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Data Engineer

$24k – $36k
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**The Company and Vision**

HealthCare.com is at a unique crossroads. We’ve built a successful and sustainable core business that has put us in a place to strategically build complementary products. We believe our next products will have a massive impact on how people shop for, enroll, and use their health insurance.


**Who We’re Looking For**

The Data Engineer (DE) is responsible for the maintenance, improvement, cleaning, and manipulation of data in the business’s operational and analytic databases. DE works with engineering, data analytics teams, and data scientists in order to understand and aid in the implementation of database requirements, analyze performance, and troubleshoot any existent issues.

DE must have between two to four years of experience in data pipeline development further providing support to the Data and Analytics in database design, data flow, and analysis activities. DE also plays a key role in the development and deployment of innovative big data platforms for advanced analytics and data processing.

DE defines and builds the data pipelines that will enable faster, better, data-informed decision-making within the business.


**We expect you to...**

- Maintain our current data pipelines using Python, R any other data handling suitable language.
- Develop or improve our ingestion process for our data lake.
- Continuously design, develop, and test data-driven solutions
- Orchestrate our data lake to create consolidated data.
- Able to batch processes using any scripting language like Perl, Bash scripting or Python.
- Collaborate with business intelligence, data science, and engineering teams.
- Work in cross-functional agile teams to regularly experiment, iterate, and deliver on new product objectives with end-to-end responsibility team's goals.


**Requirements and expectations**

- At least 3 years of experience in a scripting language like Python or a data analytics language like R
- Strong Knowledge in SQL for MySQL and/or PostgreSQL
- Good understanding of data structures and algorithms.
- Experience with big data technologies.
- Experience with Unix/ Linux and shell scripting.
- Experience working with various data sources like unstructured data files, flat files, message queues, JSON based events, databases.
- Ability to produce clear, well-documented designs for product features.
- Experience writing high-performance, reliable and maintainable code.


**Your non-technical skills**

- Intellectual curiosity, passion and creativity.
- Strong analytical skills.
- Problem-solving skills.
- Strong teamwork and collaboration skills
- Excellent written and oral communication skills


**Perks**

- WFH once a week
- Office within a great space (free coffee, snacks, fussball table, video game consoles and more.)
- Great work environment with a group of successful entrepreneurs.
- Great office space in one of the best areas of the city.

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