Data Engineer

Data Engineer #2640Position Summary:Our partner is a technology company building a scalable platform for cities and organizations to manage parking, payments, permits, and mobility operations. Their platform is driven by real-time data an d integrations across multiple systems. They are expanding their team with a Data Engineer to help modernize a slow, unstructured data environment. This person will focus on building pipelines, improving orchestration, and creating a stronger data foundation to support faster, more reliable decision making.This is an opportunity to step into a data environment that is still taking shape and help define how it should work. You would focus on building the foundation of a modern data platform, designing how data moves, how it is structured, and how it becomes usable across the business. The work includes creating scalable pipelines, replacing manual processes, and improving access to data that supports real-world operations. It requires someone who can assess what exists, identify gaps, and move forward with practical solutions.Experience and Education:Background working in data engineering within evolving or unstructured environmentsAbility to work directly with business stakeholders to gather requirements and translate operational needs into scalable technical solutionsProven success designing and supporting data platforms that integrate information from multiple internal systems, external APIs, and third-party vendorsPrior work building or redesigning data pipelines from ingestion through deliveryExposure to organizations modernizing legacy data processes and platformsFamiliarity with cloud-based data ecosystems and distributed data architecturesExperience evaluating technical tradeoffs and recommending scalable approaches based on business objectivesExperience in smaller or mid-sized organizations where adaptability, ownership, and problem-solving were critical to successSkills and Strengths:PythonSQLData pipelinesETLELTWorkflow orchestrationAirflowAPI ingestionData modelingData warehousingSnowflakeRedshiftData qualityData transformationData architecture fundamentalsBusiness requirements analysisCloud computingAWSSystem designProduct MindsetPerformance optimizationProblem solvingPrimary Job Responsibilities:Work closely with business and technology leaders to translate loosely defined requirements into scalable data solutionsEvaluate existing data processes and recommend improvements based on proven industry practices and business needsDesign and build modern data pipelines that ingest, transform, and deliver data across multiple systemsIntegrate data from internal applications, external APIs, and third-party vendors into a unified and reliable platformReplace manual and cron-based processes with scalable orchestration and workflow management solutionsImprove data quality, consistency, and reliability across a diverse set of data sourcesStructure and model data to improve accessibility, usability, and long-term scalabilityContribute to the design and evolution of a modern data platform that supports real-time and near-real-time data accessAnalyze system performance, identify bottlenecks, and optimize data processing to improve business visibility and decision-makingCollaborate with leadership on technical strategy, architecture decisions, and platform directionSupport reporting, analytics, operational insights, and future data science initiatives through well-structured and accessible dataOperate effectively in an evolving environment that requires ownership, adaptability, strong communication, and problem-solving skills