Data Engineer | Manhattan, NY

Manhattan, New York
US$190000 - US$210000 per year

Based in New York City is a Series F technology company and the industry leading location intelligence platform. They are currently growing out their Pinpoint and Attribution teams, and they're looking for a Senior Data Engineer to join their growth!

THE COMPANY

Our client has 250+ employees, offering the start up culture everyone desires. The company's NY office is in a beautiful building in the Chelsea area. This client is a technology company that enriches consumer experiences & informs business decisions through a deep understanding of location.

THE ROLE

In this Senior Data Engineer role, you will execute the strategic development of data and analytics solutions by building throughput data pipelines and improve existing infrastructure. You will work directly with a team of data engineers and scientist's team to develop, build, and deploy efficient data pipelines into production. They are seeking the best engineering talent on the market and are keen to have you happily on board for the long term. You will have the desire to work in an innovative, fast-paced environment and the ability to work with lots of data.

You will be involved in the following:

  • Develop, build, and deploy efficient data pipelines into production using Hadoop or Spark.
  • Working with large sets of data and challenges daily
  • Partner with Data Science team to implement advanced statistical models and Machine Learning pipelines
  • Work with a self-starter attitude with an attention to detail

YOUR SKILLS AND EXPERIENCE

  • Bachelor's or Master's degree in a discipline such as Computer Science, Engineering, Data Science or similar field
  • Expertise with data management in big-data platforms such as Hadoop or Spark
  • Expertise in either Scala or Java
  • Strong communication skills with an ability to present your thoughts and solutions, and resolve problems in a highly professional manner is highly important
  • Experience in Machine Learning is preferred, as well as Ad-Tech experience

THE BENEFITS

A competitive base salary of $150,000 - $210,000 plus great benefits.

HOW TO APPLY

Please register your interest by sending your résumé to Thomas Daughtrey V via the Apply link on this page.

KEYWORDS

Engineer | Python | AWS | ETL | Hadoop | Engineering | Scala | Storm | Data | Analytics | Spark | Big Data

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H032119TD1
Manhattan, New York
US$190000 - US$210000 per year
  1. Permanent
  2. Big Data

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Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

A Data Engineer is a Unique Blend of Data Professional

From startup and small business to large enterprises, each type of business requires a unique blend of Data professional. Though in today’s world, much of the Data being gathered, catalogued, and analyzed happens both in the Cloud and on a hard drive, each type of business has a different need, budget, goals, and objectives. But there is one thing each and every business will have in common. At the heart of the Data team will be a Data Engineer. The Three Main Roles of a Data Engineer This is an analytics role in high demand. It is a growing and lucrative field with steps and stages for nearly every level of business and education experience. For example, a Data Scientist interested in stepping into a Data Engineer role might begin as a Generalist. In all, there are three main roles for each level and type of business – Generalist, Pipeline-Centric, and Data-Centric. Let’s take a quick look at each of the roles with an eye toward the type of person who might be the best fit: Generalist – Most often found on a small team, this type of Data Engineer is most likely the only Data-focused person in the company. They may have to do everything from build the system to analyze it, and while it carries its own unique set of skills, it doesn’t require heavy architecture knowledge as smaller companies may not yet be focusing on scale. In a nutshell, this might be a good entry point for a Data Scientist interested in upskilling and reskilling themselves to transition into a Data Engineering role.Pipeline-centric – This focus requires more in-depth knowledge working with more complex Data science needs. This type of role is found more often in mid-sized companies as they grow and incorporate a team of Data professionals to help analyze and offer actionable insight for the business. In a nutshell, this role creates a useful format for analysts to gather, collect, and analyze each bit of Data at each stage of development.Database-centric – This role is found most often in larger companies and deals not only with Data warehouses, but is focused on setting up analytics databases. Though there are some elements of the pipeline, this is more fine-tuned. In a nutshell, this role deals with many analysts across a wide distribution of databases. A Fine Balance Between Technical Skills, Soft Skills, and Business Acumen While it’s important for anyone filing this role to have deep knowledge of database design as well as a variety of programming languages, its equally important to understand company objectives. In other words, once the groundwork is laid and the datasets established, it’ll be important to explain what it is the business executives need to know to make the best decisions for their business.  Knowing how and what to communicate to executives, stakeholders, and your Data team also means understanding how to best retrieve and optimize the information for reporting. Depending on your organization’s size, you may need both a Data Analyst or Scientist and a Data Engineer. Though this is less likely in medium and larger enterprises. On the flip side, in order to understand the business’ needs, you’ll also need to be good at creating reliable pipelines, architecting systems and Data stores, and collaborating with your Data Science team to build the right solutions. Each of these skills are meant to help you understand concepts to build real-world systems no matter the size of your business. One Final Thought… Do you like to build things? Tweak systems? Take things apart and see how they work, then put them back together better and more efficient than before? Then Data Engineering might be for you. Are you a business who knows you’re ready to scale up and hire a Data professional? We have a strong candidate pool and may have just the person you need to fill your role. Are you a candidate looking for a role in big Data and analytics? We specialize in junior and senior roles. Check out our current vacancies or contact one of our recruitment consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com.

The Harnham 2019 Data & Analytics Salary Guide Has Arrived

We are thrilled to announce the launch of our 2019 Data & Analytics Salary Guide. With over 1,500 respondents across the USA, this year’s guide is our largest and most insightful yet.  Looking at your responses, it is overwhelmingly clear that the Data & Analytics industry is continuing to thrive. This has led to an incredibly active market with 72% in the US willing to leave their role for the right opportunity.  Salary expectations remain high, although we’re seeing that candidates, on average, expect 10% more than they actually achieve when moving between roles.  We’ve also seen a change in the reasons people give for leaving a position, with a lack of career progression overtaking an uncompetitive salary as the main reason for seeking a change.   There also remains plenty of room for industry improvement when looking at gender parity; the US market is only 23% female, falling to 17% in Data Engineering roles and 16% in the Data Science space.  In addition to our findings, the guide also include insights into a variety of markets and recommendations for both those hiring, and those seeking a new role.  You can download your copy of the guide here.

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