**Your Opportunity**

**We believe that** , when done right, investing liberates people to create their own destiny. **We are driven** by our purpose to champion every client’s goals with passion and integrity. **We respect** and appreciate the diversity of our employees, our clients, and the communities we serve. **We challenge** conventions strategically to create value for our clients, our firm and the world. We live and bring to life the concept of ‘own your tomorrow’ every day. **We champion** our employee strengths, guide their development, and invest in their long-term success. **We hire** optimistic, results-oriented, curious, innovative, and adaptable people with the desire to help our clients and one another succeed.

As a company, we were established by Chuck ([ Link removed ] – Click here to apply to Data Engineer Lead (Remote) over 40 years ago to champion Main Street over Wall Street, and to help Americans transform themselves from earners to owners. Through advocacy and innovation, we work to make investing more affordable, accessible and understandable for all. As we enter our fifth decade, we are looking for talented, innovative and driven people who believe they can help themselves, and our clients, create a better future.

WAM Data architecture & platform engineering team supports build out of core data platform (WAM-Ex) capabilities – cloud native data data platform (Big Query/Snowflake) and core data capabilities – orchestration, data security and data quality to be shared across Wealth and asset management. Define and build best practices and standards for federated development on WAM-Ex data platform, design consistent and connected logical and physical data models across data domains and design consistent data engineering lifecycle for building data assets across initiatives on WAM-Ex.

**What you are good at**

+ Bachelor’s degree in computer science, information systems, math, engineering, or other technical field, or equivalent experience

+ Six years of experience with Python or Java

+ Four or more years of experience in building data lake, cloud data platform leveraging **cloud (GCP/AWS) cloud native architecture, ETL/ELT, and data integration**

+ Three years of development experience with cloud services ( **AWS,GCP** ,AZURE) utilizing various support tools (e.g. **GCS, Dataproc, Cloud Data flow, Airflow(Composer), Kafka , Cloud Pub/Sub** )

+ Expertise in developing distributed data processing and Streaming frameworks and architectures ( **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, )

+ Five years of experience and expertise in **database design techniques and philosophies** (e.g. RDBMS, Document, Star Schema, Kimball Model)

+ Five years of experience **with integration and service frameworks** (e.g API Gateways, Apache Camel, Swagger API, Zookeeper, Kafka, messaging tools, microservices)

+ Expertise with **containerized Microservices** and REST/GraphQL based API development

+ Experience leveraging continuous integration/development tools (e.g. **Jenkins, Docker, Containers** , OpenShift, Kubernetes, and container automation) 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**

**What you have**

+ Work collaboratively with other engineers, architects, data scientists, analytics teams, and business product owners in an agile environment

+ Architect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools

+ Design and build robust, reusable, and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data

+ Build data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications

+ Assist in selection and integration of data related tools, frameworks, and applications required to expand platform capabilities

+ Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage

**Why work for us?**

Own Your Tomorrow embodies everything we do! We are committed to helping our employees ignite their potential and achieve their dreams. Our employees get to play a central role in reinventing a multi-trillion-dollar industry, creating a better, more modern way to build and manage wealth.

Benefits: A competitive and flexible package designed to empower you for today and tomorrow. We offer a competitive and flexible package designed to help you make the most of your life at work and at home-today and in the future. Explore further ([ Link removed ] – Click here to apply to Data Engineer Lead (Remote) .

Schwab is committed to building a diverse and inclusive workplace where everyone feels valued. As an Equal Opportunity Employer, our policy is to provide equal employment opportunities to all employees and applicants without regard to any status that is protected by law. Please click here ([ Link removed ] – Click here to apply to Data Engineer Lead (Remote) to see the policy.

Schwab is an affirmative action employer, focused on advancing women, racial and ethnic minorities, veterans, and individuals with disabilities in the workplace. If you have a disability and require reasonable accommodations in the application process, contact Human Resources at [ Email address blocked ] – Click here to apply to Data Engineer Lead (Remote) or call

(tel:

) .

TD Ameritrade, a subsidiary of Charles Schwab, is an Equal Opportunity Employer. At TD Ameritrade we believe People Matter. We value diversity and believe that it goes beyond all protected classes, thoughts, ideas, and perspectives.

CO Salary Range: USD $101,000 – $224,400 / Year

Why work for us?

Own Your Tomorrow embodies everything we do! We are committed to helping our employees ignite their potential and achieve their dreams. Our employees get to play a central role in reinventing a multi-trillion-dollar industry, creating a better, more modern way to build and manage wealth.

Benefits: A competitive and flexible package designed to empower you for today and tomorrow. We offer a competitive and flexible package designed to help you make the most of your life at work and at home-today and in the future. Explore further ([ Link removed ] – Click here to apply to Data Engineer Lead (Remote) />
Schwab is committed to building a diverse and inclusive workplace where everyone feels valued. As an Equal Opportunity Employer, our policy is to provide equal employment opportunities to all employees and applicants without regard to any status that is protected by law. Please click here ([ Link removed ] – Click here to apply to Data Engineer Lead (Remote) to see the policy.

Schwab is an affirmative action employer, focused on advancing women, racial and ethnic minorities, veterans, and individuals with disabilities in the workplace. If you have a disability and require reasonable accommodations in the application process, contact Human Resources at [ Email address blocked ] – Click here to apply to Data Engineer Lead (Remote) or call

.

TD Ameritrade, a subsidiary of Charles Schwab, is an Equal Opportunity Employer. At TD Ameritrade we believe People Matter. We value diversity and believe that it goes beyond all protected classes, thoughts, ideas, and perspectives.