Data Engineer
Our client is the first and largest peer-to-peer marketplace driven to change how the world views laundry. Their customers tap the app and outsource their laundry. For them, it’s life without laundry, because it was hacked out of existence. They solve a second problem too, which is that more and more people of varying backgrounds want to work from home. Luckily most people have an underutilized washer/dryer, which when combined with their Laundry Pro app, provides the first-ever manual labor work-from-home gig in the world.
Perfect product market fit drove a 100x surge in users & revenue and double-digit MoM growth over the past few years. In 2021 they scaled to 500+ markets throughout the United States. In March 2022 they closed a $10m seed round which included VC investments from Headline, Origin Ventures, Starting Line VC, Ludlow Ventures, and Clean Ventures, as well as notable angel investments from some of Silicon Valley’s most successful founders. Rocket growth continued in 2022 and 2023.
The Role
The Senior Data Engineer has the following responsibilities and duties:
- Be a member of the technical staff building solutions for the business.
- Design, implementation, testing, debugging, performance tuning, documentation, validation, and support of analytical solutions
- Translate business requirements into analytical solutions.
- Analyze, model and wrangle data and files to prep for utilization.
- Build data pipelines to move data into S3 and Redshift
Requirements
- Excellent DBT and Python skills
- Experience with distributed computing languages (Spark, PySpark, Scala, SparklyR, etc)
- Experience with Big Query, Redshift, Snowflake, Airflow, Fivetran, Airbyte
- ETL/ELT hands-on experience with familiarity of Data Warehouse concepts
- Expertise in designing efficient Data Models
- Knowledge of AWS services like EC2, EMR, Lambda, Glue, Athena, Kinesis Data Streams, Kinesis Firehose, etc.
- Knowledge of API-based integration and security (Restful and SOAP)
- Knowledge of IAM roles, Policies, etc.
- Experience in Data Visualization tools such as Tableau, Power BI etc.
- Ability to learn fast and translate data into actionable results.
- Excellent written and communication skills.
Preferred:
- Experience developing and supporting scalable data pipelines
- Experience with Snowflake
- Experience building cloud formation templates for workloads
- Familiar with EKS and ECS AWS services
- Experience building Data Platforms, Data lakes and Business Intelligence solutions.
Education
- Bachelors in computer science, engineering, information technology or other related disciplines.