Staff, Data Platform Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

The Information Technology org at Rivian is seeking a Staff Data Platform Engineer to join the Data Engineering team, reporting to the Senior Data Engineering Manager, IT Services.

We are looking for data engineers with strong software engineering backgrounds, a platform engineering mindset and deep passion for data. You will be a part of Rivian Enterprise Data Platform team whose goal is to enable timely, effective and safe sharing of data to multiple engineering, operations and business teams at Rivian for building world class data products.

Responsibilities:

• You will choose the appropriate purpose built technology from a plethora of open source software and AWS offerings and be responsible for building massively scalable real-time as well as batch data ingestion and data processing pipelines to enable data analytics and data science use-cases in areas of digital commerce, service operations, charging, reliability, finance , capex, warranty, customer service and others.
• Build ingestion pipelines using Kafka, Kinesis, lambdas, API Gateway , AWS Glue, Change Data Capture tools etc.
• Build modular set of data services for data transformation and business logic processing using container microservices, Apache Spark on EMR, ETL technologies like AWS Glue, dbt, SQL and Python
• Build automated unit and integration testing pipelines using frameworks like PySpark
• Create and manage CICD pipelines with Gitlab CI and AWS Code Pipeline/CodeDeploy
• Automate and schedule jobs using Managed Airflow
• Building the ODS and reporting schema and load the data into AWS Redshift or Snowflake
• Design and build data quality management services with Apache Deequ and data observability tools like Splunk, DataDog , CloudWatch
• Provide a variety of query services with REST, Athena/Presto, server sent events
• Configure and setup the enterprise data lineage and meta data management and data catalog support using tools like Collibra/Alation
• Assist the data scientist within the data engineering team as well as other software engineering teams with data cleansing, wrangling and feature engineering
• As a Staff data engineer, you will perform code reviews with peers, mentor junior engineers and ensure green builds for deployment. You will also be working with the lead architects as well as engineering , product and program management to contribute to a healthy backlog of technical epics

Qualifications:

• At least 5+ years building data and analytics platforms using AWS Cloud , Python and SQL
• Knowledge of AWS technologies specifically MSK, Kinesis, EMR, Athena, Glue, lambdas, API Gateway is a must
• Knowledge of modern data tools like dbt (data build tool) and Airflow orchestration is highly desired
• Ability to assist SQL analysts and Tableau developers in business teams in creating the right set of materialized views in a SQL data warehouse like Redshift/Snowflake
• Knowledge of automation and CICD best practices
• Familiarity with machine learning and data science ecosystems especially AWS Sagemaker and Databricks is highly preferred