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Comfrt is one of the fastest-growing direct-to-consumer brands, dedicated to blending mental wellness, inclusivity, and elevated comfort into every piece we create. Our mission goes beyond clothing — we strive to build a community where everyone feels supported and seen.
Senior Data Engineer
Location
United States
Posted
110 days ago
Salary
$160K - $180K / year
Seniority
Senior
Job Description
Senior Data Engineer
Comfrt
Role Description We are seeking a highly skilled and experienced Senior Data Engineer to join our growing data team. The ideal candidate will be responsible for designing, developing, and optimizing our data pipeline architecture to support our analytics, machine learning, and business intelligence initiatives. This role requires a strong background in big data technologies, cloud infrastructure, and a passion for building robust, scalable, and efficient data solutions. Responsibilities - Data Architecture and Development: - Design, construct, install, test, and maintain highly scalable data management systems and processing pipelines using cloud-native services (e.g., AWS, GCP, Azure). - Develop and optimize ETL/ELT processes to ingest, transform, and load data from various internal and external sources into our data warehouse/data lake. - Implement data governance, security, and quality controls across all data pipelines. - Ensure data architecture supports the needs of data scientists, analysts, and other business stakeholders. - Optimization and Performance: - Monitor, tune, and optimize data warehouse performance (e.g., Snowflake, BigQuery, Redshift). - Troubleshoot and resolve complex data-related issues and performance bottlenecks in the data platform. - Drive continuous improvement in data platform reliability, efficiency, and cost management. - Collaboration and Mentorship: - Collaborate closely with data scientists, software engineers, and product managers to understand data requirements and deliver solutions. - Define and enforce best practices for data engineering, including coding standards, documentation, and operational procedures. - Mentor and guide junior data engineers, fostering a culture of technical excellence and continuous learning. Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field. - 5+ years of professional experience in data engineering, software engineering, or a related role focused on data infrastructure. - Proven experience designing and building production-grade, highly reliable, and scalable data pipelines. - Expert proficiency in SQL and at least one high-level programming language (e.g., Python, Scala, Java). - Deep expertise with major cloud platforms (AWS, GCP, or Azure), specifically their data and storage services (e.g., S3, Google Cloud Storage, Azure Data Lake Storage). - Solid experience with modern data warehousing solutions (e.g., Snowflake, Google BigQuery, Amazon Redshift). - Experience with workflow orchestration tools (e.g., Apache Airflow, Dagster). - Familiarity with distributed data processing frameworks (e.g., Apache Spark, Dask). - Experience with version control systems (e.g., Git). - Experience with AI tools (Claude, Vertex AI, Gemini). Preferred Qualifications - Experience with stream processing technologies (e.g., Apache Kafka, Kinesis, Pub/Sub). - Exposure to GenAI Integration with development process. - Knowledge of data modeling techniques (e.g., 3NF, Dimensional Modeling). - Familiarity with machine learning pipelines (MLOps). - Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). - Experience/Familiarity with D2C/E-Commerce Domain. Key Competencies - Problem-Solving: Exceptional analytical and problem-solving skills with a high degree of attention to detail. - Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences. - Ownership: A proactive mindset and a strong sense of ownership over the data platform and its integrity. Benefits - Generous paid time off. - Company-covered health insurance. - 5% 401k match. - Discounts on all Comfrt products.
Job Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- 5+ years of professional experience in data engineering, software engineering, or a related role focused on data infrastructure.
- Proven experience designing and building production-grade, highly reliable, and scalable data pipelines.
- Expert proficiency in SQL and at least one high-level programming language (e.g., Python, Scala, Java).
- Deep expertise with major cloud platforms (AWS, GCP, or Azure), specifically their data and storage services (e.g., S3, Google Cloud Storage, Azure Data Lake Storage).
- Solid experience with modern data warehousing solutions (e.g., Snowflake, Google BigQuery, Amazon Redshift).
- Experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).
- Familiarity with distributed data processing frameworks (e.g., Apache Spark, Dask).
- Experience with version control systems (e.g., Git).
- Experience with AI tools (Claude, Vertex AI, Gemini).
- Preferred Qualifications
- Experience with stream processing technologies (e.g., Apache Kafka, Kinesis, Pub/Sub).
- Exposure to GenAI Integration with development process.
- Knowledge of data modeling techniques (e.g., 3NF, Dimensional Modeling).
- Familiarity with machine learning pipelines (MLOps).
- Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
- Experience/Familiarity with D2C/E-Commerce Domain.
- Key Competencies
- Problem-Solving: Exceptional analytical and problem-solving skills with a high degree of attention to detail.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences.
- Ownership: A proactive mindset and a strong sense of ownership over the data platform and its integrity.
Benefits
- Generous paid time off.
- Company-covered health insurance.
- 5% 401k match.
- Discounts on all Comfrt products.
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If you receive an unsolicited job offer claiming to be from Storable or any of its representatives, it’s a red flag. - Verification: If you’re uncertain about the legitimacy of any job offer or communication claiming to be from Storable, please contact our HR department directly at POps@storable.com for verification. Your security and trust are paramount to us. If you suspect you’ve been contacted by someone falsely claiming to be from Storable or using our company's name for any dubious purpose, please immediately report the incident to POps@storable.com Pay Transparency at Storable At Storable, we believe in the power of transparency to help our employees Do More and Win More. We value our employees and want to ensure equity and fairness in compensation, which is why we make sure to include the salary range or hourly rate in each job posting.The range listed below is reflective of the base salary market potential for the role over time. The compensation we will offer for this role is within this range and is based on our internal budget along with your skills and experience level. Please talk to your recruiter about the variable pay plan and earning potential for this role. Potential Pay Range $145,000 — $180,000 USD



