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Data Engineer
Data EngineerLendingTree • Seattle, Oregon, USA
Data Engineer

Data Engineer

LendingTree • Seattle, Oregon, USA
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]
  • PLEASE NOTE : We offer a hybrid 3-2 work schedule at our Seattle office (Three days in the office two days of teleworking) to accommodate the need for flexibility.
  • Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
  • QuoteWizardbyLendingTree is seeking a Data Engineerto joinourData Engineeringteam. We have an exciting opportunity todeliver a near real-time data lake and low-latency data warehouse using world classcloud data tools and platforms including Engineeringprovides asoliddata foundation for analytics and machine learning teamsthat drive business decisions andstrategythat power customer journeys acrossmultiple CRM platforms.

    We are seeking a dataengineerwho will be passionate about building streaming data pipelinesandwill partner withour businesstechnologyarchitects andoperationssoftware engineersanalystsdata scientistsand senior leaders to develop and implementsolutionsto meet critical data / analytic related business needs and capabilities while implementing technologies platformsand tools aligned to LendingTrees data strategy.

    RESPONSIBILITIES

    • Create real-time streaming data solutions.
    • Implement large scale high-performance data analytics and data integration platforms.
    • Design and developETL solutions.
    • Design and develop frameworks and other approaches for rapid development of high-quality data and reporting solutions.
    • Perform complex data analysis toidentifytrends patterns and opportunities.
    • Design develop and support database applications spanning multiple lines of business.
    • Consulton database design and code reviews across the organization as needed.
    • Evaluate performance and performappropriate troubleshootingas necessary.
    • Work with business users to understand project requirements and resolve issues.
    • Craft andmaintaintechnical documents including educational materials standards and best practices.
    • Participate in on-call rotation for off-hourssupport.
    • Collaborate effectively across various departments and teams to implement solutions.
    • Collaborate ontheproduct roadmap for data engineering to define capabilities of the platforms and services and delivery timelines.
    • QUALIFICATIONS

    • 5 years of experience with highly scalable distributedtransactionalplatforms.
    • 5 years of experienceindata warehousingandETL development
    • Expert in SQL optimizationquery writingand debugging
    • Experience designing and implementingtransactional databasesdata lakesanddata warehouses.
    • Knowledge of data warehousing industry standards and standard methodologies.
    • Understand dimensionaland transactionaldatabase modeling.
    • Excellent data presentation skillsutilizingdashboards and other technologies.
    • Excellent verbal and written communication skills.
    • Design and implement projects with minimal guidance.
    • Experience with Agile methodologies.
    • Dedication to being a phenomenal teammate - sharing success and struggles equally.
    • Experience collaboratingwith dataand softwareengineers by sharing knowledge pairing mobbing designing solutions together and code reviewing one anothers work.
    • Passion for learning and implementing new tools and supporting standard methodologies.
    • PREFERRED EXPERIENCE

    • B.S. in Computer ScienceMathematicsor equivalent
    • Experience working with Snowflake
    • Experience with data visualization tools such as Power BI
    • Experience working withmodern ETL tools
    • Experience with scripting languages like PowerShell
    • Experience with programming languages such as Python C#
    • Experience withGit / GitHub / GitLab
    • Experience with Azure Dev Ops / Jira
    • COMPANY

      QuoteWizard a LendingTree company is a dynamic insurance lead generation agency based in Seattle. We have been ranked by the INC 500 as one of the fastest growing private companies in the nation. We have also been listed by the Puget Sound Business Journal as a top company in Seattle.

      What you should know about LendingTree our parent company :

    • Were a publicly-traded company (TREE).
    • Weve welcomed several other companies into the LendingTree family to augment our efforts at helping borrowers make their most sensible financial choices.
    • Weve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.
    • Benefits : Medical dental vision insurance 401(k) matching life insurance pet insurance and a competitive PTO (paid time off) policy

      The base pay range for this position in Colorado / New York / California is $00 however base pay offered may vary depending on job-related knowledge skills and experience

      CULTURE

      Were a fast-paced company with an entrepreneurial bend. We work hard and test our products often. Were collaborative ambitious candid and high-energy. Our teammates are some of the brightest most talented people youll ever work with. We care more about your smarts than we do about the kinds of clothes you wear (but please do wear clothes to work!) and were pretty good about rewarding innovation creativity and the knack for just getting stuff done (we even have an award for employees called the GSD Get Stuff Done).

      Come work with us!

      QuoteWizard by LendingTree is the kind of company that not only promotes diversity and inclusion; we thrive because of these values. We do not discriminate based on race color religion (or creed) gender gender expression age national origin disability marital status sexual orientation or military status.

      This is an opportunity for full-time employment. Please no third parties or Corp to Corp.

      CCPA Disclosure

      Required Experience :

      IC

      Key Skills

      Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

      Employment Type : Full Time

      Experience : years

      Vacancy : 1

      Monthly Salary Salary : 105000 - 125000

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