Job Title: Senior Data Engineer

Company Name: RightsHelper

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/2aq6o6yke6o0ludz

Job Description: Posted 15h agoSenior Data Engineer@ RightsHelperView All JobsWebsiteUnited StatesRemoteFull TimeResponsibilities:Design pipelines, Develop pipelines, Improve observabilityRequirements Summary:7+ years in software or data engineering; experience building ETL/data pipelines; strong Python; deep AWS data infra; production-grade pipelines with logging and monitoring.Technical Tools Mentioned:Python, Apache Airflow, AWS (S3, ECS, Lambda, RDS, Redshift), Docker, PostgreSQL
SummaryWe are looking for a hands-on Senior Data Engineer with experience building scalable ETL and data platforms in modern cloud environments.In this role, you will help design and implement the next generation of our data pipelines, enabling our platform to process and analyze growing volumes of ticketing, market, and consumer data.Our existing pipelines contain significant domain expertise and business logic that power our analytics platform. You will work to translate and evolve this logic into a scalable, maintainable architecture using modern engineering practices.This is a high-impact role with significant ownership over how data moves through our platform and supports the machine learning systems that drive our products.Job FunctionDesign and implement the next generation of our core data pipelinesTranslate existing pipeline logic into a clean, maintainable architectureDevelop data pipelines in Python using modern best practicesImprove pipeline observability, logging, and failure recoveryWork with AWS services such as S3, Lambda, ECS, RDS, and/or RedshiftDesign and implement data validation, monitoring, and alertingCollaborate closely with leadership to define the future data architectureDocument pipeline design and operational workflowsOur Tech StackPythonApache AirflowAWS (S3, ECS, Lambda, RDS, Redshift)DockerPostgreSQLWhat Success Looks LikeBy the end of the engagement, you will have helped us:Deliver the next generation of our core ETL pipelines with a scalable and maintainable architectureImplement robust data validation, monitoring and observability across the data platformEnhance pipeline reliability, performance and operational visibilityRequirementsRequired Experience7+ years of software or data engineering experienceProven experience designing and building ETL/data pipelines from scratchStrong expertise with Python for data engineeringDeep familiarity with AWS data infrastructureExperience building production-grade pipelines with logging, monitoring, and error handlingNice to HaveExperience evolving existing data pipelines into scalable, production-grade data platformsExperience designing data quality / validation frameworksFamiliarity with data observability and SLAsExperience with analytics or sports dataExperience working in startup or small team environmentsBenefitsWhy This Role Is InterestingHigh ownership and architectural influenceWork directly with engineering leadershipSmall team with fast decision makingPotential to convert to a full-time leadership role