Senior Data Engineer — Remote, Snowflake & Airflow Expert

ebbo; United States; Remote; USD 150,000 - 160,000; Full time

Benefits offered by this job

Unlimited PTO and bonus

Remote work

Health benefits

Annual bonus

DEI Program

Wellness Program

Training budget

Mentorship opportunities

Job summary

ebbo is seeking a Senior Data Engineer to scale our Snowflake-based data platform and deliver reliable, secure data pipelines across AWS sources. You will own end‑to‑end data engineering, collaborate with cross‑functional teams, and implement CI/CD and IaC practices to enable fast, safe analytics.

This fully remote role offers a competitive base salary and annual bonus, generous PTO, and a focus on growth, mentorship, and DEI.

Qualifications

• 5+ years of professional experience in data engineering, with significant hands-on experience in Snowflake.
• Strong SQL skills, with the ability to write and optimize complex, production-grade transformation logic.
• Working knowledge of AWS services relevant to data pipelines: S3, Lambda, DMS, Secrets Manager, and KMS.
• Experience orchestrating data workflows with Apache Airflow (DAG design, scheduling, monitoring/alerting).
• Experience with Infrastructure as Code, ideally Terraform, for provisioning and managing cloud resources.
• Solid understanding of data security and privacy practices, including encryption, tokenization, and access control design.
• Strong analytical and troubleshooting skills across distributed, multi-system data pipelines.
• Strong communication skills, with the ability to document designs clearly and collaborate cross-functionally with both technical and non-technical stakeholders.
• Comfort incorporating AI-assisted development tools into daily workflow to improve efficiency and reduce repetitive manual work.
• Familiarity with CI/CD pipelines and Infrastructure as Code (e.g., Terraform) is a plus.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes within Snowflake, utilizing native capabilities.
• Build data ingestion pipelines using AWS DMS, S3, and Lambda.
• Build and maintain data ingestion pipelines from external sources, including client SFTP servers, REST APIs, and vendor file feeds.
• Orchestrate and monitor workflows using Apache Airflow.
• Manage infrastructure as code using Terraform for CI/CD deployments.
• Partner with cross-functional teams to translate business requirements into data solutions.
• Apply data security practices including encryption, tokenization, and secrets management.
• Troubleshoot and resolve production data pipeline issues.

Skills

Snowflake

SQL

Airflow

Terraform

S3

Lambda

DMS

Secrets Manager

KMS

Data security

PostgreSQL

SQL Server

CI/CD

Snowflake Snowpipe

Snowpark (Python)

AI-assisted tools

Tools

Snowflake

Airflow

Terraform

AWS DMS

S3

Lambda

Secrets Manager

KMS

Snowpipe

Snowpark

Job description

ebbo is seeking a Senior Data Engineer to scale our Snowflake-based data platform and deliver reliable, secure data pipelines across AWS sources. You will own end‑to‑end data engineering, collaborate with cross‑functional teams, and implement CI/CD and IaC practices to enable fast, safe analytics.

This fully remote role offers a competitive base salary and annual bonus, generous PTO, and a focus on growth, mentorship, and DEI.