Business Data Engineer

Beatport•Seattle, WA

1d•$110,000 - $125,000•Remote

About The Position

For over 20 years, Beatport has been the global leader in DJ and club culture, pushing the boundaries of dance music to all corners of the world. Created by DJs for DJs, Beatport has always been dedicated to innovating new products and services to support evolving generations of music performers and producers. The Beatport Group includes some of the best-known brands in DJ culture, including Beatport, Beatsource, DJcity, Plugin Boutique, Beatport Streaming, Ampsuite, LabelRadar, Beatport.io & The International Music Summit (IMS). We are consistently looking for bright, creative professionals with diverse perspectives and backgrounds. Where you come in: We are looking to hire a talented Business Data Engineer. This role requires an experienced background in designing, developing and documenting data ecosystems that are highly scalable, robust, efficient and performant while solving primary business problems and offering excellent user experiences. Our business is engaged in the entire stack of software technologies from data storage and reporting, to middle layer APIs and hardware embedded SDK’s, to reactive single-page web and mobile applications that stream music with fluid interfaces. The backend data engineer’s role is to build & manage APIs as well as our data warehouses, models and repositories so that they reliably answer questions needed for our business and software operations. The Role This is a high impact role in a growing company. You’ll work on the data engineering team to build, maintain and execute our financial and usage reporting, data collection and analysis. You’ll work alongside our head of royalties and finance teams to understand and translate their vision into working models, and work on databases, data pipelines and products to assist the teams in accomplishing their objectives. This role requires eligibility to work in the United States or Canada without need for visa sponsorship. The right Business Data Engineer can be fully remote from anywhere in the Pacific Northwest area of North America & Canada.

Requirements

3+ years of programming SQL-based data access against RDBMS database systems such as MS SQL Server, MySQL, Postgres or Oracle
Experience working with data warehouses and data warehousing concepts such as data marts, data lakes, cloud warehouse infrastructure, ELT, federation, partitioning, etc.
3+ years of experience with business intelligence solutions such as Snowflake, Pentaho, Looker, etc.
3+ years application development experience in either Python or C#
1+ years of experience with cloud data products, pipelines & solutions such as BigQuery, Firehose/Glue/Kineses, BigTable/Spanner, Composer / Airflow, Cloud Run, etc..
Knowledge and experience of basic database maintenance and administration techniques such as query plan analysis, index tuning, bulk operations, transaction isolation levels, deadlock tracing, replication, etc.
Positive attitude, reliable, self-motivated, team player with excellent communication skills and a solution-seeking mindset
Comfortable working as part of a distributed team

Nice To Haves

Knowledge of Django, n/j/Hibernate, Entity Framework or other ORM’s, and any other RDBMS or NoSQL databases would be a plus
Experience with music streaming, audio technologies, AI/ML on GCP, or previous roles in the music or financial industries are all great bonuses to bring to the role.

Responsibilities

Developing software on a daily basis through the backend of our stack
Building integrations and data sources for financial reporting and analytics tools
Writing SQL, building and automating ETL and transaction jobs, auditing data cohesion and investigating discrepancies
Working with data scientists to build and support datasets for specialized applications
Planning and designing RDBMS and data warehouses, data models, repositories and pipelines with best practices for performance and scalability
Create and maintain documentation for APIs, data pipelines, data models and data dictionaries