All offersWarszawaDataStaff Data Engineer
Staff Data Engineer
Data
Housecall Pro

Staff Data Engineer

Housecall Pro
Warszawa
Type of work
Full-time
Experience
Senior
Employment Type
B2B
Operating mode
Remote

Tech stack

    Polish
    advanced
    English
    advanced
    Snowflake
    advanced
    SQL
    advanced
    Python
    advanced

Job description

Online interview
Friendly offer

We are a fintech company that builds a SaaS platform for home service professionals. 🔧 Our core product helps our clients with scheduling, dispatching, job management, invoicing, payment processing, marketing, and more. 

 

We support more than 45,000 businesses and have over 1 500 ambitious, mission-driven employees in San Diego, Denver, and all over the world (including Poland 🇵🇱). 

If you want to do work that impacts real people, supported by a team that’ll invest in you every step of the way, search no more. This is your place to be!

 


Compensation: 9 500 - 10 000 USD per month (B2B)



🚀 We also offer:

  • Paid time off
  • Flexible work hours
  • Equity shares in a rapidly growing company backed by top-tier VCs
  • A culture built on innovation that values big ideas
  • We work in Central European Time*
  • Newest MacBook + Setup Fee ($500)

*Typical core hours are between 9:00 am - 5:00 pm

 


🚀 Joining Housecall Pro means:

  • Building a product that really improves users’ lives (70k users, 4.6 rates at App Store) learn more about the Housecall Pro mission;
  • Being a part of the Polish team of engineers, who put the highest priority on the quality and safety of the technical solutions;
  • Working with a mature, interdisciplinary dev teams (almost 100% of the Polish squad are seniors);
  • Having a real impact on technical decisions;
  • Being in direct contact with the community of users, who are eager to share their feedback;
  • You are committed to your work, open to feedback, and eager to share your knowledge, just like us :)

 

Role Overview:

As a Staff Data Engineer I, you are seasoned in designing, building and growing data engines.You are passionate about data-driven approaches. You enjoy exploring large data sets and get excited about learning new technologies and learning in a collaborative environment.You are highly skilled in extracting, transforming, and loading data. You have the ability to translate business requests into database design, and train others to follow suit. You are able to translate business requests into database design. You have experience in data warehousing and working with relational databases for the purpose of building data solutions for analytics and data science.

Our team is passionate, empathetic, hard working, and above all else focused on improving the lives of our service professionals (our Pros). Our success is their success.

 


🚀 Join us if you have:

  • 7+ years of experience in SQL and Python
  • Bachelor's degree in Computer Science, Information Technology, related field, or equivalent work experience 
  • Knowledge of relevant AWS services such as S3, EMR, Kinesis, DynamoDB, and Lambda (or equivalents from GCP or Azure)
  • Experience with modern data warehouse platforms (i.e. Redshift, Snowflake, Vertica, or Greenplum)
  • Experience working with Enterprise data replication tools qlick, Alooma,and Fivetran
  • A desire to share knowledge and train others

 


🚀 You get extra points for:

  • Strong understanding of data warehouse design and data modeling techniques
  • Willingness to learn and adapt to new technologies

 


🚀 What you do each day: 

  • Data Inclusion: Integrate data from a wide variety of data sources into our data model
  • Data Solutions:
  • Apply dimensional modeling to design tables and views that map business processes into an enterprise data model.
  • Build and maintain scalable data pipelines for both batch and stream processing in a cloud-computing environment.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
  • Data Access:
  • Support administration of data warehouse & BI solutions
  • Work with data and analytics experts to strive for greater functionality in our data systems
  • Data Operations: 
  • Build out best practices around measurement, testing, and alerting
  • Apply SDLC techniques to the deployment of data systems
  • Collaborate with stakeholders on the data demand side (finance, analysts, department leads) and data supply side (domain experts on source systems of the data)

 

 

Sounds interesting?

We’re waiting for your resume!