Senior Data Engineer

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

Data

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.

Sr. Data EngineerOffice hybrid
As a Senior Data Engineer within the Marketing Operations team, you will be working multi-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. Collaborate with our Business Analytics Data Engineering function and have an opportunity to build a sound data foundation and processes that will scale with the company’s growth. You will architect, design, implement data pipelines enabling insights from our Product and Corporate Systems for key partners, data scientists and decision makers in organizations such as Sales, Customer Success, Marketing and Finance at Slack.

This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues. In short, we look for people who take pride in the craft and want to be part of creating and defining the team's operating model and contribution to the company. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. If this role has your name written all over it, please contact us with a resume so that we explore further.

Responsibilities

• Design, implement and build pipelines that deliver data with measurable quality under the SLA.
• Assemble sophisticated, large data sets that meet functional requirements.
• Partner with Data architects, domain experts, data analysts and other teams to build foundations that are trusted, well understood, aligned with business strategy and enable self-service.
• Be a champion of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements.
• Own and document data pipelines and data lineage.
• Identify, document and promote standard processes.
• Support and Maintain analytics tech ecosystem (data warehouse, ETL and BI tools).

Requirements

• A Related Technical Degree
• At least 8 years or more of work experience in data management including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
• At least 4 years of experience working in multi-functional teams and collaborating with business partners in Sales or Finance in support of a departmental and/or multi-departmental data management and analytics initiative that involve working with data generated by product and business systems.
• Solid experience in working with Sales, Finance and product usage data.
• Expertise in dimensional modeling, supporting data warehouse, scaling and optimizing, performance tuning and ETL pipelines
• Deep understanding of relational as well as big data setup
• Problem solver with excellent interpersonal skills with ability to make sound sophisticated decisions in a fast-paced, technical environment.
• Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing sophisticated SQL queries etc.
• Prior experience with AirFlow preferred.
• Hands-on experience with Data Warehouse technologies (Snowflake, Redshift) and Big Data technologies (e.g Hadoop, Hive, Spark)
• Proficiency with programming languages is helpful (e.g. Python)
• Passionate about various data technologies including but not limited to SQL/No SQL/MPP databases etc.
• Excellent written and verbal communication and interpersonal skills, able to optimally collaborate with technical and business partners
• Excellent understanding of trade-offs
• Proven track record to navigate between big-picture and implementation details

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

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 New York-based roles, the base salary hiring range for this position is $151,800 to $265,200.

For Colorado-based roles, the base salary hiring range for this position is $138,000 to $221,000.

For Washington-based roles, the base salary hiring range for this position is $138,000 to $243,100.

For California-based roles, the base salary hiring range for this position is $151,800 to $265,200.

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.