Lead Data Engineer

Location: Cambridge, MA

*** Mention DataYoshi when applying ***

Job : Lead Data Engineer

Location : As of January 2022; Cambridge, MA

About Caredash

CareDash, a venture-backed start-up located in Cambridge, MA, is the fastest growing healthcare review website, committed to making it easy to find accessible information that helps patients make the right decision about their healthcare provider. Since 2016, we've built CareDash into the most transparent, accessible, and inclusive healthcare review site and have empowered millions of users to feel informed and confident making important decisions about their healthcare. Join our team and help us further our mission. Trusted reviews. Trusted care.

Our patients aren't simply just any patients, they are ourselves, our neighbors, our friends, our family, and represent every identity of our fellow US residents. At CareDash, it is our mission to help them find the best care possible, and as the leading Senior Data Engineer, you will play a key role in helping us scale to reach millions of more patients.

About the Team

The team at CareDash has worked tirelessly to put patients' needs first using the latest technologies, data driven decisions, taking big risks and having fun. We are proud to provide health services and solutions to over 2 million monthly visitors. We would be thrilled to have a high energy superstar like yourself elevate our team to even greater heights.

About the Role

We are looking for a savvy and experienced Data Engineer to join our growing team of analysts and software experts. Our Data Engineering positions offer a high level of autonomy and flexibility. You will be encouraged to take ownership of your projects and find opportunities to implement robust, scalable, and reliable data solutions across the business.

You will be responsible for maintaining, expanding and optimizing our data and pipeline architecture. You will be the owner and subject matter expert for the systems and components required to deliver scalable and maintainable products. You will enhance our data collection techniques within cross functional teams and you are well versed at writing code. You can easily maintain a complex system that embodies the caredash.com website and its 24/7 up-time and reliability.

We are looking for a candidate with several years of experience in a Data Engineer role, who has attained a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. You should also have experience using the following software/tools:

Experience with big data tools: BigQuery
Experience with relational SQL and NoSQL databases, including Postgres, MongoDB, ElasticSearch.
Experience with data pipeline and workflow management tools: Airflow, Switch, Fivetran, etc.
Experience with DevOps environments within AWS and Google cloud services: Docker, Kubernetes, Google Cloud Storage, RDS, to name a few
Experience with object-oriented/object function scripting languages such as: Python, Ruby, etc

About You

You belong at CareDash if you are an experienced data pipeline fanatic who enjoys data systems and building them from the ground up, writing smart queries and researching the results. You are self-directed and comfortable supporting the needs of multiple teams, systems and products. You are excited by the prospect of optimizing and re-inventing our company's data architecture to support our next generation of products and initiatives.

You are an exceptionally high performing individual with skills that include:

Advanced working SQL knowledge, experience working with relational databases, query authoring (SQL), as well as familiarity with a variety of databases.
Experience building and optimizing 'big data' data pipelines, architectures, data sets and analytical dashboards that answer business questions.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
Experience supporting and working with cross-functional teams in a dynamic and entrepreneurial startup environment

Bonus if you are also:
Experienced with AdOps application-level infrastructure, setup and optimization

Benefits :
We offer a competitive benefits package we think you'll love:
Health insurance
Unlimited vacation time
Commuter expenses

Please, no agencies at this time.

CareDash Principles

We hire with strongly held principles that govern everything we do. These principles guide us in our work, our conduct and a common bond of how we want to be treated and treat others.

Hire, develop and keep highly effective people; insist on the highest standards.

We raise the bar with every hire. We pursue ambitious common goals. By insisting on the highest standards for the team and our work, we produce high quality results .

Embrace the fun.

From slack emojis to virtual (and non-virtual) escape rooms, and summer trips to happy hours, we truly embrace the fun . We know that when we have fun together, we work better together.

Leave your ego at the door; support the company and the team.

We are confident in our individual capabilities, while supporting each other.

Be extraordinarily and regularly candid; share information openly and deliberately.

We care personally and challenge directly when giving feedback.

Have a bias for action.

We value speed, action and smart risk taking , while being open to possible failure.

Value the freedom and responsibility to make solid, independent decisions.

We believe in an autonomous workplace, acknowledging that our colleagues are extremely capable of making independent decisions to get the job done well.

Take big risks to maximize return.

We focus daily on what's most important, seeking out the highest return for our efforts, and questioning publicly when we get off track.

Collaborate effectively with everyone, regardless of background.

We value the diverse perspectives that people of different backgrounds and cultures bring to the team, and work to acknowledge and grow past our own biases.

Make data-driven decisions with results in mind.

We make decisions based on data , even if it goes against our initial instincts. We keep outcomes at the forefront to ensure we are meeting our goals.

Grow with us.

We are constantly growing, learning and evolving as a team and as a company. We support, mentor and guide each other to grow individually so we can succeed at and beyond CareDash.

At CareDash, we value the whole person and the nuances of unique experience, which is why we encourage potential applicants to apply even if they do not meet all criteria. We are committed to providing inclusive workplaces where people of all races, ethnicity, religions, ages, sex, genders, sexual orientations and physical abilities are welcomed, nurtured, and represented. We value passion, dedication, and a willingness to learn, and understand that ability presents itself in many different ways.

*** Mention DataYoshi when applying ***

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