Senior Data Analytics Engineer
WorkWave
•$130,000 - $175,000•Hybrid
About The Position
We are seeking an innovative Senior Data Engineer to join our Startup AI and Data Analytics Business Unit. This role is a critical bridge, connecting technical engineering with business strategy. Beyond just managing tickets or building pipelines, you will take full ownership of the data ecosystem. You will play a pivotal role in supporting our AI/ML initiatives, managing the modern data stack while simultaneously answering critical business questions to ensure data accessibility, reliability, and scalability.
Requirements
- 5+ years of experience in data engineering roles, including taking ownership of pipelines and optimizing infrastructure.
- Ninja-level proficiency in SQL (specifically CTE optimization) and Python (complex scripting and ML/AI).
- Expertise in architecting data pipelines and ETL processes, with tools like Fivetran, Snowflake, and DBT.
- Proven ability to apply business intuition, leveraging analytical skills to present complex data insights and actionable recommendations to technical and non-technical stakeholders.
- Experience building visual data analytic business-driven solutions using tools like PowerBI, Sigma, or similar analytic tools.
- Masters degree in engineering or analytics
Nice To Haves
- Familiarity with cloud platforms like AWS and experience with big data technologies such as Snowflake.
- Proven experience in leading data engineering projects and integrating data from multiple sources.
- You have worked in small teams driving innovative solutions and thrive in agile environments.
Responsibilities
- Own the Data Ecosystem: Build and maintain robust data pipelines and ETL processes, taking full responsibility for the health, cost, and observability of the stack to prevent downtime before it impacts stakeholders.
- Business-First Data Modeling: Design and manage data warehouses to support advanced analytics, focusing on creating "Gold Standard" data models that make self-service easy in platforms like PowerBI, Tableau, and Sigma.
- Documentation & Governance: Maintain comprehensive documentation of all data engineering processes to enable stakeholder self-service, following the industry’s best practices.
- Infrastructure Development: Design and manage data lakes, warehouses, and databases to support advanced analytics and AI workflows.
- Performance Tuning: Act as a SQL/Python expert to optimize data pipelines and troubleshoot issues proactively, ensuring queries are efficient and scalable.
- Data Quality Management: Implement frameworks that ensure data reliability across the organization, ensuring smooth integrations across systems.
- Bridge the Gap: Collaborate with cross-functional product, engineering teams, and customers to translate vague business goals into precise technical requirements.
- Support AI/ML: Create models that specifically enhance Analytics and AI/ML projects.
Benefits
- robust benefits package, including health and dental and 401k with company match
- Flexible Time Off policy or generous PTO plan (role dependent) and paid holidays
- Up to 4 weeks paid bonding leave
- Tuition reimbursement
- Robust Employee Assistance Program through TotalCare offering free counseling 24/7/365, plus financial counseling, legal guidance, adoption assistance services and much more!
- 24/7 access to virtual medical care with Teladoc
- Quarterly awards based on peer nominations
- Regional discounts and perks
- Opportunities to participate in charitable events and give back to the community
- access to extensive video libraries for soft skill and role specific training available 24/7 and live trainings are provided throughout the year
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
251-500 employees
