Sr. Engineer – Data Analytics
Company | Crowdstrike |
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Location | Pennsylvania, USA, Delaware, USA, Washington, DC, USA, Vermont, USA, Jackson Township, NJ, USA, Florida, USA, Waterbury, CT, USA, South Carolina, USA, Georgia, USA, Concord, NH, USA, Virginia, USA, Kentucky, USA, West Virginia, USA, Maryland, USA, Maine, USA, Massachusetts, USA, North Carolina, USA, Ohio, USA, Michigan, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | |
Experience Level | Senior |
Requirements
- Based in the U.S. Eastern Time Zone (EST preferred).
- Must be eligible for CJIS clearance (typically requires U.S. citizenship or permanent residency).
- 5+ years of experience in a data-centric role (Data Analyst, Data Engineer, or hybrid).
- Expert in Python for scripting, data transformation, and pipeline development.
- Strong SQL skills with practical experience in analytics and performance tuning.
- Hands-on experience with Snowflake, including schema design and transformation logic.
- Advanced knowledge of Tableau (or similar BI tools) to create intuitive and impactful dashboards.
- Ability to translate business needs into scalable, trustworthy data solutions.
Responsibilities
- Design and implement reliable, scalable data pipelines to ingest and transform product usage and adoption data.
- Translate business questions from Product and Engineering into clear metrics, models, and visualizations.
- Collaborate with cross-functional teams to define and track product KPIs tied to adoption, engagement, performance, and customer outcomes.
- Build and maintain Tableau dashboards and data assets that support decision-making across product lifecycles.
- Work within Snowflake to manage and optimize data models used by analysts, PMs, and engineers.
- Write clean, reusable Python and SQL code to automate analytics workflows and ensure data quality.
Preferred Qualifications
- Experience with dbt, Airflow, or other modern orchestration frameworks.
- Familiarity with other BI platforms (Looker, Sigma).
- Experience with Golang and Streaming pipelines.
- Knowledge of product telemetry systems or event-based data structures.
- Experience working in cybersecurity, SaaS, or public sector analytics.
- Exposure to cloud platforms like AWS, GCP, or Azure.