Senior Data Engineer

Jobtailor; Burbank (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Paramount Digital Media in Hollywood/Burbank area seeks a Senior Data Engineer to build robust data pipelines and data products. You will translate complex data structures into scalable BI solutions and work with cross-functional teams to drive data-driven decisions.

Ideal candidates bring 4+ years in data engineering, strong Python skills, and experience with BigQuery and GCP, along with excellent communication and mentoring abilities.

Qualifications

• Bachelor's degree and 4+ years in Data Engineering or analytics.
• Experience with large-scale data warehouse management (BigQuery) and cost optimization.
• Proficient in Python.
• Experience with Airflow or equivalent orchestration tools.
• Data modeling for performant table structures.
• Able to write SQL to perform analytics and transformations.
• Strong problem-solving and creative-thinking skills.
• Ability to design and implement technical solutions, maintain documentation, and deliver training.
• Experience delivering data-driven solutions across teams.
• Excellent written and verbal communication, translating business requirements into data solutions.
• Experience with ETL & ELT.
• Experience building and deploying applications on GCP.

Responsibilities

• Build data pipelines, data structures and data products and communicate data structures and tools across the organization.
• Devise data and BI solutions using analytics, reverse engineering, and creative approaches.
• Support data pipeline development including ML algorithms from disparate data sources.
• Collaborate with BI, Research, Engineering, Marketing, Finance and Product teams to drive data-driven plans.
• Lead projects from inception to completion and mentor junior team members on data practices.

Skills

Data Pipelines

Analytics

Python

Airflow

Data Modeling

SQL

ETL/ELT

Problem Solving

Communication

Mentoring

Education

Bachelor's degree

Tools

BigQuery

Airflow

GCP

Job description

Responsibilities

• The Senior Data Engineer should possess a deep sense of curiosity and a passion for building data pipelines, data structures and data products and the ability to communicate data structures and tools throughout the Paramount Digital Media organization.
• The candidate for this role will use their skills in reverse engineering, analytics, and creative, experimental solutions to devise data and BI solutions.
• They will have experience supporting data pipeline development, which includes machine learning algorithms using disparate data sources.
• They will work closely with BI, Research, Engineering, Marketing, Finance, and Product teams to implement data-driven plans that drive the business.
• They will also be able to lead a project from inception to completion, as well as help mentor junior members of the team on standard processes and approaches around data.

Requirements

• Bachelor's degree and 4+ years of experience in Data Engineering and Analytics fields or consulting roles with a focus on digital analytics implementations.
• Experience with large scale data warehouse management systems such as BigQuery with advanced level understanding of warehouse cost management and query optimization.
• Proficient in Python.
• Experience with Airflow or equivalent tools for orchestration of pipelines.
• Experience with Data Modeling of performant table structures.
• Able to write SQL to perform common types of analysis and transformations.
• Strong problem-solving and creative-thinking skills.
• Ability to design and implement technical solutions, maintain accurate documentation, and deliver training to impacted teams as needed.
• Experience developing solutions to business requirements via hands-on discovery and exploration of data.
• Excellent written and verbal communication skills, including the ability to communicate technical concepts to non-technical audiences, as well as translating business requirements into Data Solutions.
• Strong experience with ETL & ELT.
• Experience building and deploying applications on GCP cloud platform.
• Influences and applies data standards, policies, and procedures.
• Builds strong commitment within the team to support the appropriate team priorities.
• Knowledge of new and evolving technologies via formal training and self-directed education.