Data Engineer - Hiring Now

pstrongOther Accepted Location:/strong/ppBoulder, CO (hybrid 50% onsite)/ppstrongResponsibilities:/strong/ppAs a Data Engineer, you will play a critical role in helping define and grow processes, methods, and outcomes for using data engineering to build robust data sources and pipelines for deriving actionable user experience insights. You will play a pivotal role of working with a cross functional group of leaders and individuals in evolving scalable data solutions. You will work closely with data scientists and data analysts to build a firm foundation of accessible data that is leveraged to make improvements to existing products./ppOur ideal candidate is an experienced data engineer who is passionate about data and has a track record of building rich, durable data pipelines that meet the business needs. You have the curiosity and self-motivation to continuously learn new techniques and tools to enhance our data structures and data processing. You are a strong communicator, collaborator, and cross functional partner.nbsp;/pulliBuild test and implement Data Engineering ndash; ETL, Data Integrations, Data Governance, Data Quality/liliBuild reusable Data Engineering assets and frameworks/liliIdentify opportunities to use existing data from multiple sources to inform data governance and strategy/liliWork closely with Data Scientists, Product Managers, and Data Strategy leads to understand ETL / Data Integration and Engineering requirements, design, test and implement appropriate data engineering solutions./liliPipeline complex data from a variety of sources using diverse set of tools and techniques. nbsp;/liliEnable the development of key UX metrics to provide actionable insights to improve the user experience.nbsp;/li/ulpstrongBasic Qualifications:/strong/pulliBachelorrsquo;s degree or equivalent experience in computer science, applied math, physics, engineering, statistics, economics or related field./lili3+ years of industry experience in Data Engineering/lili3+ years of work experience including hands-on technical experience with SQL, Python, PySpark, Jupyter Notebook, database design, and ETL processes/liliThe ideal candidate will have proven experience on building modern data pipelines - Ingestion, Profiling, Integration, Summarization / Aggregation, Logging, DAG/liliYou have strong experience building Data Quality frameworks and performing Exploratory Data Analysis (EDA)/liliYou have proven hands-on experience with cloud-based data warehousing / data lake platforms such as AWS S3, GitRepo, Lambda/li/ulpstrongOther Qualifications:/strong/pulliMasterrsquo;s degree or PhD in Statistics, Economics, Psychology, Applied Math, Physics, Computer Science or other related field./lili2+ years of industry experience in data engineering focused on enhancing products and driving innovation./liliAbility to communicate impact of data enhancements and influence teams and leaders./liliCreative thinker able to apply first-principles reasoning to solve complex problems./li/ulpThis is the pay range that Magnit reasonably expects to pay for this position: $50.00/hour-$66.00/hour/ppBenefits: Medical, Dental, Vision, 401Knbsp;/p