Senior Manager of Data Engineering

HappyCo; United States; Remote; USD 170,000 - 720,000; Full time

Job summary

Join a forward-thinking company as a Senior Manager of Data Engineering, where you will drive data initiatives and shape the architecture for data-driven decision-making. This role offers the chance to lead a dynamic team, oversee the development of ETL pipelines, and implement best practices in data governance. With a focus on collaboration and innovation, you will play a pivotal role in aligning data strategies with business goals, ensuring the effective utilization of cloud services. If you are passionate about data and eager to make a significant impact, this is the perfect opportunity for you.

Benefits

Unlimited vacation time

Generous paid parental leave

Flexible work from anywhere

Monthly stipends for wellness and home office expenses

Competitive pay with stock options

Qualifications

• 5+ years of experience in data engineering with a strong track record.
• Proficiency with Looker and BI tools for reporting and analytics.
• Hands-on experience with cloud platforms and data modeling.

Responsibilities

• Oversee technical execution for data-related initiatives.
• Develop and maintain scalable and secure data infrastructure.
• Lead and mentor a small team of data engineers.

Skills

Data Engineering

Data Warehousing

ETL/ELT Pipeline Development

Data Governance

Python

SQL

Cloud Platforms (AWS, Azure, GCP)

Data Modeling

Looker

Business Intelligence

Education

Bachelor's Degree in Computer Science or related field

Master's Degree in a relevant field

Tools

Google Cloud Platform (GCP)

PostgreSQL

MySQL

Looker

Tableau

PowerBI

Job description

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HappyCo is a company where people can grow their careers and work with like minded people, with no egos or politics. HappyCo is values driven and offers a flexible, supportive culture. Join HappyCo and Make Work Happy!

We’re looking for an experienced Senior Manager of Data Engineering to join our team.

The Position

HappyCo is seeking an experienced and strategic Senior Manager of Data Engineering to drive the development and execution of our data initiatives, ensuring alignment with the company’s goals and product roadmap. This role will play a critical part in shaping our data architecture, warehousing, analytics, and reporting to enable data-driven decision making across the organization.

As a key collaborator, the Senior Manager of Data Engineering will work across departments to understand business data needs, developing and maintaining scalable data infrastructure to support storage, reporting, and security. This role will oversee ETL/ELT pipeline development, implement data governance best practices, and ensure cost-effective utilization of cloud services and tooling.

Additionally, this person will lead a small but impactful team, providing mentorship and technical guidance while fostering a culture of collaboration and continuous improvement.

Core Responsibilities

• Support and execute the data strategy to align with company goals and the product roadmap
• Oversee technical execution for data-related initiatives, including data architecture, warehousing, analytics, and reporting
• Collaborate with stakeholders across departments to understand and address data and insight needs
• Develop and maintain scalable and secure data infrastructure to support storage, reporting, and security requirements
• Implement best practices for building and maintaining ETL/ELT pipelines and ensure effective data governance
• Lead and mentor a small team of data engineers, fostering professional growth and collaboration
• Monitor and optimize the cost and performance of data products, cloud services, and third-party tooling

What we think you need to be successful

• 5+ years of experience in data engineering, data warehousing, or enterprise reporting, with a strong track record of executing data strategies
• Proficiency with Looker is required
• Hands-on experience with BI and data warehouse tools, databases, and data modeling (relational, document-based, SQL, NoSQL)
• Strong expertise in data modeling techniques and strategies to ensure efficient, scalable data structures
• Proficiency in programming and scripting (Python, SQL, Bash preferred) for data pipeline development and automation
• Experience working with cloud platforms such as AWS, Azure, or GCP (preferred)
• Proven leadership skills, with experience managing and mentoring junior data engineers and/or analysts
• Process improvement mindset, identifying and implementing efficiencies in data workflows and infrastructure
• Excellent communication and collaboration skills, with the ability to translate complex technical concepts into business-friendly language

Technologies Used

• Cloud Platforms & Services: Google Cloud Platform (GCP) - including BigQuery, Cloud Storage, Datastream, Cloud SQL, Pub/Sub, Cloud Functions, and other key GCP services for scalable data infrastructure
• Databases & Storage: PostgreSQL, MySQL, and NoSQL solutions (such as Bigtable, MongDB, DocumentDB)
• AI & Machine Learning: GCP Vertex AI, GCP Gemini AI, and OpenAI models for predictive analytics, automation, and data-driven decision-making
• Business Intelligence & Visualization: Looker & LookML, plus experience with complementary BI tools like Tableau or PowerBI for enhanced reporting and analytics

Keys to happiness at HappyCo

• Pushing forward in ambiguity while striving for clarity
• Prioritizing for sustained impact vs helping in the moment
• Empowering teams instead of enforcing standards
• Leveraging technology to serve humanity in a way that is accessible
• Being a proactive contributor to the design and research team culture, with a strong growth mindset
• Experience and understanding of early-stage startups and challenges
• Experience within the multifamily residential property industry
• Previous research experience in an Enterprise B2B SaaS context where complex workflows and systems have been tackled

About HappyCo

Founded in 2011, HappyCo (happy.co) builds mobile and cloud solutions to enable real-time property data. Our flagship product suite 'Happy Property’ has 5M units on its platform.

We’re everyday people with a shared purpose — improving the lives of others. Our team is made up of thinkers, talkers, planners, makers, builders and everything in between. Together, we’re turning our passions into happier communities!

When customers use our software, their communities get stronger. Our tools empower everyone in multifamily property management to improve their operations and maximize returns, which means they’re building better experiences for their residents. Learn more about our Product Vision here!

HappyCo Culture

HappyCo strives to build better communities. So naturally, we are dedicated to making our own community an enjoyable place that allows us do our best work. We’re devoted to building an inclusive, supportive culture that empowers each HappyCo’er to succeed and grow. To learn more about our culture, check out our careers page!

We Offer:

• Work from anywhere supported by a flexible company culture
• Opportunity to work for one of the fastest growing technology companies in the PropTech industry
• Unlimited vacation time
• Generous paid parental leave
• Competitive and equitable pay, including stock options
• Monthly stipends to support Wellness and Home Office expenses

Find our more about our US Employee Benefits here!

We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that HappyCo upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, and veteran status. HappyCo is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Real Estate, Software Development, and Technology, Information and Media

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Disability insurance

Paid paternity leave

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