✦ Luna Orbit — System Administration

Senior Data Engineer (REMOTE OR HYBRID MA)

at The Hanover Insurance Group

📍 Remote, US Remote 💰 $100K – $130K USD / year Posted April 10, 2026
Salary $100K – $130K USD / year
Type Full-Time
Experience senior
Exp. Years Not specified
Education Bachelor’s degree or higher in Data Science, Mathematics, Statistics
Category System Administration

Senior Data Engineer role responsible for designing, developing, implementing, optimizing, and maintaining data integrations, pipelines, and solutions. The role includes leading complex projects, mentoring engineers, collaborating with business partners, and ensuring data quality, security, and compliance in an Azure and on-premises environment.

  • Design, develop, implement, optimize, and maintain data integrations, pipelines, and solutions
  • Build Azure-based data solutions using Azure Data Factory and Azure Synapse
  • Optimize data ingestion pipelines and notebooks for scale, performance, reliability, and cost
  • Design and test data mapping with transformation rules to ensure data quality and reliability
  • Document data processes and solutions; ensure data security and compliance; mentor junior engineers

You will build and optimize ETL and data warehousing solutions using Azure Data Factory, Azure Synapse, and ADLS, supported by SQL, Python, and PowerShell. Responsibilities include pipeline performance/cost optimization, integration connector support (APIs, SFTP/FTPS, streaming, DB connectors, SOAP/REST), and Git/Github-based CI/CD in an Agile/DevOps workflow.

The ideal candidate is a senior data engineer with strong Azure data platform experience using Azure Data Factory and Azure Synapse, plus hands-on ETL and data warehousing development. They are proficient in SQL, Python, and PowerShell, and they have optimized data ingestion pipelines for scale, performance, reliability, and cost. They can lead complex projects independently and mentor other engineers in an Agile/DevOps environment.

Proven experience in data engineeringbest practices for data storageintegrationtransformationand accessAzure Resources (Azure Data FactoryAzure SynapseADLSetc)Strong experience with data integrationETL processesand data warehousing.Advanced proficiency in SQLPythonand PowerShell.Proven knowledge of data modelinggovernanceand data engineering best practices and patterns.Git/Github experience for CI/CD.Experienced in agile development methodologies and DevOps best practices.
Azure Data FactoryAzure SynapseADLSGitGithubCI/CDPowerShellSQLPython
data engineeringdata storageintegrationtransformationaccessAzure Data FactoryAzure SynapseADLSETLdata warehousingSQLPythonPowerShelldata modelingdata governancedata ingestion pipelinesnotebooksAPIsSFTP/FTPSStreaming DataDB ConnectorsSOAPRESTGitGithubCI/CDagile developmentDevOpsdocumentationdata qualitydata securitycompliance
Azure Data FactoryAzure SynapseADLSAzureon-premisesSQLPythonPowerShelldata storagedata integrationdata transformationdata warehousingdata modelingdata governanceETLdata ingestion pipelinesnotebooksAPIsFileSFTP/FTPSStreaming DataDB ConnectorsSOAPRESTdata mappingtransformation rulesdata qualitydata securitydata complianceGitGithubCI/CDmonitor and maintain data pipelinesdocumentationdebugging
mentoringtechnical guidancecollaborationcommunicationproblem-solvingcritical thinkingattention to detaildocumentationoriginalityingenuity
Industry Insurance
Job Function Lead Azure-based data engineering efforts to deliver scalable, secure, and reliable data integrations and pipelines.
Role Subtype Data Engineer
Tech Domains Azure, Python, SQL / PostgreSQL, DevOps & SRE, Cloud & Infrastructure, Data & Analytics
Senior Data Engineerdata engineeringdata storagedata integrationdata transformationAzureAzure Data FactoryAzure SynapseADLSSQLPythonPowerShellETLdata warehousingdata modelingdata governancedata ingestion pipelinesnotebooksAPIsSFTP/FTPSSOAPRESTGitGithubCI/CDAgileDevOps

Advanced proficiency in SQL, Python, and PowerShell, Proven experience with Azure Resources (Azure Data Factory, Azure Synapse, ADLS, etc), Experience with Git/Github for CI/CD, Agile development and DevOps best practices experience, Bachelor’s degree or higher in Data Science, Mathematics, Statistics

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