Data Engineer

Created in 2002 by Marc Eckō, Complex is a leading global youth entertainment network showcasing the evolution of major pop culture categories.
$110,000 - $120,000
Data
Mid-Level Software Engineer
In-Person
3+ years of experience
Media · E-Commerce

Description For Data Engineer

Complex, founded in 2002 by Marc Eckō, is a leading global youth entertainment network at the intersection of pop culture, streetwear, and digital media. As a Data Engineer at Complex, you'll be instrumental in building scalable data solutions that power analytics and machine learning capabilities. The role offers an opportunity to work with cutting-edge technologies including AWS, Python, and various big data frameworks.

The position requires strong expertise in SQL and Python, with at least 3 years of experience in building and maintaining data pipelines. You'll be working with modern data stack including OLAP databases like Snowflake or Databricks, and orchestration tools like Apache Airflow. The role combines technical expertise with business acumen, as you'll be collaborating with various stakeholders to translate business requirements into technical solutions.

Complex offers a dynamic work environment where employees are empowered to contribute to the company's direction. The company has established itself as a cultural commerce platform, seamlessly integrating discovery, inspiration, community, and shopping. With initiatives like ComplexCon, the company creates immersive experiences that bring together influential brands and artists.

The compensation package is competitive, ranging from $110,000 to $120,000, complemented by comprehensive benefits including health insurance, 401k with matching, and various FSA options. This is an excellent opportunity for a data professional looking to make an impact in a company that operates at the intersection of technology, commerce, and culture.

Last updated 3 months ago

Responsibilities For Data Engineer

  • Design and implement scalable data pipelines using SQL and Python while maintaining efficient data models
  • Develop comprehensive monitoring, testing, and alerting systems to ensure data quality
  • Deploy and manage data applications using AWS cloud technologies (S3, EC2, Lambda)
  • Support machine learning initiatives through feature engineering and data model optimization
  • Build tools and processes to improve team efficiency
  • Create and maintain technical documentation while collaborating with analysts and stakeholders
  • Work on analytics platform enhancement and cloud infrastructure management
  • Participate in cross-functional collaboration initiatives

Requirements For Data Engineer

Python
Kubernetes
  • 3+ years of programming experience with SQL for data exploration and relational modeling
  • Proficient in Python with 3+ years of experience building and maintaining data pipelines
  • Well-versed in OLAP databases (Snowflake or Databricks)
  • Knowledgeable in AWS services (S3, EC2, Lambda)
  • Experienced with Apache Airflow or similar orchestration tools (Dagster, Prefect)
  • Understanding of big data frameworks like Apache Spark
  • Strong analytical and critical thinking skills
  • Experience with data experimentation and statistical analysis

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Commuter Benefits
Parental Leave
  • Best in class health, dental, and vision insurance
  • Healthcare FSA
  • Dependent Care FSA
  • Commuter Benefits FSA
  • Short-term/long-term disability and life insurance
  • Paid Parental leave
  • 401k with 4% match
  • Pet Insurance
  • Legal and Identity Theft Plans
  • Vacation time and sick days

Interested in this job?

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