Senior Data Engineer

• Expertise working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Flink, Kafka, etc.) for building efficient & large-scale data pipelines.
• Software Engineering proficiency in at least one high-level programming language (Java, Scala, Python or equivalent).
• Experience building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others.
• Knowledge of multi-dimensional modeling like start schema, snowflakes, normalized and de-normalized models.
• Knowledge of flexible, scalable data models addressing a wide variety of consumption patterns including random-access, sequential access including necessary optimizations like bucketing,aggregating, sharding.
• Expertise in one or more NoSQL database (Neo4J, Mongo DB, Cassandra, HBase, DynamoDB, Big Table etc.).

• You are tenacious, relentless, & determined.
• You are curious: always learning new technologies, rapidly synthesizing new information, and understanding "the why" before "the what."
• You are self-directed and capable of operating amid ambiguity.
• You are poised and display excellent judgment in prioritizing across difficult tradeoffs.
• You are pragmatic: not letting "the perfect" be the enemy of "the good."
• You are humble, continually growing in self-awareness and possessing a growth mindset

• 7+ years in a Data Engineering role
• CS Bachelor's degree +

The US base salary range for this full-time position is $180,000-$220,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.