Big Data Engineer – Detroit, MI

Big Data Engineer

The Rock Family of Companies is made up of nearly 100 separate businesses spanning fintech, sports, entertainment, real estate, startups and more. We’re united by our culture – a drive to find a better way that fuels our commitment to our clients, our community and our team members. We believe in and build inclusive workplaces, where every voice is heard and diverse perspectives are welcomed. Working for a company in the Family is about more than just a job – it’s about having the opportunity to become the best version of yourself.The Big Data Engineer is responsible for engaging in the design, development and maintenance of the big data platform and solutions at Quicken Loans. This includes the platform host data sets that support various business operations and enable data-driven decisions as well as the analytical solutions that provide visibility and decision support using big data technologies. The Big Data Engineer is responsible for administering a Hadoop cluster, developing data integration solutions, resolving technical issues, and working with Data Scientists, Business Analysts, System Administrators and Data Architects to ensure the platform meets business demands. This team member also ensures that solutions are scalable, include necessary monitoring, and adhere to best practices and guidelines. The Big Data Engineer helps mentor new team members and continues to grow their knowledge of new technologies.ResponsibilitiesDevelop ELT processes from various data repositories and APIs across the enterprise, ensuring data quality and process efficiencyDevelop data processing scripts using SparkDevelop relational and NoSQL data models to help conform data to meet users’ needs using Hive and HBaseIntegrate platform into the existing enterprise data warehouse and various operational systemsDevelop administration processes to monitor cluster performance, resource usage, backup and mirroring to ensure a highly available platformAddress performance and scalability issues in a large-scale data lake environmentProvide big data platform support and issue resolutions to Data Scientists and fellow engineersRequirementsMaster’s degree in computer science, software engineering or a closely related field2 years of experience with Hadoop distribution and ecosystem tools such as Hive, Spark, NiFi and Oozie2 years of experience developing batch and streaming ETL processes2 years of experience with relational and NoSQL databases, including modeling and writing complex queriesProficiency in at least one programming language, such as Python or JavaExperience with Linux system administration, scripting and basic network skillsExcellent communication, analytical and problem-solving skillsWho We AreWe’re America’s largest mortgage lender, closing loans in all 50 states. J.D. Power ranked Quicken Loans “Highest in Customer Satisfaction in Primary Mortgage Origination” for the past nine consecutive years, 2010 – 2018. The company was also ranked highest in the nation for client satisfaction among mortgage servicers by J.D. Power for five consecutive years, 2014 through 2018, each year the company was eligible. There’s a simple reason we’ve been so successful: We care about the people we work with.If you’re tired of stuffy, bureaucratic workplaces, then you’ll be delighted to find something different here. We strive to make a creative, fun and collaborative environment you simply won’t find anywhere else. Quicken Loans was named #1 in ESSENCE Magazine’s first ever list of “Best Places to Work for African Americans” in 2015. We’ve been on Computerworld’s “Best Places to Work in IT” list for 13 years running, hitting #1 the last five years. We were also ranked #14 in FORTUNE Magazine’s list of “100 Best Companies to Work For” in 2018, remaining in the top-30 for the past 15 years.The Company is an Equal Employment Opportunity employer, and does not discriminate in any hiring or employment practices. The Company provides reasonable accommodations to qualified individuals with disabilities in accordance with state and federal law. Applicants requiring reasonable accommodation in completing the application and/or participating in the employment application process should notify a representative of the Human Resources Team


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