Staff Data Engineer II (Customer Data Platform)

Who are we?

Founded in 2013, Housecall Pro helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, Housecall Pro enables Pros to save time, grow profitably, and provide best-in-class service. Housecall Pro’s brand portfolio includes Business Coaching by Housecall Pro, a business coaching solution for home services businesses. Our brands are united by a singular mission to champion our Pros to success.

We support more than 45,000 businesses and have over 1,800 ambitious, mission-driven, genuinely fun-loving teammates across the globe (half of the engineering team is in Poland 🇵🇱). If you want to do work that impacts real people, supported by a team that will 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. We are an equal opportunity employer and do not discriminate on the basis of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law.

Compensation: 10,000 - 10 700 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)

🚀 Joining Housecall Pro means: 

• Building a product that really improves users’ lives (70k users, 4.6 rates at App Store) - let’s see what clients say about the product;
• Being a part of a global team that build a diverse culture in our company;
• Working with more than 300 engineers highly qualified and engaged in improving the life of our Pros;
• Being in direct contact with the community of users, who are eager to share their feedback;
• Rapidly growing teams that create a defined career path.

🚀 About the role

As a Senior Staff Data Engineer, you own and manage our customer data infrastructure, ensuring data accuracy, governance, and usability across the organization. You act as a bridge between engineering, product, and marketing teams, bringing a product-focused lens to every decision you make around data collection, structure, and analysis. You thrive when creating scalable, future-proof systems that allow for real-time insights and help drive product innovation, customer understanding, and strategic growth.

You have extensive hands-on experience with customer data platforms (CDPs) like Segment and Amplitude, and a strong grasp of how data integrity and precision directly influence user experiences, product outcomes, and marketing effectiveness. You champion the importance of data-driven product development, ensure data privacy and governance best practices are upheld, and thrive in a fast-paced, dynamic SaaS environment.

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

🚀 In your daily routine, you will: 

• Own and manage the Segment and Amplitude platforms, overseeing data sources, destinations, tracking plans, and integrations with downstream systems (i.e., Salesforce, Snowflake, martech platforms)
• Collaborate with product, engineering, and marketing teams to design and implement event tracking schemas that capture meaningful, actionable insights
• Ensure data governance, standardization, and quality across all customer and product analytics pipelines
• Define and enforce best practices around event tracking, naming conventions, taxonomy, and data quality
• Monitor system performance, proactively identify and troubleshoot data pipeline issues, and build monitoring frameworks to maintain system health
• Improve and expand identity resolution strategies to strengthen anonymous-to-known user workflows
• Partner with product managers to continually optimize tracking strategies that inform product usage patterns and customer behaviors
• Stay current on emerging capabilities within Segment, Amplitude, and related customer data tools, driving adoption of new features when they enhance self-service analytics
• Support compliance with data privacy regulations and internal data governance standards
• Align with engineering leaders to ensure scalable data infrastructure that empowers real-time decision-making across the organization
• Demonstrated experience in building democratized eventing processes and systems, enabling self-serve analytics across the business

🚀 What do you need to get this job?

• 6+ years of analytics, data engineering or similar technical experience
• 2+ years experience with Segment and Amplitude or comparable CDPs (e.g., mParticle, Rudderstack, Amperity)
• Deep understanding of event-based tracking models, customer data pipelines, data governance, and identity resolution strategies
• Familiarity with Frontend technologies (Javascript, React), and Mobile platforms (iOS, Android) as event emission systems
• Experience designing and managing data and event taxonomies at scale
• Proficiency working with APIs, service contracts, and data integration frameworks
• Advanced SQL skills and experience querying large-scale data warehouses (i.e., Snowflake, BigQuery, Redshift)
• Knowledge of ETL and reverse ETL workflows, and related data engineering workflows
• Familiarity with GDPR, CCPA, and other data privacy and compliance frameworks
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field or equivalent work experience

🚀 Key success factors in that role are also...

• Strong product mindset, with an understanding of how data shapes user experiences and drives product decisions
• Obsession with data quality, integrity, and governance
• Ability to operate autonomously and drive clarity from ambiguity
• Excellent collaboration and communication skills with technical and non-technical stakeholders
• Proactive mindset in identifying opportunities for infrastructure optimization and scalability
• Deep curiosity about customer behavior and product usage patterns
• Demonstrated ability to work cross-functionally across a large organization
• Commitment to continuous learning, staying current with evolving tools, platforms, and best practices
• Demonstrate a strong passion for using AI technologies to enhance productivity, quality, and innovation
• Curiosity and drive to stay ahead of emerging AI/ML technologies and their practical applications

Sounds interesting?

We're waiting for your resume!

This role is open to candidates inside Poland 🇵🇱 

The specific salary for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills and experience

 #LI-Remote