Senior Data Engineer

8am

Posted 20d ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Lead design discussions around data architecture, modeling strategy, and platform evolution
Identify opportunities to simplify and scale the data platform
Drive improvements to data reliability, observability, and data quality
Establish and promote best practices for data modeling, testing, and code review
Help the team prioritize work and balance speed with technical quality
Develop and optimize ETL processes
Integrate data sources across a broad product portfolio to provide stakeholders access to key information they need to excel at their job
Mentor other data engineers
Challenge how business use cases fit together and fit into our product
Determine and proactively communicate future impacts of proposed or ongoing work
Help the team mitigate any issues that arise in their product and its ecosystem
Model data and metadata to support ad-hoc and pre-built reporting facilitating data access for our BI tools and analytical reporting
Provide technical guidance to help Data Engineering evolve access to data platform
Work with engineering to integrate tracking of new functionality into the data ecosystem
Optimize the performance of business-critical queries
Explain why the projects their team is working on have been prioritized over other projects

7+ years of data engineering experience
Experience with data warehouses and large-scale analytics systems (Redshift, Snowflake, BigQuery, etc.)
Strong experience designing and building data pipelines and data platforms
Cloud infrastructure experience (AWS preferred)
Experience building and maintaining relational as well as document, key-value, and other noSQL databases
Advanced Python & SQL skills
Experience working with third-party APIs for data integration
Experience with business process automation
Bachelor's degree or higher in a technical field (or similar combination of education and experience)
Spark and Redshift experience (PySpark preferred)

Experience with workflow orchestration tools (Airflow, Prefect, Dagster, etc.)
Experience with Infrastructure as Code (Terraform / CloudFormation)
Experience with event or streaming systems (Kafka or similar)
CI/CD experience
Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation

Skills