Kalderos

Chicago
51-200 employees
Kalderos solves problems facing the U.S. healthcare system. We work with providers, manufacturers, and others to increase transparency through technology.

Data Engineer

Data Engineer

This job is no longer open

What we do

At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community. We are on a mission to solve systemic problems of the healthcare system, redefining how the business of healthcare performsTM. We measure our success when we can empower all of healthcare to focus more on improving the health of people.

To learn more: https://www.kalderos.com/company/about 

Kalderos is looking for talented data engineers to join our Engineering team in our Chicago or Brookfield, WI locations or remotely based in the continental United States.  

We’re looking for people who have an EXPERT level background with over 5 years of experience in data engineering areas including programming, data modeling and database administration.

Are you ready to join our amazing engineering team and help us change the world, one engineer at a time?

We are looking for

At Kalderos we are innovators, creators, and problem solvers. We look for people who share those passions while embracing differing opinions, skills, and life experiences. We view each application holistically; it's not just what you've done, but who you are and what makes you tick. 

Reading through job list requirements can be intimidating, and we get that! We encourage you to apply ESPECIALLY if you don't meet every qualification. Think of these requirements as more of a wishlist we have, and show us in your cover letter what you bring to the table beyond hitting a bunch of bullet points. As we said before, we value life experiences, varying skills, and how those can translate into applicable experience for the role you want here at our organization. 

We're changing the way healthcare performs, and we need someone who changes our mind about what a candidate can bring to the table. 

What you’ll bring

  • 5+ years work experience (required) as a Data Engineer in a full-time role who is authorized to work in the US
  • Bachelor’s degree in information technology, computer science, software engineering or similar field.
  • Excellent interpersonal project management skills and attention to detail
  • Familiarity working in an agile environment
    • Some ways you may demonstrate this are:
      • Describing a time in which you had a large project you needed to manage
      • Relevant work experience on a Agile team
  • Proven data engineering experience that involved creating, and maintaining a database and implementing data processing pipelines
    •  Some ways you may demonstrate this are: 
      • Professional experience described on your resume
      • Open source implementations of data intensive applications
      • A personal side project that involved maintaining a database like a website
      • Online course completion in relevant areas
      • Vendor certification in a relevant field
  • Programming experience with a modern computing language that supports data engineering work (Python, C#, JVM-languages like Scala)
    • Some ways you may demonstrate this are: 
      • Professional project descriptions on your resume
      • GitHub repositories that have working code that you created
      • Sending a code snippet that exemplifies your work
  • Advanced SQL skills and understanding performance trade-offs of various SQL implementations
    • Some ways you may demonstrate this are: 
      • Professional project descriptions on your resume
      • SQL Certifications you have earned
      • Answering SQL questions in a phone interview
      • Advanced SQL queries you wrote in your Github repository
  • Advanced data modeling skills - able to define complex data models based on business requirements considering extensibility, scalability and performance. 
    • Some ways you may demonstrate this are: 
      • Able to articulate database modeling techniques and tradeoffs during a phone interview
      • Demonstrations of complex data models you have designed
  • Database administration - have experience with database administration of SQL Server instances including performance tuning, scaling, replicating, etc. server instances and maintaining a secure and healthy database environment.  Postgres experience is highly desired.
  • Managing big data - experience with managing big data sets with millions of records for both transactional and backend storage.  Experience leveraging multiple database technologies to handle the performance, scalability and extensibility requirements for handling big data volumes.

What May Set You Apart

  • Experience working remotely as a senior level data engineer
  • Experience with multiple SQL databases like MS SQL Server and Postgres
  • Experience with Azure cloud computing such as hosted databases
  • Experience with streaming technologies such as Kafka or Event Hubs
  • Experience with orchestration frameworks like Azure Data Factory or Airflow
  • Experience with NoSQL data stores such as MongoDB and CosmosDB
  • Experience in the healthcare or pharmaceutical industries
  • Experience with large scale migrations of databases
  • Experience creating RESTful APIs to service data needs for web applications
  • Experience with implementing Software Development Lifecycle approaches to database work, such as Testing, CI/CD and other automation

If you think you meet some of the list of the above, but not everything, that’s perfectly fine! We encourage you to apply regardless. At Kalderos, we know talent comes in many forms, and we’re willing to look beyond a set of rigid criteria to find the right teammate.

What you’ll be working on

The Data team’s mission at Kalderos is to provide data modeling expertise to internal teams, and build data storage and processing platforms that can scale as Kalderos scales. They can work within the Ledger and Master Data team, the Data Science team, or others as needs arise. Below are some possible day to day tasks for a data engineer at Kalderos.

  • Work with product teams to understand and develop data models that can meet requirements and operationalize well
  • Build out automated ETL jobs that reliably process large amounts of data, and ensure these jobs runs consistently and well
  • Build tools that enable other data engineers to work more efficiently
  • Try out new data storage and processing technologies in proof of concepts and make recommendations to the broader team
  • Tune existing implementations to run more efficiently as they become bottlenecks, or migrate existing implementations to new paradigms as needed
  • Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw upon

Why is this a great opportunity for you? 

  • We work on cutting edge technologies and products.  We are continually evolving and building new product areas - providing many opportunities for individual team members to use their existing skills and grow in other areas as well.
  • We are a tight-knit and collaborative team of over 20 engineers.  We work hard, but have fun doing it.   Our team is made up of a diverse set of talented people - each bringing to the team their unique experiences.  We celebrate the diversity and inclusion within our team and Kalderos.
  • Our team members want to continually hone their craft - through a continuing education stipend, on the job opportunities, team lunch and learns and technical specialization groups that meet on a regular basis.
  • Our team members work in agile product teams - gaining valuable experience working with talented product managers, business analysts, design/UX, scrum masters and quality assurance engineers.  This is in addition to working with our other Kalderos teammates working on areas such as data science, marketing, customer success, sales, strategy, information security and finance.
  • Check out our company perks listed further below!

Personal attributes we are looking for

Strong communication and collaboration skills are required as we look for people to take on leadership initiatives.  We are not a typical Engineering team where people just want to put their heads down and code - but rather a team of engineers who want to actively participate in team and company initiatives not related to technical tasks.

  • Self-starter and motivated
  • Strong written and verbal communication skills 
  • A deeply ingrained sense of timeliness and urgency to resolve problems 
  • High standards for excellence as well as strict adherence to policies, procedures, and schedules 
  • Excellent organization skills and can work independently and multi-task with minimal supervision, while effectively identifying, organizing, and prioritizing multiple projects for themselves and others. 
  • You are comfortable working at a company that celebrates failure and rewards success.

Company perks you will want to know about

  • 401K plan
  • Healthcare Benefits 
  • Training Allowance Fund
  • Flexible Schedule 
  • Working for a Startup Company with a collaborative and positive culture
  • A Fair PTO system that allows for a healthy work-life balance
  • Opportunity to work on new technologies and learn new skills 
  • Cross functional training opportunities
  • Tech Allowance Fund
  • Guidance from a transparent leadership team
  • Entertainment Allowance Fund

To learn more: https://www.kalderos.com/company/culture

Kalderos is an equal opportunity workplace.  We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

Due to the circumstances of the COVID-19 pandemic, Kalderos has decided to protect our current and future employees by shifting to an entirely remote workforce. We will continue to operate, interview, onboard, and work remotely. Please be aware that some of our roles will not be remote long-term and will return to an office setting once we're safe to do so following the guidance of local health authorities and the CDC.

This job is no longer open
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