Senior Data Engineer

New York
US$160000 - US$220000 per year + Great Benefits

Senior Data Engineer

Remote - Open to occasional travel into any one of the offices (Boston, Chicago, Nashville)

$160,000-$220,000 + Great Benefits

Harnham has partnered with a Health-Tech growth stage start-up brand that has been rapidly growing in the United States securing 1.5 billion in revenue so far and looking to do another 1.5 billion by next year. They are becoming a household name. They look to unify their data landscape to help drive growth for the business.

ROLE OVERVIEW

As the Senior Data Engineer, you will be a core member of the engineering team helping revolutionize the company platform. The Senior Data Engineer will be exposed to some of the most comprehensive datasets within the Health-Tech industry while building/designing scalable DW, Database infrastructure and platforms in a structured format that will allow data science/analytical teams unlock meaningful insights. This position is perfect for someone who loves a challenge and has come from a fast-growing company that has helped scale infrastructure, databases, and data warehouses to keep up with the companies growing data

REQUIRED SKILLS & EXPERIENCE

Essential Requirements:

  • The ability to think strategically about data architecture as the business scales
  • Computer science degree or substantial experience as a software engineer
  • Experience with relational databases - RDBMS, NoSQL, Cassandra, Etc
  • Exposure to events streaming - Kafka, etc.
  • Ability to build out data pipelines without the assistance of an ETL tool
  • Very strong coding skills - Python, SQL
  • Experience with analytics warehouses - OLAP
  • Strong cloud experience - AWS, Redshift

Bonus Points:

  • Experience working with Big Data technologies such as Spark or Hadoop
  • Experience with data related to social reviews
  • Management experience is not required, but will consider if still hands on coding day to day
  • Previously worked at a very fast growing start-up

RESPONSIBILITIES:

  • Think strategically about data architecture and how to scale it with the business as it grows
  • Building data platforms that allow their analysts to be self-serviced
  • Taking data from upwards of 20 different data sources and bringing them into the warehouse
  • Manufacturing execution system
  • Building pipelines around data related to social reviews
  • Work alongside the analytics and data science teams
  • Ingesting data from third party vendors
  • Both ad hoc and platform projects

BENEFITS

  • Competitive salary ranging from $160,000-$220,000
  • Great Benefits
  • Fast-paced
  • Diverse and collaborative team

Keywords: SQL, Python, AWS, Redshift, S3, Data Warehouse, Database, DW, Design, Platform, Pipelines, Infrastructure, Architecture, OLAP, NoSql, Cassandra, Kafka #ZR

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16653
New York
US$160000 - US$220000 per year + Great Benefits
  1. Permanent
  2. Big Data

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