Full Stack Data Engineer

Role Description

Sensaria is seeking a Mid-Senior Full-Stack Data Engineer (BI-focused) to join our lean Data and Intelligence team and help build a cloud-based data platform that serves as a single source of truth for business operations. In this role, you’ll have end-to-end ownership of the data lifecycle—from ingestion and transformation to modeling and visualization—helping unify data across systems and deliver reliable, timely insights that drive business decisions.

This role is open to remote applicants in the United States and candidates in the RTP, NC area where you would be based at our Morrisville, NC HQ location. At this time we are unable to provide work sponsorship for this role.

Key Responsibilities

• Design, build, and maintain scalable, secure, and high-quality ELT data pipelines
• Implement data validation and quality assurance processes to ensure data integrity
• Perform exploratory data analysis and leverage built-in ML tools (e.g., BigQuery ML, Vertex AI) for forecasting and anomaly detection
• Develop and maintain BI dashboards and reporting solutions to support data-driven decision-making
• Collaborate with cross-functional teams to deliver impactful, data-driven solutions

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related quantitative field
• 5+ years in data engineering
• 5+ years working with relational databases and SQL
• 3+ years working with cloud-based data platforms (GCP preferred)

Technical Qualifications

• Core Technologies:
• Cloud: GCP; AWS (nice to have)
• Data Warehousing: BigQuery (primary); SQL Server, Snowflake
• Databases: MSSQL, MySQL
• Programming: Python, SQL
• BI Tools: Tableau (required); Looker or Power BI (nice to have)
• Other: Airflow, dbt, real-time data streaming, ELT tools (e.g., Fivetran, Airbyte, Stitch), GitHub, CI/CD pipelines, APIs

Core Competencies

• Problem-solving: Strong analytical, debugging, and research skills to resolve process issues or data inconsistencies
• Ownership: End-to-end ownership of data initiatives
• Collaboration: Ability to work effectively with both technical and non-technical stakeholders
• Accountability: Commitment to delivering accurate, reliable, and timely data products
• Team velocity: Focus on improving development efficiency and accelerating deployment of data models

Benefits

• Competitive compensation package
• Vacation days
• Sick days
• Paid holidays
• Paid maternity and paternity leave
• Paid floating holiday
• Medical, Dental, Vision
• 401K
• STD, LTD, Optional Life insurance
• Opportunities for professional development