Data Engineer (114)

Required Skills

A minimum of 3 years of experience with the following skill sets:

Working with to improve operational and reporting data processes and infrastructure including 1 years working in government or in community issue labor or political organizing

Experience using one or more of the following data processing analysis and visualization tools in a professional setting: SQL (Postgres MSSQL DuckDB) Python R GIS Tableau Looker Data Studio Excel/Google Sheets (advanced)

Experience using one or more of the following tools/frameworks to implement and support data engineering transformation and orchestration/automation: dbt and dbt-duckdb Dagster DLT Docker Ducklake (S3 Postgres) git and GitHub Sling

Experience using 1 of the following platforms: NGP VAN Salesforce Hustle Mobilize and Reach

Proficiency in working with complex enterprise network environments in highly secure government ecosystems including differentiating between public and private networks working within the confines of private networks managing TLS/SSL and termination configuring data egress/ingress through forward and reverse proxies.

Experience processing cleaning manipulating managing and analyzing large datasets and building pipelines to automate these steps preferably in an AWS environment with tools such as EC2 ECR Farget IAM Lambda functions Redshift S3 buckets and VPC and private subnetting

Experience conducting entity resolution and record linkage (i.e. deduplication) using probabilistic frameworks like Splink.

A demonstrated interest in public service and improving the lives of New Yorkers

Eagerness to take initiative ask questions learn new skills and solve problems in a fast-paced mission-driven environment

Strong written and oral communication skills in English