Data Engineer

Southlake, TX, US • Posted 15 hours ago • Updated 2 hours ago
Full Time
On-site
USD $112,300.00 - 150,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Creative Problem Solving
  • Finance
  • Management
  • Financial Planning
  • Customer Analysis
  • Collaboration
  • Documentation
  • Regulatory Compliance
  • Use Cases
  • Modeling
  • Emerging Technologies
  • Mentorship
  • Motivation
  • ERwin
  • SQL
  • Performance Tuning
  • Google Cloud
  • Google Cloud Platform
  • Testing
  • Analytical Skill
  • Cloud Computing
  • Informatica
  • Agile
  • Customer Engagement
  • Communication
  • Delegation
  • Continuous Improvement
  • Object-Oriented Programming
  • .NET
  • Java
  • Python
  • Real-time
  • Streaming
  • Data Quality
  • Data Governance
  • Writing
  • Interfaces
  • Computer Science
  • Data Engineering
  • Mathematics
  • Analytics

Summary

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 believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location.

Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning.

Would you like to be part of a new team chartered to build the next generation data & analytics platform supporting Customer Analytics? As part of Schwab's Client Analytics Technology team, you will contribute to the development and deployment of data assets instrumental in capturing our clients' activity, which is used to inform critical business decisions and elevating our clients' experiences. You'll collaborate with data engineering & analytics teams to design and deliver new data pipelines, support data analysts and data scientists, maintain documentation and ensure compliance with published policies and standards, while mentoring junior team members and supporting their technical and professional growth.

Collaborating with business partners to understand data requirements and use cases for a portfolio of applications, provide prescriptive design guidance on the best fit schema design, data movement, processing, and analytical patterns for dimensional data
Capturing, modeling, and documenting views of enterprise data at contextual, conceptual, and logical levels of abstraction using Erwin
Designing, implementing, and maintaining data services, interfaces, and real-time data pipelines via the practical application of existing, new, and emerging technologies and data engineering techniques
Partnering with platform architects to ensure implementations meet published platform principles, guidelines, and standards
Mentoring, motivating, and supporting the team to achieve objectives and goals
Advocating for agile practices to increase delivery throughput
Designing and maintaining solutions consistent with published standards

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

5+ years of experience working with partners documenting business requirements and translating those requirements into dimensional data models using Erwin
5+ years of experience writing complex SQL and advanced performance tuning
Current Expertise with Google Cloud Platform

3+ years of experience designing, building, testing, and supporting near real-time data pipelines and analytical solutions using modern cloud technologies such as BigQuery, Airflow, Informatica IDMC, etc.
3+ years of experience working on agile teams delivering data solutions
1+ years of experience working with omni channel customer interaction data, translating requirements into data models, pipelines, coordinating with downstream partners and assisting them with any of their consumption requirements
Strong written and verbal communication skills, ability to clearly convey complex ideas, deliver feedback, and influence teams across organizational boundaries
Ability to define and solve complex problems with ambiguous or incomplete data in distributed systems
Demonstrated ability to lead medium/large projects, coordinating activities of other personnel and delegating work appropriately to ensure delivery on-time, as promised
Commitment to quality-driving high standards including writing and executing tests at all levels
Demonstrated mindset of continuous improvement and learning

Preferred Qualifications

Experience using object-oriented languages (.Net, Java, Python) to deliver data for near real-time, streaming analytics
Experience with data quality and data governance frameworks
Experience writing automated unit, integration, and acceptance tests for data interfaces & data pipelines
Ability to quickly comprehend the functions and capabilities of new technologies, and identify the most appropriate use for them
Bachelor's degree in computer science, Data Engineering, Mathematics, Analytics, or related field

In addition to the salary range, this role is also eligible for bonus or incentive opportunities
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90989465
  • Position Id: 667a42d83257802b8ba3ad715753da6d
  • Posted 15 hours ago
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