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Database Engineer

💰 $200 - $70,000 📅 06/10/2024

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Job Description

**Company Overview**

CoverRight is an insurance technology (‘insurtech’) startup on a mission to
make Medicare more accessible to the 60 million Medicare beneficiaries across
the country. We help the 10,000 people retiring every day make one the most
complex but important decisions as they age into retirement – finding the
right health insurance.

We're backed by leading venture capital investors including Goodwater Capital,
Hustle Fund and Carthona Capital, and have assembled a passionate and driven
team to tackle an industry long overlooked by technology. Our mission is to
become the most trusted partner in navigating the early-stages of retirement.

Our team is tight-knit, scrappy, and adaptable. We move fast, take risks, and
get things done. And, most importantly, we care deeply about each other and
our customers.

We have aggressive goals as we accelerate growth and are looking to bring on
new team members who are able to move mountains to ‘get things done’.

**Role Overview:**
We are seeking a talented and experienced Database Architect/Engineer to join
our growing team. As a Database Engineer at CoverRight, you will play a
pivotal role in designing, implementing, and maintaining our data architecture
and infrastructure. You will work closely with cross-functional teams (sales,
product, and marketing) to ensure that our data solutions align with business
objectives and support informed decision-making. This role reports to the Head
of Product and Engineering at CoverRight.

**Responsibilities:**

* Design, develop, and maintain scalable data architecture and infrastructure on Google Cloud Platform (GCP).
* Develop and optimize data pipelines using tools such as PostGres, BigQuery, DBT, and Dabster.
* Implement and manage ETL processes to extract, transform, and load data from various sources into our data warehouse.
* Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
* Perform data analysis to identify trends, patterns, and insights that drive business outcomes.
* Develop and maintain data models, schemas, and metadata to ensure data integrity and consistency.
* Create and maintain documentation for data architecture, processes, and best practices.
* Provide technical leadership and mentorship to junior team members.
* Stay current with industry trends and best practices in data architecture, engineering, and analytics.

**Requirements:**

* Bachelor's degree in Computer Science, Engineering, or related field.
* 4+ years of experience in data architecture, engineering, and analytics.
* Proficiency in SQL for data manipulation and analysis.
* Experience working with relational databases such as PostGres.
* Strong programming skills in Python for data processing and automation.
* Hands-on experience with GCP services, especially BigQuery.
* Familiarity with data modeling, ETL processes, and data warehousing concepts.
* Experience with data visualization and reporting tools, preferably Looker.
* Knowledge of data analysis techniques and statistical methods.
* Excellent communication and collaboration skills.
* Ability to work independently and as part of a team in a fast-paced environment.

**Nice to Have:**

* Experience with other data orchestration tools such as Airflow or Luigi.
* Knowledge of machine learning and predictive analytics.
* Certification in GCP or related technologies.

**Why Join Us:**
At CoverRight, you will have the opportunity to work with a talented and
diverse team on innovative projects that have a real impact. We offer
competitive compensation, comprehensive benefits, and a supportive work
environment where your ideas are valued and recognized.

If you are passionate about data and technology and thrive in a dynamic and
fast-paced environment, we would love to hear from you!

How to Apply:
To be considered, please apply here and submit your resume and cover letter
outlining your relevant experience and why you are interested in joining
CoverRight by email to [[email protected]](mailto:[email protected]).