Senior Data Engineer

Independence Pet Group

Senior Data Engineer collaborating with business stakeholders to implement analytics solutions. Requires a bachelor's degree and 3 years of relevant analytics experience.

Posted 6/18/2026full-timeRemote • Arizona • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudSQLSSIS

About the role

Key responsibilities & impact

Collaborate with business stakeholders to understand business strategy and needs, anticipate requirements, uncovering areas for improvement and implementing solutions
Conduct thorough analysis of requests to assess feasibility, impact and alignment with strategic goals
Perform detailed requirements analysis, including definition of objectives, scope, business value and success criteria
Create clear and concise requests and project documentation, such as business cases and plans
Facilitate prioritization sessions with key stakeholders, including senior marketing team members, to evaluate and rank requests based on business value, urgency and available resources
Develop and maintain strong relationships with stakeholders to understand needs, gather feedback and ensure alignment between business objectives and analytics initiatives
Communicate project priorities and timelines effectively to cross-functional teams
Work closely within the EDO to define deliverables, create data requirements and define or recommend analytical methodologies
Provide guidance and support to EDO pods throughout development cycle
Review and validate analytical outputs, ensuring accuracy, consistency and alignment with business requirements
Serve as a liaison between EDO team and business stakeholders
Monitor project progress and timelines using Azure DevOps and PowerBI, proactively identifying and addressing potential roadblocks or delays
Prepare regular project status reports and communicate updates to stakeholders
Conduct post-delivery evaluations to assess performance, identifying areas for improvement and capturing lessons learned for future initiatives

Requirements

What you’ll need

Bachelor’s degree or equivalent in Computer Science, Information Systems/Technology, Computer Engineering, Business Analytics, Management Information Systems or related field of study
3 years of experience in Marketing Analytics, Business Analytics or related data analytics position
Demonstrated experience with troubleshooting and enhancing an undocumented legacy Snowflake Data Warehouse environment
Working in a data system-agnostic environment, hands-on expertise in data warehousing platforms including Snowflake, Databricks, and SQL Server
Deploying and managing Azure cloud resources, including Data Lakes, Integration Runtimes, Azure Data Factory, and related services
Domain-specific data modeling approaches to model data tables tailored to the pet insurance industry
Designing and implementing scalable, metadata-driven, multi-source Azure Data Factory pipelines connecting to diverse data sources across multiple cloud tenants
Maintaining and updating SSIS packages based on business logic and use cases
Building Azure Functions and Logic Apps to ingest data from irregular sources
dbt core, including developing, deploying, and operationalizing code that processes thousands of tables within an enterprise data warehouse
Development practices using Visual Studio Code, including branching strategies, code merging, and managing interdependent projects across multiple repositories
Azure DevOps release pipelines, including creating, troubleshooting, and modifying pipelines for code deployment, automated testing, and documentation generation
Querying APIs across various systems to ingest external data into the Snowflake environment

Benefits

Comp & perks

100% remote
Accommodations are available upon request for candidates participating in all aspects of the selection process

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticsmarketing analyticsbusiness analyticsdata warehousingSQLAzure Data FactorySnowflakeDatabricksSSISdbt

Soft Skills

collaborationcommunicationstakeholder managementprioritizationanalytical thinkingproblem-solvingrelationship buildingproject managementdocumentationfeedback gathering