Job Description
Our client is hiring a Data Engineer to help power a platform that turns millions of public records and government documents into structured, interconnected data that delivers strategic insights for development, planning, and decision-making.
The work involves ingesting diverse data sources such as permits, meeting records, environmental data, and regulatory filings, resolving references to the same entities across those sources, and organizing them into usable datasets that support risk evaluation, due diligence, policy tracking, and forward-looking analysis
This is a hybrid position based in Boston, MA.
Required QualificationsBachelor’s degree in Computer Science, Engineering, or a related technical field
3+ years of experience in data engineering or a closely related role
Strong SQL skills with experience working with relational datasets
Experience building, maintaining, and supporting ETL or ELT pipelines
Working knowledge of data modeling concepts and data quality practices
Proficiency in Python and familiarity with at least one additional programming language
Experience working in cloud environments such as AWS, Azure, or GCP
Familiarity with data warehouses, data lakes, or analytical data stores
Experience using workflow orchestration or scheduling tools
Ability to troubleshoot data issues in production systems
Clear communication skills and comfort collaborating across teams
Experience supporting analytics, reporting, or operational data use cases
Exposure to metadata-driven, semantic, or relationship-based data modeling
Familiarity with highly connected or graph-like datasets
Experience with streaming or incremental data processing
Exposure to BI or reporting tools
Experience preparing data for analytical or AI-driven workflows
Interest in improving documentation, standards, or shared tooling
Build and support data pipelines that ingest, transform, and organize diverse datasets
Maintain existing workflows and contribute improvements focused on reliability and performance
Help optimize schemas and queries used for analytics and downstream consumption
Implement monitoring, validation, and quality checks across data workflows
Assist with managing data storage systems such as warehouses and data lakes
Investigate and resolve data-related issues in live environments
Collaborate with engineers, analysts, and product partners to understand data needs
Participate in code reviews and contribute to shared engineering practices
Learn and adopt new tools and patterns as the data platform evolves
40% Data Pipelines, Transformation, and Orchestration
30% SQL, Data Modeling, and Query Optimization
20% Cloud Data Platforms and Infrastructure
10% Python and Platform Support
75% Hands-on development and operational support
15% System improvements and optimization
10% Collaboration, planning, and documentation
Bonus eligible
Medical, dental, and vision coverage
Paid time off
401(k) plan with company match (if applicable)
Applicants must be authorized to work in the United States on a full-time basis now and in the future.
Data Engineer • Boston, MA, United States
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