Data Engineer I

San Diego, California, United States

Applications have closed

Housecall Pro

Housecall Pro is the #1 software solution for home service businesses. Over 35,000 field service professionals trust Housecall Pro, join their success today.

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Why Housecall Pro?

Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America’s 100 million homes.

We’re all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and—ultimately—save time so they can be with their families and live well. We care deeply about our customers and foster a culture where our company, employees, and Pros grow and succeed together. Leadership is as focused on growing team members’ careers as they expect their teams to be on creating solutions for Pros.

We also offer:

  • A generous benefits program that supports the whole you with medical, dental, vision, life, disability, and 401(k)
  • Paid holidays and flexible, take-it-as-you-need-it paid time off 
  • Equity in a rapidly growing startup backed by top-tier VCs
  • Monthly tech reimbursements
  • A culture built on innovation that values big ideas, no matter where they come from

Role Overview:

As a Data Engineer at Housecall Pro you’ll design, build and grow our data engine. 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 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 patient, empathetic, hard working, and above all else focused on improving the lives of our service professionals (our Pros). Our success is their success.

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
  • DataOps: 
    • Build out best practices around measurement, testing, 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)

 

Qualifications: 

  • At least 1-2 years of experience in SQL & Python
  • BS in Computer Science, Information Technology or related field, or equivalent experience preferred
  • Knowledge of relevant AWS services such as S3, EMR, Kinesis, DynamoDB, and Lambda (or equivalents from GCP or Azure)
  • Familiarity with modern data warehouse platforms such as Redshift, Snowflake, Vertica, or Greenplum (we use Snowflake)
  • Familiarity with DAG-oriented workflow tools such as Luigi, Airflow, Prefect
  • Familiarity with data visualization software (Tableau) preferred
  • What will help you succeed in this role:
    • Solid understanding of data warehouse design and data modeling techniques
    • Ability and willingness to learn

Founded in 2013, Housecall Pro champions home service professionals by giving them the tools to work simpler and grow smarter across all aspects of their business. Our core SaaS software platform helps Pros with scheduling, dispatching, job management, invoicing, payment processing, marketing, and more. We support more than 20,000 businesses and have over 400 ambitious, mission-driven, genuinely fun-loving employees in San Diego, Denver, and all over the world. If you want to do work that impacts real people, supported by a team that’ll invest in you every step of the way, we’d love to hear from you.

Housecall Pro celebrates diversity and we are committed to creating an inclusive environment for all employees with equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Housecall Pro is an equal opportunity employer; committed to an environment free from discrimination, harassment, and retaliation. #LI-RG1

Location Dependent Information:

This role is open to candidates inside and outside of Colorado and the expected salary range for this role is $90K-$105K + equity. The specific salary for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible to participate in Housecall Pro’s equity plan and the following benefits: health care insurance (medical, dental, vision, disability), employee assistance program, 401(K), flexible time off, paid parental leave, tech reimbursement, and other company benefits. Housecall Pro is growing fast and we’re scaling our team to help enable and accelerate our growth.

 






Tags: Airflow AWS Azure Computer Science DataOps Data pipelines Data visualization Data warehouse Data Warehousing DynamoDB Finance GCP Kinesis Lambda Pipelines Python RDBMS Redshift SDLC Snowflake SQL Tableau Testing

Perks/benefits: Career development Equity Flex hours Flex vacation Health care Insurance Medical leave Parental leave Startup environment

Region: North America
Country: United States
Job stats:  11  2  0
Category: Engineering Jobs

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