Multiple positions available. Collaborate with engineers in conceptualizing, planning and executing medium-sized data engineering initiative working with a variety of stakeholders. Work with internal engineering and product teams to identify opportunities for improvements or feature enhancements to our data platforms and to improve overall engineering efficiency. Work on pipelines ingesting data greater than 1gb per second. Design and build data platforms and frameworks for processing high volumes of data, in real time as well as batch, that will be used across engineering teams. Drive self-time capabilities for the engineering teams to easily onboard their critical data workloads onto our platforms. Use strong communication skills (written and verbal) to coordinate with engineering, analytics, and other teams to assess the cost and value of existing and potential projects. Research and evaluate new technologies in the big data space to guide continuous improvement. Collaborate with multifunctional engineers across the company to help tune the performance of large data applications to drive cost savings. Work on initiatives to ensure stability, performance and reliability of company’s data infrastructure. Position allows telecommuting from anywhere in the U.S. Salary $160,000 - $265,000 per year.
MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Computer Engineering, Software Engineering, Computer Science and Information Technology, or related field, plus 5 years of professional experience as Software Engineer, Software Developer or any position/occupation/job title involving data software engineering. In lieu of a Bachelor’s degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Computer Engineering, Software Engineering, Computer Science and Information Technology, or related field, plus 3 years of professional experience as Software Engineer, Software Developer or any position/occupation/job title involving data software engineering.
Must also have experience in the following: 3 years of professional experience performing data software engineering (including leading and collaborating with Data Infrastructure, Data Engineering and Product teams across web and apps) using Java and Python; 3 years of professional experience working on big data systems and projects/products at scale for a global company; 3 years of professional experience handling large transaction volumes (at least 1 million transactions per second) of data and performing data queries using querying languages including SQL, deriving insights from the data, and strategizing future roadmap decisions based on those insights; 3 years of professional experience building data platforms using cloud native technologies (Docker and Kubernetes); 3 years of professional experience performing software engineering practices and employing best practices for the full software development life cycle (including coding standards, code reviews, source control management, build processes, testing, and operations).
CONTACT: Please email resume to: Lauren.Lozano@Match.com. Please specify ad code RNLL. #LI-DNI
Why Match Group?
Our mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life’s milestones. Here are some of the benefits we are proud to offer:
Mind & Body – Medical, mental health, and wellness benefits to support your overall health and well-being
Financial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security
Unplug – Generous PTO and 18 paid holidays so you can unplug
Career – Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work
Family – Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts
Company Gatherings – We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging!
We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected]. 
