Looking to make a real difference?
You belong right here.
Come build a rewarding career helping others achieve their financial dream at an organization that values your own long-term success. With your unique talents, you have what it takes to be bold and brilliant in everything you do and reach new heights for a company dedicated to diversity and inclusion, community and you.
If you share that belief, this is where you belong.
Join our team of nearly 8,800 associates across 40 different locations worldwide and start your future today.
Data Engineers play a critical role on the Data and Analytics team and are responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders.
You’ll leverage cloud-based infrastructure to implement technology solutions that are scalable, resilient, and efficient. You will collaborate with Data Engineers, Data Analysts, Data Scientists, DBAs, cross-functional teams, and business partners.
You will design, implement, execute, and operate data engineering solutions using Agile methodology, that empower users to make informed business decisions. You are self-motivated, self-directed, and have hands-on experience with all aspects of the software development lifecycle, from design to deployment.
You have a deep understanding of the full life data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting.
Strong candidates will exhibit solid critical thinking skills, the ability to synthesize complex problems, and a talent for transforming data to create solutions that add value to a myriad of business requirements. You have the demonstrated ability to facilitate and take ownership of assigned technical projects in a fast-paced environment. Excellent written and speaking communication skills are required as we work together in a collaborative cross-functional environment and interact with the full spectrum of business divisions.
Qualifications:
Bachelor of Science degree in Computer Science or equivalent.
At least 2 years of post-degree professional experience, including:
2+ years development experience building and maintaining ETL pipelines
2+ years of Python development experience.
1+ year of experience working in an AWS or cloud environment
Experience configuring and implementing ETL pipelines using data orchestration tools such as Argo or Airflow.
Expert skills working with SQL queries, including performance tuning, utilizing indexes, and materialized views to improve query performance.
Experience with AWS integrations such as Kinesis, Firehose, Aurora Unload, Redshift, Spectrum, Elastic Mapreduce, SageMaker and Lambda.
Deep understanding of writing test cases to ensure data quality, reliability and high level of confidence.
Track record of advancing new technologies to improve data quality and reliability.
Continuously improve quality, efficiency, and scalability of data pipelines.
Knowledge of both OLTP and OLAP environments with successful implementation of efficient design concepts.
Proficiency with the design and execution of NoSQL database to optimize BigData storage and retrieval.
Experience with API code integrations with external vendors to push/pull data between organizations
Knowledge of analytic tools such as R, Tableau, Plotly, Python Pandas.
Financial services industry experience is a plus
What we offer you
We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.
Competitive compensation, includes base salary and eligibility to participate in either an annual bonus program or sales incentive plan, as applicable. Base salary range provided below is a reasonable estimate and final base salary may differ based on the selected candidate’s education, training, experience, licensure requirements, travel requirements and geographic location.
Location
CA Redwood CityBase Salary Range
$ 95,700.00-157,800.00We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.