Senior Data Pipeline Engineer — Remote

Candid; United States; Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Retirement match

Life insurance

PTO

Disability

Transit benefits

Flexible spending accounts

PSLF eligibility

Job summary

Candid is a nonprofit focused on data and insights for the social sector. We seek a Senior Data Pipeline Engineer to lead day-to-day development and delivery of data pipelines, blending SQL/ETL expertise with cloud data platform experience to move data into our warehouse and lakehouse.

Reporting to the Data Operations Manager, this 35-hour-per-week role is remote with occasional in-person summits. You will architect, build, and tune ETL/ELT pipelines and mentor engineers while upholding data

Qualifications

• 5+ years of experience in database engineering, data engineering, or ETL development with production pipelines.
• Expert-level Transact-SQL skills (stored procedures, views, indexing) and hands-on C#/.NET development experience.
• Proven experience architecting ETL processes with SSIS; experience with orchestration platforms such as Apache Airflow preferred.

Responsibilities

• Pipeline development: Architect, develop, and maintain ETL/ELT and C#/.NET pipeline services that move data into the warehouse and lakehouse.
• Cloud platform & performance: Support evolving cloud data platform, including Iceberg ingestion and transformation pipelines, DynamoDB, and query tuning via Trino/Starburst.
• Data quality & incident resolution: Monitor data quality end-to-end and resolve production pipeline issues, documenting findings and driving fixes.

Skills

Transact-SQL

C#/.NET

ETL

Data engineering

AWS

Tools

SSIS

Airflow

AWS Lambda

DynamoDB

Iceberg

Parquet

Trino/Starburst

Job description

Candid is a nonprofit focused on data and insights for the social sector. We seek a Senior Data Pipeline Engineer to lead day-to-day development and delivery of data pipelines, blending SQL/ETL expertise with cloud data platform experience to move data into our warehouse and lakehouse.

Reporting to the Data Operations Manager, this 35-hour-per-week role is remote with occasional in-person summits. You will architect, build, and tune ETL/ELT pipelines and mentor engineers while upholding data