Senior Data Pipeline Engineer - Remote

Candid; New York (NY); Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

Health insurance (medical, dental, vis

Retirement contribution with match

Life insurance and AD&D

Paid time off and holidays

Short/long-term disability

Pre-tax transit

Flexible spending accounts

Supplemental insurance

Summer hours

PSLF eligible employer

Job summary

Candid, a nonprofit providing data and insights for the social sector, seeks a Senior Data Pipeline Engineer. You will lead day-to-day development and delivery of data pipelines, blending SQL and ETL expertise with cloud data platform experience to move data into our warehouse and lakehouse.

The role is remote with in-person summits twice per year in NYC, a 35-hour workweek, and compensation ranging from $100,000 to $130,000, adjusted for locality and experience.

Qualifications

• 5+ years of experience in database or data engineering for production pipelines.
• Expert-level Transact-SQL and C#/.NET development experience.
• Experience architecting ETL processes with SSIS; Airflow preferred.
• Experience with AWS and open table formats (Iceberg, Parquet).
• Strong data quality and incident troubleshooting skills.

Responsibilities

• Architect, develop, and maintain ETL/ELT data pipelines to move data into the data warehouse and lakehouse.
• Support evolving cloud data platform including Iceberg ingestion and transformation pipelines.
• Monitor data quality end-to-end and resolve production pipeline incidents.
• Onboard new external and regulatory data sources and coordinate schema changes.
• Maintain documentation and mentor Associate engineers; participate in release processes.
• Provide escalation-level support for mission-critical pipeline issues.

Skills

SQL

ETL engineering

Data pipelines

Mentoring

Communication

Tools

SSIS

Airflow

AWS Lambda

DynamoDB

Iceberg

Parquet

Trino/Starburst

CI/CD

Source control

Job description

Candid, a nonprofit providing data and insights for the social sector, seeks a Senior Data Pipeline Engineer. You will lead day-to-day development and delivery of data pipelines, blending SQL and ETL expertise with cloud data platform experience to move data into our warehouse and lakehouse.

The role is remote with in-person summits twice per year in NYC, a 35-hour workweek, and compensation ranging from $100,000 to $130,000, adjusted for locality and experience.