Data Engineer

New York, NY 10010 | Direct Hire

Post Date: 03/26/2018 Job ID: 9936 Industry: Technology

Title: Data Engineer

Location: NYC

Status: Full time - direct hire

Salary: $150, 000 

A wellness company in New York City is presently looking for a Data Engineer to add to their growing team.  This is an excellent opportunity for a Data Engineer to join an established, and growing, wellness client in New York City. 

You will be responsible for:
  • Data Engineering (GCP or AWS)
  • Programming in Scala, Python or Java
  • Buidling data pipelines using Apache Bean or Apache Spark

  • Work closely with our data scientists to help build complex algorithms that provide unique insights into our data.
  • Build data pipelines that clean, transform and aggregate data from many different sources.
  • Develop models that can be used to make predictions.
  • Build complex functions that answer questions for the business.
  • Model data at rest and enable powerful data analysis.
  • Enable machine learning, natural language processing and other data science methods.
  • Work with engineers across the organization to identify data quality issues in source systems and help keep the data clean.
  • Provide solutions that help share data with the enterprise.
  • Be an advocate for best practices and continued learning. 

You should have:
  • Experience with a Cloud Data Platform such as GCP or AWS
    • If GCP: Big Query, Cloud Dataflow, Cloud Dataproc, Pub/Sub
    • If AWS: Redshift, EMR, Datapipeline, RDS, Lambda, and Kinesis.
  • Experience programming in Scala, Python, or Java.
  • Experience building data pipelines using Apache Beam or Apache Spark.
  • Experience with some of the following data stores: Big Query, Redshift, Postgres, Cassandra, or Mongo.

It would be great if you also have:
  • Experience with real time streaming solutions such as Kinesis, Pub/Sub, or Kafka.
  • Large scale Data Modeling from a Modern Big Data perspective.
  • Experience producing and consuming event driven data.
  • Experience working on a data team building functions, models and complex algorithms

The opportunity to work with some of the best innovators in the industry.
  • Generous healthcare coverage.
  • 401(K) with company match.
  • Paid Time Off
  • Paid parental leave
  • Tuition reimbursement
  • Wellness allowance
  • Profit Sharing
  • Plus, the resources to locate services including child care, legal services, pet care and more

If you feel you are a fit for this role please send your email to or apply at

Gillian Rummler

Fun Facts: Loves to snowboard, Huge fan of the Green Bay Packers and lover of all things Fast and the Furious.

If you feel like you are the right fit for the job above, please click the apply online button below and I will be sure to reach out ASAP!

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