Data Engineer Tech/Team Lead
We’re Grubhub, the nation’s leading online and mobile food ordering company. Since 2004 we’ve been connecting hungry diners to the local restaurants they love. We’re moving eating forward with no signs of slowing down.
With more than 85,000 restaurants and over 15.6 million diners across 1,600 U.S. cities and London, we’re delivering like never before. Incredible tech is our bread and butter, but amazing people are our secret ingredient. Rigorously analytical and customer-obsessed, our employees develop the fresh ideas and brilliant programs that keep our brands going and growing.
Long story short, keeping our people happy, challenged and well-fed is priority one. Interested? Let’s talk. We’re eager to show you what we bring to the table.
Some Challenges You’ll Tackle
- Lead/drive data engineering initiatives from a technical lead standpoint
- Oversee project work and mentor junior and mid-level team members
- Develop compelling PoC’s for data solutions using emerging technologies for real-time and big data ingestion and processing
- Contribute to designing, building, and deploying high-performance production platforms/infrastructure to support data warehousing, real-time ETL, and and batch big-data processing; help define standards and best practices for enterprise usage
- Design, build, and maintain processes and components of a streaming data/ETL pipeline to support real-time analytics (from requirements to data transformation, data modeling, metric definition, reporting, etc)
- Focus on data quality - detect data/analytics quality issues all the way down to root cause, and implement fixes and data audits to prevent/capture such issues
- Collaborate with data scientists to design and develop processes to further business unit and company-wide data science initiatives on a common data platform
- Translate business analytic needs into enterprise data models and ETL processes to populate them
You Should Have
- 10+ years of data engineering experience building high performance big data pipeline & working in near real-time streaming environments
- 2+ years in a technical leadership role
- Strong programming experience: Java (required), Scala (required), Python (optional)
- Experience with big data technologies (Spark, Kinesis/Kafka, Apache Beam, Hive, Hadoop/MapReduce, etc)
- Familiarity with various data storage format: Parquet, ORC, Avro, Protobuf, etc.
- Experience querying and bulk reading NoSQL databases: Cassandra (preferred), DynamoDB, HBase
- Experience working within the Amazon Web Services (AWS) ecosystem (S3, EMR, EC2, Kinesis, etc)
- Experience working within agile software engineering methodologies
- Strong analysis and communication skills required
- Bachelors in Technology, Science, Statistics or Math degree preferred
Got These? Even Better
- Experience with continuous delivery for big data project
- Familiarity with statistical methods and experimentation (A/B testing)
- Exposure to machine learning technology deployment (e.g. Tensorflow, MxNet, distributed GPU computing, etc)
And Of Course, Perks!
- Unlimited paid vacation days. Choose how your time is spent.
- Never go hungry! We provide weekly GrubHub/Seamless credit.
- Regular in-office social events, including happy hours, wine tastings, karaoke, bingo with prizes and more.
- Company-Wide Initiatives encouraging innovation, continuous learning and cross-department connections.
We deliver favorites every day. Join us as we move eating forward.