Manager, Data Engineer

Spekit is the new way to learn in today’s remote, digital workplace. Say goodbye to distracted zoom training sessions and lengthy LMS courses your teams will forget. Instead, Spekit takes all of your training & enablement - for applications, processes, sales playbooks, SOPs and more and embeds that training directly in your employees’ tools & workflows, right when and where they need them. Whether that’s a walkthrough to guide you through creating a quote in Salesforce or a competitor battle card to handle an objection in email, Spekit is your learning companion every step of the way.

The world’s most innovative companies including Uber Freight, Outreach, Snowflake, Southwest Airlines and Udemy leverage Spekit to accelerate onboarding, drive tool adoption increase productivity, remove the friction of change management and fuel the growth of their employees - from anywhere.

With $60M in VC funding from top venture firms including Craft Ventures, Bonfire Ventures and the Foundry Group, Spekit is the rocket ship you’ll want to be on as we reinvent the future of learning at work.

About the Role

We're looking for a talented Manager, Data Engineering to join our growing team! Our tremendous growth requires a backend expert who can quickly integrate, build and test code, and who can lead team members in architectural design, technical debt resolution, and the overall development process.

At Spekit, we have a hard-working, diverse, and supportive team. If you're a doer who thrives in a fast-paced environment and wants to be a foundational member of a growing high-tech company, we’d love to hear from you!

Technologies we embrace:

Backend - Python (+ Django / Django-Rest), PostgreSQL, Redis, RabbitMQ, ElasticSearch, Linux
Frontend - NodeJS, React, Typescript

*What we're looking for in you: *

You have 5-8+ years of experience in data disciplines
You have 3-5+ years in technical leadership
Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience.
You are knowledgeable about engineering fundamentals and architecture, including working with Git, CI/CD practices, restful APIs, distributed systems, SQL, cloud services (AWS preferably), algorithms & data structures, UML and other forms of systems design collaboration
Passion for high data quality and scaling data science work
Strong skills in SQL and distributed system optimization (e.g. Spark, Presto, Hadoop, Hive)
Strong skills in data analysis (e.g. Python, R, Scala, Superset, and Tableau)
Experience with ETL frameworks (e.g. dbt, Airflow)
Experience in schema design and dimensional data modeling
Ability to perform basic statistical analysis to inform business decisions
Proven ability to succeed in both collaborative and independent work environments
Familiarity with modern machine learning techniques and their mathematical underpinnings, such as classification, clustering, optimization.
Design and automate large-scale, high-performance data processing systems
Evangelize high-quality software engineering practices towards building data infrastructure and pipelines at scale.
Lead data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable
Design our data models for optimal storage and retrieval and to meet critical product and business requirements.
Understand and influence logging to support our data flow, architecting logging best practices where needed
Establish shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company
Excellent communication skills, both written and verbal
Demonstrated ability to create and drive technical and impactful roadmaps for the business, and lead seamless execution of it
Passion for management and creating opportunities for career growth for team members
Ability to communicate clearly and effectively to cross-functional partners of varying technical levels.

Things we value, culture-wise

Team Player. We believe that customer experience starts with your employee experience and as such, we believe in collaboration, transparency, integrity, trust, listening, doing what is right, and always going above and beyond for our team.
Grit & Growth. We run towards challenges. If something seems unsolvable, it unleashes our persistence, our creativity, and our ability to move through uncertainty to create a solution.
Positive & Purposeful: We’re a collaborative team of innovators and are always looking to think 3 steps ahead of our competition. We think at scale, imagine what’s possible and then work our way backwards with an MVP approach to everything we do.
Simple yet Spektacular. We’re in the early stages of building something really great and that requires a lot of hands on deck and a focus on execution. In this journey, we uncover joy in simplicity, obsess over the experience, pivot quickly and always reach for excellence.

Open-Minded. We are a diverse group of lifelong learners. We approach our work with curiosity and constantly look for ways to improve our products and ourselves, never settling for good enough.
Work Smart and Be Present: As a startup, it can feel like you’re racing against the clock at all times – where “more” is the only path forward. We believe that you do your best at work when practicing mindfulness, getting the right amount of sleep and prioritizing the things that truly matter in life.
Enjoy the Journey. Love what you do and who you do it with! We embrace joy and kindness and we bring our authentic selves to work each day. We seek to share our optimism and compassion with everyone around us.

About the Team

At Spekit, we strive to be the change we seek. And the change we seek is a wealth of diversity in technology and the workplace. As a company with two female founders, we know that diverse and inclusive cultures drive innovative results. We’ve committed as an organization to elevate underrepresented minorities in technology through awareness, partnerships and even hosting our own scholarships to do our part in changing the status quo.

If this sounds like the right place for you, we'd love to chat!