Data Engineer

Company:
Location: New York, NY 10007

*** Mention DataYoshi when applying ***

Everplans is on a mission to help people better prepare for the future by getting their lives organized today.

We're an NYC-based startup technology company recently acquired by National Guardian Life Insurance Company (NGL) that helps people organize, share, and keep all the critical information, wishes, and documents they need, and that their family may need, up-to-date and at their fingertips. Through a combination of original content, a personalized guidance engine, and an intuitive digital vault, people can say goodbye to sticky notes around the computer, old file folders underneath the bed, and out-of-date paperwork.

Everplans is primarily distributed via financial professionals to their clients, through insurance and financial services organizations to their policyholders and customers, and as a benefit employers can offer their employees.


About the Position

We want to make actionable data-driven insights easily accessible to every employee at Everplans. We are looking for a disciplined data engineer to help us create and maintain data sets to build dashboards and visualizations which let the data speak, inform key strategic decisions, and measure the success of our goals.


You should have:

  • A disciplined and impassioned approach to data, letting data speak for itself even if it can challenge currently received notions.

  • An extreme attention to detail, and the ability to internalize the final outcome, and synthesise usable data, regardless of inconsistencies and contradictions in the primary data.

  • The confidence and maturity to own the correctness of the synthesized datasets.

  • A belief in our mission, and a passion to make an impact in our users’ lives.

  • A collaborative mindset and be someone who enjoys socializing their ideas with peers.

  • An interest in improving the team at large, and helping your colleagues succeed.

  • An outcome-oriented mindset.

  • Curiosity and joy for technology. You should be able to adapt as trends and needs change.


Your Day-to-Day:

  • Participate in methods and work processes to ensure clean and correct data used for analysis.

  • Work directly with business stakeholders to formulate questions about user behavior, core business performance, and other data-driven insights.

  • Create best-practice reports based on data analysis and visualization needs.

  • Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance and user-engagement, investigating and communicating areas for improvement in efficiency and productivity.

  • Create and maintain datasets from our transactional database, eventlog “click stream”, and third party tools.

  • Oversee and maintain ETL system.

  • Evaluate and leverage tools both for data-analysis, and visualization for business users in the organization

  • Own the Data Dictionary, and be the key source of truth of where data lives, what data should be used, and which data is sanctioned for correctness and wide use.


Requirements:

  • Business analysis skills.

  • Ability to query and extract data from operational systems or data warehouse.

  • Experience working with BI tools or visualization platforms.

  • Proficiency with Python, MongoDB, and SQL (or equivalent experience).


Nice to haves:

  • Experience with Python/Jupyter Notebooks.

  • Experience with Looker and LookML

  • Practical experience in statistical analysis.

  • Experience with AWS

  • Interest/curiosity in other areas of our tech stack.

  • Ability to create simple visualizations and key company wide dashboards.


Larger Platform Tech Stack:

  • Front: React/Redux/Javascript/Babel.js

  • Back: Ruby on Rails/RSpec/Node.js/Python

  • Middle: Rust/Node.js

  • ETL: Python/Ruby/LookML

  • Workflow: Git / Automated tests with a CI life cycle.

  • Architecture: Middle tier/microservices, backed by a RESTFul JSON API


While we have offices in the Flatiron district of NYC, we are actively evolving our culture to embrace a remote workforce.


Everplans is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.


This is a remote position.

*** Mention DataYoshi when applying ***

Offers you may like...

  • WestRock

    Business Intelligence Data Engineer
    West Lafayette, IN 47907
  • Principal Financial Group

    Sr. Data Engineer (Machine Learning Engineer)
    Des Moines, IA 50392
  • Panzura, LLC

    Data Engineer
    Remote
  • Charles Schwab

    Senior Cyber Security Risk Data Engineer
    Phoenix, AZ 85016
  • visualbi

    Senior Informatica Data Engineer
    Plano, TX