Data Engineer

Delan Associates, Inc

$110K — $130K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Minimum 3 years of experience in improving operational/reporting data processes, including 1+ year in government or community organizing.
  • Proficient with data analysis and visualization tools such as SQL, Python, R, Tableau, and advanced Excel/Google Sheets.
  • Skilled in data engineering tools/frameworks like dbt, Dagster, Docker, and Git.
  • Familiarity with platforms like NGP VAN and Salesforce is essential.
  • Experience in managing complex networking environments and working securely within government ecosystems.
  • Ability to handle large datasets, building automation pipelines preferably in AWS.
  • Interest in public service and improving community outcomes.

Responsibilities

  • Enhance operational and reporting data processes and infrastructure.
  • Utilize data analysis tools to provide insights and drive decision-making.
  • Implement data engineering solutions using modern frameworks and tools.
  • Support platform integration and automation for effective data handling.
  • Ensure secure access and compliant handling of data in government environments.
  • Clean and manage large datasets, creating efficient workflows for data processing.
  • Engage in community-related projects reflecting commitment to public service.

Benefits

  • Opportunities for skill development and learning in a mission-driven environment.
  • Collaborative workplace promoting public service improvement.
  • Engagement in meaningful projects with community impact.
  • Supportive team atmosphere encouraging initiative and problem-solving.
Full Job Description
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

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