Full Time Job

Lead Data Engineer

Audacy

Vancouver, WA 05-10-2022
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  • Paid
  • Full Time
  • Mid (2-5 years) Experience
Job Description
Overview

The Audacy Data Engineering team is looking for the right person to join us. At Audacy, you'll contribute to our growing data warehouse engineering efforts, and manage a group of talented data engineers. You'll have a chance to focus in areas you're already skilled and take on new challenges over time.
Our distributed team has a fun and inclusive environment with a commitment to work life balance.

We are engineers and we understand what engineers need. We'll provide you with a work environment where collaboration is encouraged but you're not bombarded with superfluous interruptions. We have highly encouraged communication silent times on Thursdays so that everyone can focus without worrying they're missing anything. We work in modern agile feature teams that self-organize and work together to build great software. You'll have the opportunity to contribute to new ideas, learn new technologies, and architect new features. We have fun doing what we do, and you will too.

Audacy offers full time employees with a comprehensive benefits package to include: health care coordinator, medical, dental, vision, telemedicine, flexible spending accounts, health savings account, disability, life insurance, critical illness, hospital indemnity, accident insurance, paid time off (sick, vacation, personal, parental, volunteer), 401(k) retirement plan, discounted employee stock purchase, student loan payment assistance program, legal assistance, life assistance program, identity theft protection, discounted home and auto insurance, and pet insurance.

Responsibilities

Here is what you'll be doing:
• Designing and developing enterprise level applications using Snowflake and AWS tools.
• Taking ownership of our new data connection applications.
• Design, build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
• Partnering with product teams, data analysts and data scientists to help design and build data-forward solutions
• Build and maintain dimensional data warehouses in support of business intelligence and optimization product tools
• Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
• Contributing using your awesome verbal and written communication skills.
• Coach data engineering best practices and technical concepts of building large scale data platforms

Qualifications

Here is what we're looking for:
• You possess quality experience with Snowflake DB and data models of all kinds.
• You are a proven leader that understands people and believes that to lead you must serve.
• You are exceptionally skilled at building ETL's and pipelines using Python and other data services like Airflow and AWS Glue.
• You have a solid understanding of AWS features like S3 policies, IAM, ARN, and EC2.
• You understand the difference between a row based storage db like Postgress or MySQL and a columnar database like Snowflake, BigQuery, or Singlestore.
• You take ownership of the data under your prevue, and always consider privacy first.
• You work well with competing tasks, and if things change, you pivot quickly and execute smoothly.
• If you have experience in the radio broadcast, streaming, or ad tech industry, that's a plus.
• Degree in Computer Science or related field, or equivalent practical experience.
• 3+ years of enterprise or related experience, and 1+ year managing experience.
Other things we do that you could contribute to:
• Terraform, Spark, GDPR, Data Governance

Responsibilities:

Here is what you'll be doing:
- Designing and developing enterprise level applications using Snowflake and AWS tools.
- Taking ownership of our new data connection applications.
- Design, build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
- Partnering with product teams, data analysts and data scientists to help design and build data-forward solutions
- Build and maintain dimensional data warehouses in support of business intelligence and optimization product tools
- Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
- Contributing using your awesome verbal and written communication skills.
- Coach data engineering best practices and technical concepts of building large scale data platforms

Jobcode: Reference SBJ-g4653v-34-204-174-110-42 in your application.