Senior Data Engineer: Data Strategy & Pipelines Leader

Paramount; Los Angeles (CA); On-site; USD 110,400 - 165,600; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) plan

Life insurance

Disability benefits

Tuition assistance

Paid time off

Bonus eligibility

Job summary

Paramount is seeking a Senior Data Engineer to join their team in Los Angeles, California. This pivotal role involves developing robust data strategies and improving data pipeline quality. You'll collaborate with cross-functional teams, extract valuable insights from large datasets, and lead projects from inception to completion. Ideal candidates should have a STEM degree, proficiency in Python and SQL, and experience with cloud platforms. Competitive compensation with comprehensive benefits will be provided.

Qualifications

• 4+ years of experience in analytics or consulting roles focusing on digital analytics.
• Knowledge of relational and NoSQL data management systems.
• Experience with data ingestion, structure, storage approaches.

Responsibilities

• Develop pipelines that enhance raw data quality.
• Break down complex data problems and communicate solutions.
• Extract patterns from large datasets to transform data into actionable insights.
• Utilize tools to explore datasets and find answers to business questions.
• Lead projects from inception to completion, implementing data solutions.
• Mentor junior team members on best practices.

Skills

Python

SQL

Exploratory data analysis

Cloud platform deployment

Communication skills

Data modeling

NoSQL systems

Relational databases

Statistical analysis

Education

STEM undergraduate degree

STEM graduate degree

Tools

Jupyter

iPython Notebook

Pandas

Matplotlib

Google Cloud Platform

Apache Airflow

Job description

Paramount is seeking a Senior Data Engineer to join their team in Los Angeles, California. This pivotal role involves developing robust data strategies and improving data pipeline quality. You'll collaborate with cross-functional teams, extract valuable insights from large datasets, and lead projects from inception to completion. Ideal candidates should have a STEM degree, proficiency in Python and SQL, and experience with cloud platforms. Competitive compensation with comprehensive benefits will be provided.