Senior Data Engineer

The Basics

Tanium is looking for a dynamic Senior Data Engineer to join our Enterprise Data team! This person will design and optimize scalable data pipelines, transforming raw data into insights that drive strategic decisions. They will drive innovation by automating workflows, boosting data quality, and reimagining processes to maximize efficiency. They will partner with cross-functional teams to build intuitive data models that empower teams with self-service analytics. Above all, this person will shape the future of Tanium's data ecosystem, tackling high-impact problems in a collaborative, fast-paced environment. Join us to turn data into a competitive advantage and leave your mark on our growing organization!

This is a hybrid position, which will require in person attendance at least three days each week in one of the following locations: Durham, NC, Emeryville, CA, Addison, TX, Bellevue, WA, or Reston, VA.

What you'll do

• Design and maintain processes and databases for the Snowflake Data Warehouse. 
• Design, maintain, configure, scale, and optimize optimal data pipelines and related infrastructure, ensuring reliable and optimal extraction, transformation, and loading (ETL) of data from various data sources. 
• Identify, design, and implement internal process improvements, including optimizing data delivery, automating manual processes, and improving governance and data quality. 
• Implement and enhance the collection and calculation of key business performance metrics, in addition to addressing data-related technical issues. 
• Re-design and re-engineer existing data pipelines built using Airflow, SQS, and S3. 
• Templatize repetitive and manual tasks using Terraform or GitHub Actions to streamline processes. 
• Implement and optimize data transformation workflows using DBT (Data Build Tool). 
• Collaborate with cross-functional teams to design semantic models and frameworks that enhance data accessibility and usability. 

Key responsibilities will be

• Data Ingestion & Orchestration (40%): 
  • Extract, transform, and load data from various sources, including Salesforce, NetSuite ERP, SuccessFactors, Coupa, and other corporate applications.
  • Build autonomous pipelines in Python and orchestrate them via Airflow to deliver up-to-date data to the business and key stakeholders. 

• Process Ownership (30%): 
  • Take ownership of all data going into the centralized enterprise data warehouse. 
  • Set up regular maintenance checks, error notifications, and proactively resolve data-related issues.
  • Ensure timely resolution of all data-related bugs and technical issues. 

• Process Improvement (20%): 
  • Modernize the solution footprint by migrating the legacy tech stack and bringing it up to date. 
  • Conduct research and make recommendations on products and services for rationalization and improvement.
  • Work with business stakeholders and power users to understand their BI and Analytics needs, define and implement required data models, and facilitate the creation and maintenance of business-centric dashboards and performance metrics. 

• Mentorship and Comradery (10%): 
  • Mentor junior engineers and analysts, focusing on knowledge sharing and growth. 
  • Maintain a culture of transparency, accountability, and efficiency within the Business Systems organization and with all stakeholders. 
  • Share architecture formally and informally with the team and stakeholders. 

We’re looking for someone with

• Education
  • Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience). 
• Experience
  • 7-10 years of experience in Data Engineering, BI Engineering, or related roles, specializing in data architecture, pipeline design, and data integr