706 day(s) ago

Data Engineer vacancy at Megaphone

Negotiable salary

Remote worker location: United States
English: Advanced, Upper Intermediate, Native Speaker
Experience: 3+ years
Employment: Full-time


United States, Brooklyn
We build technology that allows publishers to achieve the most from their work, and advertisers to connect with passionate audiences.

General overview of the role

Megaphone is looking for a Data Engineer to help develop and own data solutions at our fast-paced podcast technology and ad services company. The Data Engineer role is an excellent opportunity for someone who wants to join a close-knit and smart team at a rapidly growing business. If you are a highly independent worker and have excellent organizational and problem-solving skills, this is the job for you. Working at Megaphone also means full benefits, competitive salary, and a friendly work environment. This role is open to fully remote candidates, as well as candidates near our Reston, VA office. This role will report to the VP of Engineering.


Develop and maintain ETL/ELT processes at scale, handling hundreds of millions of records per day
Write advanced SQL for data wrangling, as well as scheduled reporting and automated queries
Perform data exploration and analytics with the goal of developing new insights and business value
Help develop APIs and dashboards to surface data insights
Maintain awareness and knowledge of industry best practices to ensure Megaphone is able to take advantage of new tools and techniques


3+ years of experience
Hands-on implementation and maintenance of a large-scale, high-volume data pipeline
Knowledge of programming language(s) for data processing, such as Python, Scala, R, and libraries and tools, such as Dataflow
Experience with Ruby and/or Go is preferred
In-depth knowledge of relational databases (e.g. PostgreSQL, MySQL) and NoSQL databases (e.g. Druid, Cassandra), as well as analytics using BigQuery
Familiarity with containers and related technologies, such as Docker and Kubernetes, and working with public cloud (e.g. AWS or Google Cloud Platform)
Knowledge of machine learning and time-series forecasting methodologies
Analytical mind with problem-solving aptitude
Ability to work independently

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