Salesforce Data Engineer

About The Role & Team

We are seeking a Sr. Data Engineer to join our Data Engineering team within our Enterprise Data Insights organization to build data solutions, design and implement ETL/ELT processes and manage our data platform to enable our cross functional stakeholders. As a part of our Corporate Engineering division, our vision is to spearhead technology and data-led solutions and experiences to drive growth & innovation at scale. The ideal candidate will have a strong Data Engineering background, advanced Python knowledge and experience with cloud services and SQL/NoSQL databases. You will work closely with our cross functional stakeholders in Product, Finance and GTM along with Business and Enterprise Technology teams.

As a Senior Data Engineer, you will:

• Collaborating closely with various stakeholders to prioritize requests, identify improvements, and offer recommendations.

• Taking the lead in analyzing, designing, and implementing data solutions, which involves constructing and designing data models and ETL processes.

• Cultivating collaboration with corporate engineering, product teams, and other engineering groups.

• Leading and mentoring engineering discussions, advocating for best practices.

• Actively participating in design and code reviews.

• Accessing and exploring third-party data APIs to determine the data required to meet business needs.

• Ensuring data quality and integrity across different sources and systems.

• Managing data pipelines for both analytics and operational purposes.

• Continuously enhancing processes and policies to improve SLA and SOX compliance.

You'll be a great addition to the team if you have:

• Hold a B.S., M.S., or Ph.D. in Computer Science or a related technical field.

• Possess over 5 years of experience in Data Engineering, focusing on building and maintaining data environments.

• Demonstrate at least 5 years of experience in designing and constructing ETL/ELT processes, managing data solutions within an SLA-driven environment.

• Exhibit a strong background in developing data products, APIs, and maintaining testing, monitoring, isolation, and SLA processes.

• Possess advanced knowledge of SQL/NoSQL databases (such as Snowflake, Redshift, MongoDB). • Proficient in programming with Python or other scripting languages. • Have familiarity with columnar OLAP databases and data modeling.

• Experience in building ELT/ETL processes using tools like dbt, AirFlow, Fivetran, CI/CD using GitHub, and reporting in Tableau.

• Possess excellent communication and interpersonal skills to effectively collaborate with various business stakeholders and translate requirements.

Added bonus if you also have:

• A good understanding of Salesforce or Netsuite systems required

• Experience in SAAS environments

• Designed and deployed ML models

• Experience with events and streaming data