Data Engineer

Bellevue, WA, United States

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Job Category

Software Engineering Job Details

About Salesforce

Were 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 youve 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 teams on-call rotation to address sophisticated problems in real-time and keep services operational and highly available

Required Skills:

4+ years experience in data engineering

Build programmatic ETL pipelines with SQL based technologies and platforms

Solid understanding of databases, and working with sophisticated datasets

Data governance, verification and data documentation using current tools and future adopted tools and platform

Work with different technologies (Python, shell scripts) and translate logic into well-performing SQL

Perform tasks such as writing scripts, web scraping, getting data from APIs etc.

Automate data pipelines using scheduling tools like Airflow

Be prepared for changes in business direction and understand when to adjust designs

Experience writing production level SQL code and good understanding of Data Engineering pipelines

Experience with Hadoop ecosystem and similar frameworks

Previous projects should display technical leadership with an emphasis on data lake, data warehouse solutions, business intelligence, big data analytics, enterprise-scale custom data products

Knowledge of data modeling techniques and high-volume ETL/ELT design

Experience with version control systems (Github, Subversion) and deployment tools (e.g. continuous integration) required

Experience working with Public Cloud platforms like GPC, AWS, or Snowflake

Ability to work effectively in an unstructured and fast-paced environment both independently and in a team setting, with a high degree of self-management with clear communication and commitment to delivery timelines

A related technical degree required

Benefits & Perks

Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.

Salesforce Information

Check out our Salesforce Engineering Site.

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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

?Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For Washington-based roles, the base salary hiring range for this position is $122,600 to $280,200. For California-based roles, the base salary hiring range for this position is $133,800 to $305,600. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.