***Must be located in the SF Bay Area or your application will not be considered***
Our client is a venture-backed SaaS startup that recently secured Series A funding.
They're solving a multi-billion dollar problem of data quality for the entire marketing industry.
Their platform enables major brands and publishers to optimize consumer data quality, improving marketing ROI.
In a fast-paced and collaborative environment, they are committed to excellence and innovation.
Key Responsibilities: Design and maintain scalable data pipelines using Spark and AWS EMR for processing terabytes of consumer data Write, test, and optimize custom Scala code for ETL workflows Deploy and manage ETL processes in AWS cloud environments using Airflow Automate delivery of structured data to enterprise clients via Snowflake and Databricks Collaborate with the Data Science team to optimize data infrastructure Contribute to data modeling efforts using SQL for efficient large-scale data management Create monitoring tools and KPIs using Tableau to ensure data pipeline health Maintain comprehensive documentation for internal teams and external clients Tech Stack: AWS (EMR, EC2, S3, Athena, Sagemaker), Spark, DBT, Snowflake, Databricks, Airflow, Terraform, Github, Tableau
Programming Languages: Scala, Python, SQL, and Bash
Requirements 5-7 years of relevant work experience (3-5 years considered) Strong SQL and Scala skills Experience with cloud computing tools (e.g., Spark, AWS EMR, Snowflake, Databricks) Proficiency in data modeling and distributed data processing Excellent communication skills, including explaining complex concepts to non-technical stakeholders An ideal candidate will: Thrives in a fast-paced startup, embracing high-impact responsibilities with minimal oversight Strong communicator, adept at explaining complex data concepts to diverse stakeholders Passionate about solving data quality challenges in marketing, with relevant industry experience Committed to long-term growth, excited by potential for ownership and future team leadership Benefits Compensation: Salary range: $160,000 - $180,000 Stock options package Full health benefits and 401k Work Environment: Hybrid model: 3 days in office, 2 days remote, on average Small, high-impact team with plans for growth Report directly to the Head of Data Science