Data Engineer

Ovii's Interpretation of the Role

We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and cloud warehouses that power analytics and reporting. The role blends strong software engineering fundamentals with deep data‑stack expertise to deliver reliable, high‑performance data solutions for a remote‑first team.

Role Snapshot

• Design and build scalable ETL/ELT pipelines
• Maintain cloud data warehouses (Snowflake, BigQuery, Redshift)
• Ensure data quality, governance, and compliance
• Collaborate with analysts, data scientists, and business stakeholders
• Automate deployments and infrastructure with CI/CD
• Optimize query performance and cloud costs

Must-Have Requirements

• Python
• SQL
• Airflow or Prefect
• Snowflake/BigQuery/Redshift
• ETL/ELT pipeline development
• Data Engineering
• cloud data warehouse management
• orchestration tools

Nice-to-Have Signals

• dbt
• Kafka/Kinesis/Pub/Sub
• Docker/Kubernetes
• Terraform/CloudFormation
• CI/CD tools
• experience in regulated industries
• AWS
• GCP
• Azure
• Great Expectations
• Tableau/Looker/Power BI
• streaming pipelines
• dbt modeling
• cloud‑native data services
• regulated industry background
• cost optimization

Work Setup

• Location: United States
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: United States
• Employment type: Full-Time

Application Requirements

• Coding test mentioned
• Assessment mentioned

Not Specified in JD

• Visa sponsorship
• Salary range
• Relocation
• Notice period

What You'll Likely Work On

• Build, maintain, and optimize ETL/ELT pipelines using Python, SQL, and orchestration tools
• Manage and tune cloud data warehouses, design scalable schemas, and create analytics‑ready datasets
• Implement data validation, monitoring, and lineage using dbt or Great Expectations
• Develop real‑time ingestion pipelines with Kafka, Kinesis, or Pub/Sub and support event‑driven use cases
• Partner with analysts and data scientists to deliver reliable datasets for reporting and modeling
• Containerize data services, automate deployments, and manage infrastructure as code

Good Fit If You Have

• Enjoys debugging complex data pipelines and ensuring data reliability
• Thrives in cross‑functional teams and communicates data quality issues proactively
• Passionate about cost‑effective cloud solutions and performance tuning
• Experience in regulated industries (e.g., healthcare, fintech) is a plus