Senior Data Engineer

Company: myGwork
Location: Dallas
Posted on: May 16, 2022

Job Description:

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
Products and Technology Job Details
Business Technology connects people and technology to transform the future of work at Salesforce. Guided by our core values of Trust, Customer Success, Equality, Innovation, and Sustainability, we deliver business outcomes that fuel growth, drive competitive advantage, and empower our employees and customers globally. BT's scope stretches beyond traditional IT: We are also strategic partners, advocating for the best outcomes for our customers, always innovating, and helping to shape the future of work.

We oversee technology strategy, Salesforce on Salesforce, customer and partner enablement, applications engineering, infrastructure, collaboration, enterprise operations, architecture, and program enablement. We are Customer Zero, the best example of Salesforce products delivered globally, at scale, sustainably.

Salesforce's Data Engineering team sits alongside our centralized Analytics team, working together closely to ensure we are a data-driven company. Data Engineering is responsible for building and maintaining an infrastructure that powers: Product, Analytics, Marketing, Sales and Operations functions. Data Engineering is a foundational pillar for all of Salesforce and one of the most highly leveraged teams.

As a Senior Data Engineer at Salesforce, you'll be a critical part of the development and enhancement of an innovative data environment by leveraging industry best practices and cutting edge approaches. You'll collaborate with engineering to nail-down the data infrastructure, and with our business partners across all major functions at the organization to anticipate data needs, and proactively develop data solutions to address the toughest business problems. In short, you'll be building the foundation that allows the rest of the organization to understand our users and turn it into actionable steps to make our product even better and our business run smoother.

Our ideal candidate isn't satisfied until a project is seen through to meaningful impact. If you love working with data and want to see your work impact the entire organization, we want to talk to you!

What you'll do:
Work alongside and support a talented team of data engineers.
Architect, build and maintain scalable automated data pipelines ground up. Be an expert of stitching and calibrating data across various data sources.
Work with Salesforce's data ingestion, data platform and product teams to understand and validate instrumentation and data flow.
Develop data set processes for data modeling, mining and production.
Integrate new data management technologies and software engineering tools into existing structures
Support regular ad-hoc data querying and analysis to better understand customer behaviors.
Understand, monitor, QA, translate, collaborate with business teams to ensure ongoing data quality.

What a successful candidate will have:
5+ years experience designing, implementing and maintaining relational / data warehousing environments (custom or structured ETL, preferably working with large data environments)
Experience with developing robust and tested Python applications to support the data warehouse
Experience working with Linux and debugging performance issues. Experience with the Heroku SAS Platform is a big plus.
Strong background in Data Warehousing concepts and schema design
Experience implementing and managing Python open source data tooling such as Airflow, DBT, SQLAlchemy, pandas, Jupyter
History of designing, building and launching extremely efficient & reliable data pipelines to move data (both large and small amounts) throughout a Data Warehouse.
Strong experience working with RDBMS & MPP databases (Redshift, PostgreSQL, Snowflake), with ability to optimize queries for high volume environments.
Some experience in data streaming with Kafka, Kinesis would be a big plus.
Must exhibit strong communication skills, empathy, and initiative
This role is Office-Flex (-1-3 days/wk in office) or Fully Remote

Accommodations
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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 Salesforce and explore our benefits.
Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. 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.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org .
Salesforce welcomes all.

This employer is a corporate member of
myGwork - LGBTQ+ professionals, the business community for LGBTQ+ professionals,
students, inclusive employers & anyone who believes in workplace equality.

Keywords: myGwork, Dallas , Senior Data Engineer, Engineering , Dallas, Texas