About the RoleWe are looking for a hands-on engineering manager to lead technical and product strategy and execution for People Innovation Labs' OpenHouse pod. OpenHouse is our flagship employee-facing product, serving as a culture and communication hub and an organization-wide front door into all other aspects of People Innovation Labs' work. The OpenHouse pod is composed of full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with People Innovation Labs leadership to build and grow the team and OpenHouse product, innovating on how we apply LLMs along the way.
We're seeking a Data Engineer to build data-intensive systems that will power People Innovation Labs' internal products and enable the People Analytics function to do their best work. These data pipelines are crucial for our build-out of people products backed by business systems of record and for ongoing people data analytics.
One example of an employee-facing product you'll help us build is OpenHouse, which serves as a culture and communication hub and an organization-wide front door into all other aspects of People Innovation Labs' work. OpenHouse and other products in our portfolio are built by full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with People Innovation Labs leadership and software engineers and the People Analytics team to build the data systems that enable this work.
In this role, you will:- Design, build and manage people data pipelines, ensuring all data is seamlessly integrated into our Databricks warehouse.
- Develop canonical datasets to track key people metrics and People Innovation Labs product metrics.
- Work collaboratively with various teams, including, Data Platform, Data Science, People Analytics, and Compensation and Equity to understand their data needs and provide solutions.
- Implement robust and fault-tolerant systems for data ingestion and processing.
- Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear as the primary data engineering expert on the team.
- Ensure the security, integrity, and compliance of data according to industry and company standards.
Your background might look something like:- Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering).
- Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
- Experience with data warehousing technologies such as Databricks and Snowflake, and expertise with ETL schedulers such as Fivetran, Airflow, Dagster, Prefect, or similar.
- Experience with distributed processing technologies and frameworks, such as Spark, Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
