that align with privacy, governance, and performance best practices.
Build both real-time and batch data integrations from a variety of source systems into cloud-based data lakes and warehouses.
Develop and maintain ETL/ELT processes and tools to support both streaming and offline analytics.
Define and implement key performance indicators (KPIs) to measure the efficiency, quality, and reliability of data engineering processes.
Participate in code reviews, promoting clean, maintainable, and well-documented code aligned with engineering best practices.
Create and maintain data definitions and metadata consistent with data management standards.
Provide operational support for data integration and transformation workflows in production environments.
What You Bring to the Table
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 (both conceptual and physical) or other related technical & analytical work
Willingness to work a hybrid schedule (2-3 days per-week onsite)
Data acquisition & sourcing: APIs, flat files, event streams
Solid experience with ETL/ELT pipeline development, scripting automation, including performance optimization & data quality assurance
Tools like: Python, SQL, Apache Airflow, dbt, Kafka, Terraform, etc.
Strong understanding of data architecture, schema design, normalization/denormalization, and data lifecycle management
Cloud data platforms: Azure Data Services (preferred), AWS, or Google Cloud Platform
Data Warehousing: Synapse, Snowflake, BigQuery, Redshift, etc.
Proficient in Reporting Platforms to query large data sets
Ex: PowerBI, Tableau, Looker, or similar tools
Familiarity with data governance security, and compliance best practices (Collibra, Unity Catalog, Purview)
Proficient in SQL and experienced in designing efficient queries for large-scale data sets
Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders
Additional Skills We Value
Experience with CI/CD pipelines for data solutions using tools like GitHub Actions, Azure DevOps, or Jenkins
Exposure to Power BI or other BI tools for data visualization and reporting
Experience with Delta Lake, Data Mesh, or Lakehouse architectures
Familiarity with Databricks on Azure
Benefits & Other Fun Stuff
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
Paid Parental Leave – supporting you during life's biggest milestones
Opportunity to be a key player at a highly reputable, fast‑growing consulting firm
High degree of internal mobility and diverse project opportunities
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 $100,000 and $140,000.
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.
Note: No visa sponsorship is available for this position. All applicants must be currently authorized to work in the United States for any employer.
#J-18808-Ljbffr