Senior Data Engineer, Dating Outcomes at Match Group

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

5+ years of professional/industry experience in data engineering, delivering data products from conception to delivery and supporting their underlying infrastructure
Strong technical background in building and optimizing data pipelines, with proficiency in Python, SQL, and data modeling for different types of data sources and business processes
Technical expertise in the following: Python, Go, Kubernetes, Docker, Terraform, CircleCI, GitHub Actions, Kafka, PubSub, Dataflow, Redshift, BigQuery, Databricks, dbt, Looker
Experience with cloud environments such as GCP, AWS, or Azure
Strong communication skills (written and verbal), with an ability to work collaboratively with cross-functional teams, including backend engineering, data science, and product teams
Effective analytical, troubleshooting, and problem-solving skills, ensuring data systems operate efficiently and meet business needs
Mentorship experience, with a focus on guiding junior data engineers and contributing to team growth through knowledge-sharing and code reviews
A degree in computer science, engineering, or a related field

Responsibilities

Design, build, and optimize data pipelines that support critical foundational, cross-cutting product services, empowering the product team to make informed decisions
Drive advancements in our Data Engineering stack by implementing containerization, refining data modeling techniques, and evolving ETL pipeline development to support emerging business needs and scalability requirements
Leverage your data modeling expertise to design, build, and maintain our analytics data warehouse that delivers reliable, high-quality datasets for reporting, analytics, and machine learning purposes, supporting both short-term insights and long-term strategic initiatives
Advocate for Data Engineering best practices within the team, championing their adoption and supporting the continuous improvement of the team's capabilities
Work with stakeholders across the organization to understand their data needs and translate these needs into actionable data solutions
Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines
Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations

Skills

Data Pipelines

ETL

Data Modeling

Containerization

Data Warehouse

Analytics

Machine Learning

Match Group

Provides online dating and social discovery

About Match Group

Match Group leverages the Swipe feature® and social discovery, facilitating deeper connections through its portfolio of online dating brands, with a global presence and availability in over 40 languages.

Dallas, TexasHeadquarters

1986Year Founded

$400MTotal Funding

IPOCompany Stage

Consumer Software, Social ImpactIndustries

1,001-5,000Employees