Senior Data Engineer

We're Hiring: Senior/Lead Data Engineer

Location

Experience

About the Role:

Data Engineers

Key Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines using tools like

  dbt, Fivetran, Airflow, and Apache NiFi

• Work extensively on

  Snowflake, Redshift

  , or similar cloud data warehouses
• Handle both

  structured and semi-structured data

  (e.g., JSON, XML, CSV, Parquet)
• Collaborate with cross-functional teams (Product, Engineering, BI) to define data needs and models
• Ensure high-quality, reliable, and timely data delivery
• Implement best practices in

  data governance, data quality

  , and

  security

Key Skills:

• Strong hands-on experience in

  SQL

  and

  Python

• Expertise in

  Snowflake

  ,

  Redshift

  , or

  ClickHouse

• Experience with modern ETL orchestration tools like

  Airflow

  or

  Apache NiFi

• Solid understanding of

  data modeling

  , performance tuning, and cloud architecture (AWS preferred)
• Experience with

  dbt

  and

  Fivetran

  is highly desirable

Preferred Background:

• 6–10 years of experience in data engineering
• Prior experience in a

  startup or product-focused environment

• Self-driven, flexible, and comfortable working in dynamic teams

If you're passionate about working on modern data systems that impact business at scale — we want to hear from you!

Apply now or refer someone great.