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Senior Data Engineer - job 1 of 2

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 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. 
  • Bonus points for:
    • 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.
  • Why join us?
    • Work on cutting-edge data technologies and exciting projects that make a real impact. 
    • Collaborate with a team of talented engineers and analysts in a supportive and innovative environment. 
    • Opportunities for professional growth and skill development in the latest data engineering tools and practices. 

About Tanium 

Tanium delivers the industry's only true real-time cloud-based endpoint management and security offering. Its platform is real-time, seamless, and autonomous, allowing security-conscious organizations to break down silos between IT and Security operations that results in reduced complexity, cost, and risk. Securing more than 32M endpoints around the world, Tanium's customers include Fortune 100 organizations, top US retailers, top US commercial banks, and branches of the U.S. Military. It also partners with the world's biggest technology companies, system integrators, and managed service providers to help customers realize the full potential of their IT investments. Tanium has been named to the Forbes Cloud 100 list for nine consecutive years and ranks on the Fortune 100 Best Companies to Work For. For more information on The Power of Certainty™, visit www.tanium.com and follow us on LinkedIn and X. 

On a mission. Together. 

At Tanium, we are stewards of a culture that emphasizes the importance of collaboration, respect, and diversity. In our pursuit of revolutionizing the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions.   

We are an organization with stakeholders around the world and it’s imperative that the diversity of our customers and communities is reflected internally in our team members. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things. 

Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about most.   

What you’ll get

The annual base salary range for this full-time position is $70,000 to $215,000. This range is an estimate for what Tanium will pay a new hire. The actual annual base salary offered may be adjusted based on a variety of factors, including but not limited to, location, education, skills, training, and experience.

In addition to an annual base salary, team members will receive equity awards and a generous benefits package consisting of 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, and other well-being benefits.

 

For more information on how Tanium processes your personal data, please see our Privacy Policy.

#Hybrid

Average salary estimate

$142500 / YEARLY (est.)
min
max
$70000K
$215000K

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What You Should Know About Senior Data Engineer, Tanium

Tanium is excited to invite applications for the position of Senior Data Engineer in our vibrant Enterprise Data team based in Durham, NC! In this pivotal role, you'll have the chance to design and optimize scalable data pipelines that turn raw data into meaningful insights, driving strategic decisions across the company. Your creativity will shine as you automate workflows, enhance data quality, and reimagine processes, ensuring we maximize efficiency. Collaborating with cross-functional teams, you'll build intuitive data models that empower teams to utilize self-service analytics. In this hybrid position, we require your in-person engagement at least three days a week. By joining Tanium, you'll play an essential role in shaping the future of our data ecosystem, tackling high-impact challenges in a collaborative and fast-paced setting. We are passionate about transforming data into a competitive advantage and would love for you to leave your unique mark on our growing organization. You'll engage with cutting-edge technologies while mentoring junior engineers, all while being a part of a culture that values transparency, accountability, and professional growth. If you're ready to take your career to the next level and work with a team that’s leading the charge in endpoint management and security, Tanium is the place for you!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Tanium
What are the primary responsibilities of a Senior Data Engineer at Tanium?

As a Senior Data Engineer at Tanium, your primary responsibilities involve designing and optimizing scalable data pipelines, automating workflows, ensuring reliable data ingestion, and addressing data-related technical issues. You will also mentor junior engineers and work with teams to enhance data accessibility and usability.

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What qualifications are required for the Senior Data Engineer position at Tanium?

To qualify for the Senior Data Engineer role at Tanium, candidates should have a Bachelor's degree in Computer Science, Engineering, or a related field, combined with 7-10 years of relevant experience. Expertise in Python, Snowflake, AWS infrastructure, and tools like Terraform and GitHub is essential.

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How does the Senior Data Engineer contribute to Tanium's data ecosystem?

The Senior Data Engineer plays a crucial role in shaping Tanium's data ecosystem by designing data pipelines, improving data governance, and collaborating with cross-functional teams to implement data models that enhance analytics capabilities throughout the organization.

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What technologies will a Senior Data Engineer at Tanium work with?

In the Senior Data Engineer position at Tanium, you will work with modern technologies and tools such as Snowflake, AWS services (like S3 and RDS), Terraform, GitHub Actions, Airflow, and DBT, allowing you to reinforce your technical skills while working on impactful projects.

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What is the work environment like for a Senior Data Engineer at Tanium?

The work environment for a Senior Data Engineer at Tanium is dynamic and collaborative, focusing on innovation and continuous improvement. With a hybrid working model and a culture that values mentorship and teamwork, you will thrive in a setting that nurtures personal and professional growth.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with Snowflake and how you've optimized data warehousing?

In your response, highlight specific projects where you've utilized Snowflake for data warehousing, emphasizing performance tuning and strategies you implemented to enhance database efficiency.

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What techniques do you use for automating workflows in data engineering?

Discuss your experience with tools like Terraform and GitHub Actions for automating workflows. Provide an example of a manual process you automated and the impact it had on efficiency.

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How do you approach data quality management?

Explain your methodology for ensuring data quality, including regular maintenance checks, setting up error notifications, and how you resolve data-related issues proactively.

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Can you give an example of a complex data pipeline you've designed?

Describe the architecture of a complex data pipeline you've built, detailing the data sources, the ETL process, and the technologies used, along with any challenges overcome during its development.

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How do you ensure effective collaboration with cross-functional teams?

Talk about specific strategies you've employed to collaborate with teams, such as regular meetings, shared projects, or tools you use for communication, highlighting how this collaboration led to successful outcomes.

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What is your experience with using DBT for data transformation?

Discuss your hands-on experience with DBT, including examples of data transformation workflows you've built and how they contributed to improved data accessibility and usability.

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What strategies do you implement for process improvement in your workflows?

Share examples of how you've identified bottlenecks in data processes and the improvements you implemented, focusing on measurable outcomes such as time saved or defects reduced.

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How do you manage stakeholder expectations regarding data analytics needs?

Detail your approach to understanding stakeholder needs, such as conducting interviews or gathering requirements, and how you maintain communication to ensure expectations are met.

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Can you explain the significance of semantic models in data architecture?

Talk about what semantic models are and why they're important for enhancing data accessibility and usability, providing examples of how you've implemented them in past projects.

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What are some best practices for working in a hybrid role like the one at Tanium?

Share your best practices on balancing remote and in-office work, such as maintaining regular communication, setting clear availability times, and building relationships with teammates virtually.

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Full-time, hybrid
DATE POSTED
March 30, 2025

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