Senior Engineer developing Generative and Agentic AI capabilities at a global AI company. Collaborating hand - on with engineering and data science teams in an innovative environment.
About the role
- Principal Software Engineer designing, developing, and optimizing enterprise data solutions for WM. Leading complex projects and collaborating with cross-functional teams to align technical solutions with business needs.
Responsibilities
- Build data pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Cloud Integration ETL/ELT tools
- Design, develop and document ETL/ELT, event-driven data integration architecture solutions
- Troubleshoot and tune complex SQL
- Presents, communicates, and articulates technical processes effectively to all levels of the organization
- Contributes strategic vision and integrates a broad range of ideas regarding applications and software data development
- Work with the Business Analysts, Data Analysts, Data Architects, BI Architects, Data Scientists, and Data Product Owners to align engineering solutions with enterprise data strategies and technical standards
- Provide technical leadership in coding, testing, and code reviews; Mentors and fosters growth of peers and team members
- Support data quality, governance, data observability, and compliance through development of frameworks, metadata, and standards
- Apply engineering best practices to ensure performance, reliability, and scalability of enterprise data solutions
- Works with customers and technical staff to resolve problems with software and responds to suggestions for improvements and enhancements
- Participate in the creation of technical documentation, including data flows, integration specifications, and solution designs
- Stay current with emerging technologies in data management and AI
Requirements
- Bachelor's Degree (accredited) in Computer Science, MIS, or similar area of study.
- 10+ years of previous experience required (in addition to education requirement).
- Expert-level with data engineering expertise, including ETL, data warehouses, marts, and lake development
- Expert-level experience working with SQL relational and NoSQL databases, query authoring
- Expert-level experience working with Cloud Data Warehouse like Snowflake, IBM PureData, Google BigQuery, Amazon Redshift
- Expert-level experience working with AWS cloud services: ASW Glue, EC2, S3, Lambda, SQS, SNS
- Expert-level experience working with GitHub, CI/CD and its integration with the ETL tools for version control
- Expert-level experience working with Informatica PowerCenter, various scripting languages, SQL, querying tools
- Expert-level experience working with modern data management tools and platforms, including Spark, NoSQL, APIs, Streaming, and other analytic data platforms
- Proficient level experience in data observability
- Proficient level experience in Agile/Scrum project management and product ownership
- Expert level in enterprise data management, integration patterns, and metadata practices
- Expert level to apply architecture and analysis knowledge when working with cross-functional teams
- Expert-level strong problem-solving skills with attention to detail and quality
- Excellent communication skills for both technical and non-technical audiences
- Proficient ability to lead, mentor, and collaborate within a high-performing engineering team
- Proficient knowledge of project management/change management regarding acquisition/development life cycles
- Expert level in systems development, implementation, upgrades, and analyses
- Proficient in QA testing, catalyst or unified business modeling, system design, and analysis
- Knowledge of enterprise coding standards
- Expert level with hands-on experience in writing highly complex code
- Ability to perform code reviews
- Expert knowledge of software methodologies
- Ability to learn new and emerging technologies
- Ability to multitask, meet deadlines, and work in a fast-paced environment
- Ability to adapt to change
- Demonstrate flexibility and a willingness to undertake a wide variety of challenging tasks
- General business knowledge and concepts
Benefits
- At WM, each eligible employee receives a competitive total compensation package including Medical, Dental, Vision, Life Insurance and Short Term Disability.
- Stock Purchase Plan
- Company match on 401K
- Paid Vacation
- Holidays
- Personal Days
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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