Data Engineer
Listed on 2026-03-01
-
IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
A client of Jackson & Correia, headquartered in Massachusetts, is seeking a Data Solutions Engineer to build resilient and scalable data solutions across multiple functional domains, including Advancement, HR, and Finance.
This role is 100% remote
, with travel to Massachusetts once per quarter, and will focus on implementing best practices in data engineering, ensuring data usability, and delivering high-quality, analysis-ready datasets that support enterprise analytics and reporting.
The Data Solutions Engineer will design, develop, and maintain scalable data models and solutions that meet business and analytical needs. Acting as a bridge between business stakeholders and the data platform team, this role ensures the usability, accuracy, and integrity of enterprise data.
- Own the design, development, and maintenance of scalable data models, dashboards, reports, and analyses
- Interface with Data Platform teams to extract, transform, and load data from diverse sources using AWS and internal tools
- Build, optimize, and deliver high-quality datasets to support administrative data needs
- Lead continuous improvement initiatives to automate or simplify reporting and analysis processes
- Apply analytical and statistical rigor to answer business questions and drive decisions
- Write efficient, complex SQL queries; optimize outputs for analysis readiness
- Adopt, document, and enforce best practices in data engineering, including data discovery, naming conventions, operational excellence, and data security
- Troubleshoot operational quality issues in data processing and orchestration code (SQL/Python)
- Review and audit existing jobs, queries, and processes; recommend improvements to enhance accuracy and simplicity
- Collaborate with stakeholders and provide guidance on data usability while Data Platform Engineers focus on infrastructure reliability
- Perform additional duties as assigned
- 10+ years of data engineering experience, including programming, data modeling, warehousing, and building data pipelines
- Strong experience with modern databases such as Snowflake and Redshift
- Experience with data orchestration tools such as Airflow or Dagster
- Proficiency with AWS technologies, including S3, AWS Glue, dbt, IAM roles and permissions
- Advanced SQL skills with experience writing highly optimized queries on large datasets
- Proficiency in scripting languages such as Python, PySpark, Java, or Scala
- Proven ability to ensure data integrity and accuracy
- Strong communication skills with technical teams, business users, and senior management
- Ability to build trusted relationships and collaborate across diverse teams
- Comfortable working in fast-paced, complex, and ambiguous environments
- Experience providing technical leadership and mentoring other engineers on best practices in data engineering
- Familiarity with BI tools and data science models
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).