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Data Engineer
Headway New York, NY
$104k-132k (estimate)
Full Time | Business Services 0 Months Ago
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Headway is Hiring a Remote Data Engineer

About data at Headway

Building a new mental healthcare system at Headway is only possible because of the insights and leverage that data can provide. The data team at Headway is a small but mighty team designing the infrastructure and implementing data pipelines to build that future (and have a fun time while doing it!). The data team is a partner to everyone at headway, educating people about data, data quality, data meaning, and data intricacies. 

Functions of data at headway:

  • Data Infrastructure: engineers the data infrastructure needed for analytics and data science.
  • Product Analytics: understands how users interact with our product so we can deliver better user experiences. 
  • Data Analytics deploys an understanding of our business and delivers insights to operate it more effectively
  • Data Science: delivers data as a product to power our intelligent therapist-matching, as well as our smart-survey technologies.

About the role:

Headway is looking for a Data Engineer to help us get closer to executing our mission: to create access to affordable, quality mental healthcare across the United States. As a core part of the Data Team, you will be collaborating with others in designing, building and implementing data pipelines that serve the core product and various stakeholders. You will be partnering with the Data Science and the Data Analytics functions closely, and together help shape the data landscape for Headway.

Who you are

We’re looking for data professionals who have the ability to deal with ambiguity and with a strong desire to understand the needs and problems of our internal partners. Below are some additional experiences we think help engineers succeed at Headway.

You will: 

  • Collaborate on the design and improvements of the data infrastructure
  • Partner with product and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
  • Create data pipelines that stitch together various data sources in order to produce valuable business insights
  • Create real-time data pipelines in collaboration with the Data Science team

You will love this role if you have: 

  • 3 years of experience in a data engineering role building products, ideally in a fast-paced environment
  • Good foundations in Python, Java or Scala (Python being the one we use most)
  • Experience with PySpark, DBT, SQL
  • Knowledge of visualization tools, such as Redash, Jupyter Notebooks (Python)
  • Strong at simplifying data, expressing information in charts and tables
  • You are empathetic: you are eager to see the world from your users’ perspective
  • You're energized by ambiguity & a self-starter: you love to drive the direction of ambiguous projects
  • You are motivated by our mission. We are working to solve the biggest problems in mental health care today (access and affordability)

Our interview process

After you apply to Headway, here are some details of what to expect during the interview process.

  • Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background.
  • First round: You'll meet with our Head of Data Science and Machine Learning for a system design and pipeline design interview.
  • Final rounds: You’ll meet several more team members for technical and non-technical interviews and leave with a fuller picture of what it’s like to work at Headway.
  • References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$104k-132k (estimate)

POST DATE

07/27/2022

EXPIRATION DATE

12/22/2022

WEBSITE

headway.io

HEADQUARTERS

AUSTIN, TX

SIZE

25 - 50

FOUNDED

2015

CEO

ANITA ASHTON

REVENUE

<$5M

INDUSTRY

Business Services

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App design and development driven by research. We partner with startups to create successful software through business and product strategy, design, and development. We help you build the right product for the right customers We'll help you validate your ideas, define your business strategy, design and build your product, and help you grow your business with a plan that works. Don't just build an app, build a business.

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

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Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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