
Senior Data Engineer (Snowflake & Python)
3pillar
Posted 2026-06-22
Tech & Engg
Job Description
Ovii's Interpretation of the Role
We are looking for a Senior Data Engineer to own Snowflake data warehouses, build Python‑driven ETL pipelines, and deliver analytics visualizations. The role is remote‑first, contract based, and requires 5‑10 years of hands‑on data engineering experience.
Role Snapshot
- Senior Data Engineer
- Remote contractor
- 5‑10 years experience
- Snowflake & advanced SQL
- Python data pipelines
- AWS data services
- ETL/ELT development
- Data integrity focus
Must-Have Requirements
- Snowflake
- Advanced SQL
- Python
- dbt
- AWS Glue
- AWS Lambda
- AWS S3
- Amazon QuickSight
- Rockset
- Data engineering
- Snowflake data warehousing
- Advanced SQL development
- Python data pipelines
- ETL/ELT pipeline development
Nice-to-Have Signals
- Spark
- Hive
- CI/CD automation tools
- Data lake design
- Data security and governance
- Big Data technologies (Spark, Hive)
- Data lake architecture
- Advanced analytics
- financial services
- healthcare
- media
- technology
Work Setup
- Location: Romania, Romania
- Work mode: REMOTE
- Remote scope: UNSPECIFIED
- Employment type: Contract
Not Specified in JD
- Salary range
- Visa sponsorship
- Relocation
- Notice period
- Travel
- Security clearance
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Design, build, and maintain Snowflake data warehouses and related components
- Develop and optimize ETL/ELT pipelines using Python, dbt, and AWS services
- Create data visualizations and dashboards in Amazon QuickSight for clinical stakeholders
- Ensure data quality, integrity, and perform root‑cause analysis across pipelines
- Optimize complex SQL queries for performance and cost efficiency
- Design or improve data lake solutions and enforce data governance
- Automate deployment and testing through CI/CD pipelines
- Collaborate with cross‑functional, non‑technical teams to translate business goals into data solutions
Good Fit If You Have
- Strong experience with Snowflake and advanced SQL
- Proficiency in Python for data processing
- Hands‑on experience with AWS data services (Glue, Lambda, S3)
- Ability to work remotely and collaborate across global teams
- Familiarity with data visualization for healthcare or financial stakeholders
Skills
- Snowflake
- Advanced SQL (CTEs, window functions, tuning)
- Python for data pipelines
- dbt
- AWS Glue / Lambda / S3
- Amazon QuickSight
- Rockset
- Data lake architecture
- CI/CD automation
- Big Data tools (Spark, Hive)