Senior Data Engineer – Remote or MA Based

Hanover

. Lead a team of internal and vendor developers .

Posted 10/16/2026full-timeRemote • Massachusetts • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and architecture, with a strong focus on designing and optimizing ETL processes and data integration solutions across various database environments. Proven ability to lead teams, mentor junior developers, and collaborate effectively with cross-functional stakeholders.

Highest-signal resume keywords

Data EngineeringETL ProcessesInformatica PowerCenterSQL ProficiencyData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IntegrationData WarehousingData ModelingPerformance TuningLinux ScriptingDatabase ConnectorsData Quality ImplementationData Security ProtocolsMetadata ManagementDebugging Active Data Pipelines

Soft Skills

Organizational SkillsMentoringCollaboration

Tools & Technologies

OracleSQL ServerDB2Informatica PowerCenterEnterprise Job Scheduling SoftwareAPIsSFTP/FTPSStreaming DataSOAPREST

Industry Keywords

Data Governance FrameworksData Security StandardsCompliance StandardsData Integration SolutionsData Operations

Tech Stack

Tools & technologies

ETLInformaticaLinuxOracleSOAPSQL

About the role

Key responsibilities & impact

Lead a team of internal and vendor developers
Design, develop, implement, and optimize enterprise data integration and warehousing solutions
Build and maintain ETL pipelines
Bridge source systems with target analytics platforms
Establish scalable data models
Work with external vendors supporting data operations
Collaborate with data architects, business analysts, reporting teams, and business partners
Translate complex business requirements into high-performing technical solutions across Oracle, SQL Server, DB2, and data lake environments
Define work priorities with business partners
Serve as a data/technology lead on cross-functional teams delivering data and reporting solutions
Monitor, maintain, debug, and troubleshoot active data pipelines
Document data processes, workflows, and technical ETL solutions

Requirements

What you’ll need

Bachelor’s degree or higher in Computer Science, Information Systems, Business Information Technology, or an equivalent field
5+ years of professional, hands-on experience in data engineering, data architecture, or data integration
Must be eligible to work in the United States without requiring sponsorship now or in the future (i.e., US Citizen or Green Card holder)
Proven expertise in designing, implementing, and testing complex data mappings and transformations using Informatica PowerCenter
Strong background in data integration, ETL processes, and data warehousing architectures
Hands-on experience optimizing ingestion pipelines for scale, performance, reliability, and cost-efficiency
Advanced proficiency in SQL
Deep technical experience in Oracle, SQL Server, and DB2 databases, including performance tuning, partitioning, Pushdown Optimization (PDO), and stored procedures
Strong background in Linux scripting and enterprise job scheduling software
Familiarity with APIs, Files, SFTP/FTPS, Streaming Data, Database Connectors, SOAP, and REST
Experience in data governance and architecture, including data modeling, data governance frameworks, and metadata management strategies
Ability to implement data quality, data security protocols, and industry compliance standards
Operations and troubleshooting skills for large data sets and active data pipelines
Experience mentoring, coaching, and guiding junior development team members
Exceptional organizational skills for documenting data processes, workflows, and complete technical ETL solutions

Benefits

Comp & perks

Remote work arrangement
Full-time, exempt position