Hands-on experience with orchestration, distributed processing, and storage.
Proficiency in scripting/automation and version control.
Strong problem-solving and communication skills.
Responsibilities
Design modular ingestion and transformation components for reuse and maintainability.
Build automated data tests and quality rules into pipelines; contribute to CI/CD workflows.
Operate monitoring, logging, and alerting; tune signals for effective triage.
Execute upgrades and changes using low-risk deployment practices.
Support cloud service integration and container/orchestration patterns for scalability.
Partner with consumers to align data models with user needs; provide reusable datasets.
Document standards, runbooks, and troubleshooting guides; contribute to internal enablement materials.
Benefits
Flexible/hybrid work schedule with 3 in-person days and 2 remote days.
Core office locations in Salisbury, NC or Quincy, MA.
Opportunity to work on cutting-edge data engineering practices.
Engagement in Agile planning and continuous improvement initiatives.
Full Job Description
Primary Purpose:
The Data Engineer III designs and implements reusable data patterns, automates quality and governance checks, and strengthens pipeline reliability and observability.
*Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office location for this role is Salisbury, NC or Quincy, MA.
*Applicants must be currently authorized to work in the United States on a full-time basis.
Duties and Responsibilities:
Design modular ingestion and transformation components for common use cases, emphasizing reuse and maintainability.
Build automated data tests, quality rules, and lineage capture into pipelines; contribute to CI/CD workflows that validate and deploy changes safely.
Operate monitoring, logging, and alerting; tune signals to reduce noise and speed triage (including observability tooling such as DataDog where used).
Execute upgrades and changes using low-risk deployment practices, contributing automation scripts and repeatable release steps.
Support cloud service integration and container/orchestration patterns as needed to improve scalability and runtime performance.
Partner with consumers to align data models with user needs and usability principles; provide reusable datasets and components.
Maintain infrastructure as code and update environment configurations using approved tools and templates.
Document standards, runbooks, and troubleshooting guides; contribute to internal enablement materials for platform usage.
Contribute to Agile planning and continuous improvement; support operational needs that keep platform services running.
May be called upon to support critical escalations and must be available during urgent IT incidents as needed.
Qualifications:
Bachelor's degree or equivalent years of work experience.
5+ years in data engineering or closely related roles.
Hands on experience with orchestration, distributed processing, and storage.
Proficiency in scripting/automation and version control.
Clear problem solving and communication skills.
Preferred Qualifications:
Exposure to streaming and change data capture patterns.
Awareness of privacy/security controls for data.
Salary Range: $125,040 - $187,560
Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.
