Senior Data Engineer — Hybrid Cloud Pipelines

Tailored Brands, Inc.; Houston (TX); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401k with company match

Paid time off and holidays

Employee discounts

Job summary

Tailored Brands, Inc. is seeking a Sr Data Engineer to design and maintain data pipelines spanning Snowflake, BigQuery, Oracle, and SQL Server. You will optimize cloud-based data warehousing and ETL/ELT processes, automate large-scale data ingestion, and ensure reliability and scalability for analytics and reporting.

You will mentor junior engineers and partner with data scientists and stakeholders. Requires 8+ years in data engineering, strong Python/PySpark/SQL skills, and experience with

Qualifications

• Bachelor's or Master's in CS/AI or related field.
• 8+ years in data engineering with large datasets.
• Experience with cloud data warehouses and ETL/ELT.
• Experience with Snowflake, BigQuery, Oracle, SQL Server.
• Proficiency in Python, PySpark, SQL and scripting.
• Knowledge of GDPR/CCPA data governance and RBAC.

Responsibilities

• Design and support efficient data pipelines across systems.
• Scale cloud data warehousing and ETL/ELT capabilities.
• Automate data ingestion, transformation, and quality checks.
• Collaborate with data scientists and business partners to enable analytics.
• Mentor junior engineers and improve operations with SLAs and monitoring.

Skills

Strong communication

Problem solving

Team mentoring

Adaptability

Data-driven decision making

Education

Bachelor's or Master's in CS/AI engineering

Tools

Snowflake

BigQuery

Oracle

SQL Server

Salesforce

APIs

AWS S3

GCP buckets

Airflow

Kubernetes

Fivetran

HVR

Job description

Tailored Brands, Inc. is seeking a Sr Data Engineer to design and maintain data pipelines spanning Snowflake, BigQuery, Oracle, and SQL Server. You will optimize cloud-based data warehousing and ETL/ELT processes, automate large-scale data ingestion, and ensure reliability and scalability for analytics and reporting.

You will mentor junior engineers and partner with data scientists and stakeholders. Requires 8+ years in data engineering, strong Python/PySpark/SQL skills, and experience with