Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Trinity Life Sciences

Director, Data Engineering

Trinity Life Sciences

. Shape Trinity’s data infrastructure and enable data-driven growth and innovation .

Posted 9/18/2026full-timeRemote • Massachusetts • United StatesLead💰 $168,000 - $252,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering, ETL processes, and data quality management, with a strong focus on developing scalable data systems and leading teams. Proficient in relational database technologies and committed to continuous improvement in data quality standards and practices.

Highest-signal resume keywords
Data EngineeringETL ProcessesData Quality ManagementLeadership ExperienceRDBMS Technologies

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisData ProfilingData CleansingData ValidationDatabase DesignData WarehousingTSQL/Procedure DevelopmentData Quality StandardsData Quality Control ProcessesData Quality Metrics
Soft Skills
Project ManagementProblem-SolvingCritical ThinkingCommunicationLeadership
Tools & Technologies
Big Data TechnologiesData Engineering ToolsAnalytical PackagesDatabase TechnologiesData Monitoring Systems
Industry Keywords
Data Privacy StandardsLife Sciences Claims DataData Domain ExpertiseData Quality TrainingData Quality Awareness Programs

Tech Stack

Tools & technologies
ETLRDBMS

About the role

Key responsibilities & impact
  • Shape Trinity’s data infrastructure and enable data-driven growth and innovation
  • Manage a team of skilled data engineers
  • Ensure availability, reliability, and scalability of data systems
  • Develop and implement data quality standards, policies, and procedures
  • Design, develop, and maintain data quality control processes and workflows
  • Perform data profiling and analysis to identify data quality issues and root causes
  • Lead data cleansing and enrichment, including deduplication, standardization, and augmentation
  • Develop and execute data validation tests and checks
  • Maintain documentation of data quality processes, procedures, and issue resolutions
  • Collaborate with cross-functional teams to define data quality requirements
  • Provide data quality training and awareness programs
  • Implement monitoring and reporting systems for data quality metrics and improvements
  • Present data quality findings to senior management
  • Continuously improve data quality processes and strategies
  • Design and develop databases
  • Perform data analysis for client project support
  • Design, develop, and implement ETL processes
  • Contribute to continual improvement of best practices
  • Collaborate with internal team members to meet client project needs
  • Explore industry data sources, analytical packages, database technologies, and trends

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science or related Engineering field
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
  • At least 4 to 6 years of proven experience as a Database Developer or Engineer
  • Proven experience in data engineering, ETL, and data warehousing
  • Minimum of [X] years in a leadership role
  • Proficiency in data engineering technologies and tools
  • Strong project management skills
  • Exceptional problem-solving and critical thinking abilities
  • Excellent communication and leadership skills
  • Experience with relevant industry or data domain expertise
  • Knowledge of data privacy and compliance standards
  • Hands-on experience with RDBMS technologies, including TSQL/Procedure development
  • Strong understanding of relational database architecture and concepts
  • Strong data analytical skills
  • High interest in emerging database technologies and trends
  • Professionalism, proactive communication, and ability to multitask in a versatile, fast-paced environment
  • Knowledge of life sciences claims data a plus
  • Experience with Big Data Technologies a plus

Benefits

Comp & perks
  • Annual discretionary performance bonus
  • Equal opportunities and inclusive workplace environment