Data Engineer

Ready to take the next step as a Data Engineer in Westbrook, Maine? Do you enjoy building scalable data pipelines, solving complex SQL challenges, and transforming raw data into trusted datasets that power analytics, machine learning, and AI-driven decision-making? If you're energized by modern cloud data platforms, collaborative engineering teams, and the opportunity to make a direct impact on data and AI initiatives, ProSearch is partnering with an innovative client to find a Data Engineer who can help deliver reliable, production-ready data solutions.This hybrid opportunity is ideal for professionals with experience in SQL, data engineering, ETL/ELT development, data warehousing, Databricks, Snowflake, AWS, and dbt who enjoy building and enhancing data pipelines that support analytics, machine learning, and advanced research initiatives. You'll join a highly collaborative Data & AI team that values technical excellence, continuous learning, and teamwork.The OpportunityThis position supports a high-performing Data & AI Center of Excellence, where you'll work alongside Data Scientists, Machine Learning Engineers, Analysts, and fellow Data Engineers to deliver high-quality data solutions that enable innovation.Rather than building a platform from scratch, you'll focus on improving, modernizing, and scaling existing data processes. You'll take legacy scripts, manual workflows, and partially developed solutions and transform them into reliable, maintainable, and production-ready data pipelines.This is an excellent opportunity for a Data Engineer with approximately 2-4 years of experience who wants hands-on exposure to modern cloud technologies, machine learning workflows, and enterprise-scale data engineering practices.What You Will DoData Engineering & Pipeline DevelopmentDesign, build, and maintain robust data pipelines that collect, transform, and deliver structured dataDevelop SQL-based transformation logic and pipeline workflowsSupport end-to-end ELT processes following modern data architecture patternsContribute to data modeling, transformation, testing, deployment, and documentationConvert one-off scripts and manual processes into scalable, reusable solutionsBuild and maintain dbt models, tests, and pipeline componentsMonitor data quality and pipeline performance and proactively identify issuesCloud Data Platforms & AnalyticsDevelop pipelines within modern cloud platforms such as Databricks, Snowflake, AWS, or similar environmentsWork with structured and semi-structured data sourcesSupport batch and streaming ingestion workflowsManage schema evolution and file ingestion processes involving Parquet and JSON formatsContribute to data lineage and governance practicesCollaboration & DeliveryPartner closely with Machine Learning Engineers, Data Scientists, and Data AnalystsSupport data preparation for algorithm development and model trainingParticipate in GitHub-based version control and CI/CD deployment workflowsFollow established engineering standards, reusable patterns, and team best practicesContribute to a culture of documentation, collaboration, and continuous improvementWhat We Are Looking ForRequired QualificationsBachelor's degree or equivalent combination of education and experience2-4 years of experience in Data Engineering, Data Analytics, or a related technical fieldAdvanced SQL skills with experience supporting data transformation and pipeline developmentStrong understanding of data warehousing concepts and ELT/ETL methodologiesExperience building data pipelines on platforms such as Databricks, Snowflake, AWS, or similar cloud environmentsExperience with testing, deployment, data modeling, and documentation practicesExperience using GitHub or similar version control toolsStrong communication and collaboration skillsPreferred QualificationsHands-on experience with dbt Core or dbt CloudExperience with Spark SQL and PythonExperience with streaming data pipelines and event-driven architecturesFamiliarity with schema evolution managementExperience working with Parquet and JSON file formatsExposure to machine learning, analytics, or AI-related data workflowsWhat Success Looks LikeSuccessful candidates quickly become productive in SQL-based development, learn the team's data architecture and engineering standards, and contribute meaningful improvements to existing pipelines and workflows.You'll develop reliable, scalable solutions that improve data quality, streamline processing, and enable Machine Learning Engineers and Data Scientists to build and train high-quality models with confidence.Location RequirementsHybrid role based in Westbrook, MaineApproximately eight onsite days per monthTuesdays are the team's primary in-office collaboration dayLocal candidates onlyWhy This Role Stands OutWork on meaningful analytics and AI-driven projectsCollaborate directly with Data Scientists and Machine Learning EngineersGain exposure to Databricks, dbt, cloud data platforms, and modern data engineering practicesJoin a highly collaborative Data & AI organizationOpportunity to modernize and improve enterprise data pipelinesHybrid work schedule with strong team engagementReady to Apply?This role is ideal for a Data Engineer, Analytics Engineer, ETL Developer, SQL Developer, or Data Platform Engineer who enjoys solving complex data challenges, building reliable data pipelines, and working with modern cloud data technologies.If you're a Data Engineer in Westbrook, Maine seeking an opportunity to develop your skills in SQL, Databricks, dbt, data warehousing, and machine learning data pipelines, we'd love to connect.Apply through ProSearch today to start a confidential conversation about this exciting opportunity.Compensation: $45-$60/hourSalary Range Disclaimer: The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. Compensation may also vary based on where a role is performed.