Software Engineer

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

We are seeking a data engineer for building out the cloud native data platform for Schwab asset management (SAM). This role is ideal for a professional with progressive experience in cloud native data engineering who is ready to take on more responsibility and operate with minimal supervision. You will be integral to enabling and enhancing our data assets, data pipelines and supporting a data platform on Snowflake and Google Cloud. This is an exciting opportunity to work in a dynamic, data-driven environment, contributing to the ongoing development and optimization of our data platform.

What you have

To ensure that we have fulfilled our promise of "challenging the status quo," this role has specific qualifications that successful candidates should have.

Required Qualifications

•    Bachelor’s degree in computer science, Information Technology, or a related field, or equivalent practical experience.
•    2+ years of experience as a cloud data platform engineer in a data analytics ecosystem, with demonstrated progression in responsibilities and              technical skills.
•    Hands-on experience with Snowflake and Google Cloud Platform (GCP) services such as Cloud Storage, Cloud Run, Cloud Functions, PubSub,                Composer, and Cloud SQL.  Working experience with Schwab systems and processes.
•    Proficient in Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager, with a solid understanding of cloud                    resource automation.

•    3-5 years of working experience and sound knowledge in building cloud-based data platform leveraging cloud (GCP/AWS) cloud native architecture,        ETL/ELT and data integration 
•    3-5 years of development experience with cloud services (AWS, GCP, AZURE) utilizing various support tools (e.g. GCS, Dataproc, Cloud Data flow,          Airflow (Composer), Cloud Pub/Sub)
•    3-5 years of experience and sound knowledge in developing reliable data pipelines leveraging cloud data warehouses (Snowflake, Big Query) and          distributed data processing frameworks (Apache Spark, Apache Beam, Apache Flink)
•    In-depth knowledge of NoSQL database technologies (e.g. MongoDB, BigTable, DynamoDB)
•    Expertise in build and deployment tools - (Visual Studio, PyCharm, Git/Bitbucket/Bamboo, Maven, Jenkins, Nexus)
•    Experience in database design techniques and philosophies (e.g. RDBMS, Document, Star Schema, Kimball Model)
•    Experience leveraging continuous integration/development tools (e.g. Bamboo, Docker, Containers, GitHub, GitHub Actions) in a CI/CD pipeline
•    Advanced understanding of software development and research tools
•    Attention to detail and results oriented, with a strong customer focus
•    Ability to work as part of a team and independently
•    Analytical and problem-solving skills
•    Problem-solving and technical communication skills
•    Ability to prioritize workload to meet tight deadlines

Preferred Qualifications

•    Strong experience in secure data management practices including technical data governance and data quality management of the pipelines.
•    Deep understanding of data architectures and engineering patterns of data pipelines and reporting environments.
•    Analytical and troubleshooting skills to identify and resolve data and platform issues effectively.
•    Ability to work collaboratively within a team environment, supporting cross-functional initiatives and contributing to shared goals.
•    Strong documentation skills and the ability to communicate technical concepts clearly and effectively to both technical and non-technical                        stakeholders.

In addition to the salary range, this role is also eligible for bonus or incentive opportunities