Senior Data Engineer

About the position

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.

Responsibilities

• 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.

Requirements

• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience).
• 7-10 years of experience in Data Engineering, BI Engineering, or related roles, specializing in data architecture, pipeline design, and data integration.
• Expertise in Python for building and maintaining data pipelines.
• Extensive experience in Snowflake for data warehousing, including performance tuning and database development.
• Strong AWS infrastructure experience, including tools such as S3, RDS, MWAA, and SQS, and the ability to configure and build AWS environments.
• Terraform expertise for infrastructure as code (IaC) and automation.
• Extensive experience with GitHub and GitHub Actions for CI/CD processes and task automation.
• Proficiency with DBT (Data Build Tool) for building and deploying data transformation workflows.
• Solid experience with relational and NoSQL databases, with strong SQL development skills.
• Experience templatizing and automating mundane tasks into repeatable workflows using Terraform or GitHub Actions.

Nice-to-haves

• Experience designing and implementing semantic models.
• Implementing decentralized approach like Data Mesh.
• Experience with Power BI or other business intelligence tools.
• Familiarity with Kanban and Agile methodologies.

Benefits

• Annual base salary range of $85,000 to $260,000.
• Equity awards.
• Medical, dental and vision plan.
• Family planning benefits.
• Health savings account.
• Flexible spending account.
• Transportation savings account.
• 401(k) retirement savings plan with company match.
• Life, accident and disability coverage.
• Business travel accident insurance.
• Employee assistance programs.
• Disability insurance.
• Other well-being benefits.