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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the full cycle of data solutions, including data pipeline engineering, solution design, and deployment. Proficient in utilizing cloud technologies and tools to optimize data management and analytics.
Highest-signal resume keywords
Data Pipeline EngineeringSQL and Relational DatabasesCloud Technologies and ToolsData ModelingAgile Principles
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData AnalysisData ManagementData TransformationData QualityData MartsData LakesPythonAPIsGit/Version Control
Soft Skills
CollaborationMentoringProblem SolvingCommunication
Tools & Technologies
SnowflakeDbtKafkaFivetran
Industry Keywords
Data SolutionsTechnical DirectionRisk and ComplianceDefect ManagementRoot Cause Analysis
Tech Stack
Tools & technologiesCloudKafkaPythonSQL
About the role
Key responsibilities & impact- Lead and/or engineer the full cycle of data solutions, including analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support
- Design and implement highly complex technical solutions for data engineering and analytic systems using emerging technologies
- Design, build, manage, and optimize data pipelines covering data transformation, data models, schemas, metadata, data quality, and workload management
- Lead team design reviews and provide recommendations using innovative architectural concepts and principles
- Break down business features into technical stories and approaches
- Present technical solutions and proof of concepts to leadership and influence solution direction
- Collaborate with cross-functional partners and stakeholders to lead technical solutions
- Implement defect management, root cause analysis, and resolution processes
- Develop, maintain, and enforce data development tools and standards
- Conduct regular code reviews to improve quality and ensure compliance
- Create data pipelines extracting data from internal and external applications into the Data Platform
- Help set technical direction and mentor team members
- Identify, measure, monitor, and control risks in accordance with risk and compliance policies and procedures
Requirements
What you’ll need- Bachelor's degree; OR 4 years of relevant education and/or experience
- 6 years of data engineering, data analysis or software development experience, including at least 2 years of data engineering or data management experience
- Proven experience delivering end-to-end data solutions, including building, managing, and optimizing data pipelines across cloud environments
- Experience curating and modeling data for various consumers/products, including data marts, data lakes, and operational analytic applications
- Strong understanding of agile principles and ability to apply them
- Extensive knowledge and experience in SQL and relational databases
- Proficiency with cloud technologies and tools
- Snowflake
- dbt
- Kafka
- APIs
- Python
- Data modeling
- Fivetran
- Git/version control
- Must not require immigration support or visa sponsorship now or in the future
Benefits
Comp & perks- Comprehensive medical, dental and vision plans
- 401(k)
- Pension
- Life insurance
- Parental benefits
- Adoption assistance
- Paid time off program
- Paid holidays
- 16 paid volunteer hours
- Various wellness programs
- Career path planning
- Continuing education assistance
- Pay incentives may be available based on overall corporate and individual performance and at the discretion of the USAA Board of Directors
- Remote or hybrid flexibility may be available for active-duty military spouses consistent with applicable policy and business needs