Data Engineer (Education)

Averity New York , NY 10005

Posted 4 days ago

Are you a Data Engineer who wants to utilize your talents to help foster the leaders of tomorrow? Do you want your work for a non-profit to help society? If yes, read on

Whats The job?

As a Data Engineer on our team, you will be tasked to take the lead on building out data pipelines from the ground up using Python.

The data youll be shaping will help improve and track academic performance across our array of award-winning educational facilities with the goal of creating the infrastructure to double our capacity. You will be processing the data with Spark / AWS.

This is a position where youll have a lot of insight into how we move forward as a team. We are very feedback-driven and value professional growth. If you feel it can be done better, youll be able to take ownership on steering us in that direction.

Who Are We?

We are an award-winning educational system founded in NYC, changing the game on how education can develop our leaders of tomorrow.

We have grown rapidly since our inception and are looking to double to outreach soon.

What Are We Looking For?

  • Data Pipeline background using Python

  • Experience with Spark & AWS

  • Someone who wants to take point on projects


  • $80-100K

  • Robust Full Benefits Package (Medical, Dental, Vision)

Whats In It For You?

If helping develop the leaders of tomorrow isn't enough, we also offer a robust benefits package (Medical, Dental, Vision, 20 Days PTO etc.).

You will be in an environment that allows for ownership on how we are going to move forward, you will be a key figure in shaping our direction.

See if you are a match!

See how well your resume matches up to this job - upload your resume now.

Find your dream job anywhere
with the LiveCareer app.
Download the
LiveCareer app and find
your dream job anywhere

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Data Platform Engineer Data Technologies

Q Systems

Posted Today

VIEW JOBS 11/12/2018 12:00:00 AM 2019-02-10T00:00 Data Platform Engineer - Data Technologies<br /> Princeton, NJ – USA<br /> <br /> Our company runs on data. It’s our business and our product. It’s why thousands of companies partner with us. We're nearing one petabyte and growing, with no end in sight. Our data captures the who, what, when, where and why our clients use our products.<br /> The Company’s Data Services Engineering team provides a distributed platform for hosting data sets, complete with managed data stores, search, analytics, and real-time stream processing capabilities. Our system scales to petabytes while offering low latency, high availability, and discoverability of data to clients. BBDS is designed to address the unique and evolving challenges in today’s financial systems.<br /> Do you enjoy solving intricate engineering problems? Like the challenge of building real-time, large-scale systems? Are you the type of developer who digs in at the lower levels and demands to understand how software systems work? Do you strive to write meticulous and maintainable code that accounts for all possible failures? If this sounds like you, we’re interested in speaking to you!<br /> As an engineer in Data Technologies, you’ll be responsible for the systems that onboard all the referential data that drive the company's applications and enterprise systems. As our clients are shifting more and more to rely on machines to interpret data and drive insights, we are utilizing cutting edge technologies to deliver unparalleled data quality. By joining Data Technologies, you will help us improve the accuracy, coverage, timeliness, and accessibility of our data to service our clients across all of our products. Learn more about the Data Technologies teams at Princeton here:<br /> <br /> You’ll need to have:<br /> <br /> •     A background in Computer Science, Engineering, or Math.<br /> •     4+ years of professional experience in Java/Scala with deep knowledge of the JVM.- Experience designing services that scale to millions of requests a second.- Proficiency in Linux, kernel subsystems, TCP/IP.<br /> •     Knowledge of database internals (e.g. MySQL), transactions, clustering, sharding, and replication.<br /> •     Experience in software instrumentation for monitoring and observability.<br /> •     Software best practices: automated testing, continuous integration, and documentation. Experience with containers and cluster managers is a plus, e.g. Docker, Mesos, Kubernetes.<br /> •     BA, BS, MS, PhD in Computer Science, Engineering or related technology field<br /> <br />   Q Systems New York NY

Data Engineer (Education)