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Data Engineer - Seattle Washington
Company: Salesforce
Location: Seattle, Washington
Posted On: 04/26/2024
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. Data Engineer Note: By applying to the DataEngineer posting, recruiters and hiring managers across the organization hiring data engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams.
Salesforce has a number of teams hiring Data Engineers with a variety of experience across, but not limited to, the following types of teams: Legal, Data Intelligence, Monetization Strategy, Marketing, and Data Science.
Each team is made up of data scientists, engineers, growth analysts, and information management authorities who are dedicated to driving product strategy with data-driven insights. Teams with executives, product managers, designers, developers, user researchers, marketers, and sales strategy team members across all Cloud businesses to discover new opportunities for growth and optimization, experiment with data, drive adoption, and provide useful insights that impact product strategy. This role involves making an impact by driving continuous improvements in moving, aggregating, profiling, sampling, testing and analyzing terabytes of data. The -Data and Analytics Organization (DnA) -is Salesforce's cornerstone for fostering growth and margins through unparalleled data insights. From robust governance to strategic execution, we support data pioneers with an unbiased approach. Our Enterprise Data Strategy builds a solid data foundation, fostering a culture of data-driven decisions. We ensure end-to-end quality through a cohesive data supply chain. By deploying and integration platform tools, we enable seamless data access and automated data management driving efficiency and growth with actionable insights.
Your Impact: - Be responsible for the technical solution design, lead the technical architecture and implementation of data acquisition and integration projects, both batch and real time
- Define the overall solution architecture needed to implement a layered data stack that ensures a high level of data quality and timely insights
- Communicate with product owners and analysts to clarify requirements
- Craft technical solutions and assemble design artifacts (functional design documents, data flow diagrams, data models, etc.)
- Build data pipelines data processing tools and technologies in open source and proprietary products
- Serve the team as a domain expert & mentor for ETL design, and other related big data and programming technologies
- Identify incomplete data, improve quality of data, and integrate data from several data sources
- Proactively identify performance & data quality problems and drive the team to remediate them. Advocate architectural and code improvements to the team to improve execution speed and reliability
- Design and develop tailored data structures
- Reinvent prototypes to create production-ready data flows
- Support Data Science research by designing, developing, and maintaining all parts of the Big Data pipeline for reporting, statistical and machine learning, and computational requirements
- Perform data profiling, sophisticated sampling, statistical testing, and testing of reliability on data
- Clearly articulate pros and cons of various technologies and platforms in open source and proprietary products Implement proof of concept on new technology and tools to help the organization pick the best tools and solutions
- Strong SQL optimization and performance tuning experience in a high volume data environment that uses parallel processing
- Teams are using the following: SQL, Python, Airflow, AWS, Spark, Tableau, Hadoop
- Participate in the team's on-call rotation to address sophisticated problems in real-time and keep services operational and highly available Required Skills:
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