Staff Data Engineer

Why Shiftsmart

We’re building the Amazon of labor. We’re a labor platform pairing end-to-end workforce management technology with a rapidly growing global network of 3M flexible workers (ranked #3 in the App Store) to create scalable labor solutions for the largest companies and government agencies in the world like Walmart, PepsiCo, Google, and Circle K. Our unique business model fractionalizes jobs down to shifts and makes it easy for workers to work across multiple employers through a digital marketplace. We’re one of the fastest-growing scaleups in the country. We’ve grown 2-3x each year since we started and raised $120M+ from top-tier investors including D1 Capital & Imaginary Ventures…and we’re only getting started.

Our mission is to build the world’s leading platform for hourly workers and enterprises enabling flexibility, choice, and upward social mobility.

Join a rocketship. This is a unique opportunity to join the ground floor of a rapidly scaling business that is changing the way hourly labor works and capturing a $2 trillion dollar opportunity in the US alone.

Ownership + impact. Join a team that is challenging and supporting one another to build a great business and create flexibility, choice, and upward social mobility for workers everywhere.

Captain your career path. Enjoy accelerated technical development and coaching working with a team of top engineers in their domains (e.g Lyft, Amazon, DoorDash, PayPal)

Become a world-class builder. You'll have the opportunity to not only build both individual tooling and features but also influence the architecture of our entire platform. Every member of the engineering team will be involved in building from the ground up.

Mission : What we do and why we need you

We are seeking a highly skilled and experienced Senior / Staff Data Engineer to join our Core Platform Engineering team. As a founding member of this team, you will be a key contributor to every critical decision, and responsible for driving the design, development, and governance of Shiftsmart's data. Your expertise in software engineering, data systems, and data governance will play a critical role in building scalable and efficient data platforms and tools while ensuring data integrity and compliance. This is a unique opportunity to make a significant impact on our organization, contribute to the success of our team, and champion data governance practices.

Shiftsmart's headquarters is located in New York City, but this is a remote position open to candidates residing in the US and Canada.

Outcomes : The problems you will solve

Technical Leadership : Provide technical leadership and guidance in designing and implementing data solutions that meet business requirements and align with data governance principles.

Solution Development : Collaborate with stakeholders to understand product and business needs, and translate them into scalable and reliable data systems and tools, while ensuring data quality, privacy, and compliance.

Data Governance : Champion and enforce data governance practices, including data lineage, metadata management, data quality controls, and privacy regulations.

Data Architecture : Design and develop large-scale data systems, including databases, data warehouses, and big data platforms, with a strong focus on data governance and compliance requirements.

Software Engineering : Apply software engineering best practices to build robust and maintainable data solutions, ensuring code quality, performance, and scalability in line with data governance guidelines.

Data Integration : Collect and integrate data from various sources to create a unified and accurate source of truth for financial and compliance domains, while adhering to data governance policies.

Performance Optimization : Optimize data processing and query performance while ensuring adherence to data governance SLAs.

Automation and Efficiency : Drive automation initiatives by developing scripts, utilities, and frameworks to streamline data processes, improve efficiency, and enforce data governance practices.

Collaboration and Mentoring : Collaborate with cross-functional teams, mentor junior engineers, and foster a culture of data governance and compliance awareness within the team.

Innovation and Continuous Improvement : Stay updated with the latest industry trends and technologies in data engineering and data governance, evaluate new tools and techniques, and propose innovative solutions to enhance data systems, processes, and governance practices.

Documentation and Knowledge Sharing : Maintain comprehensive documentation of data solutions, processes, best practices, and data governance frameworks, and actively share knowledge with the team.

Competencies : Who you are

Experience : 8+ years of experience as a software engineer, with a strong focus on data engineering and large-scale data systems.

Technical Expertise : Proficiency in technologies such as MongoDB Atlas, Google Cloud Platform (GCP), BigQuery, Prefect, Typescript, and Python. Experience with additional data technologies and tools is a plus.

Data Governance : Strong understanding of data governance principles, regulations, and industry best practices, with practical experience in implementing and enforcing data governance frameworks.

Data Architecture : Solid understanding of data architecture principles and proven experience in designing and developing scalable data systems, while considering data governance requirements.

Software Engineering Skills : Excellent programming skills, with expertise in building robust and scalable software solutions using modern software engineering practices in alignment with data governance guidelines.

Problem-Solving Abilities : Analytical mindset with the ability to understand complex business or technical problems and propose effective data solutions, considering data governance and compliance aspects.

Leadership Skills : Demonstrated ability to provide technical leadership, mentor junior engineers, and drive successful outcomes in a collaborative team environment, with a focus on data governance excellence.

Communication Skills : Strong verbal and written communication skills to effectively convey complex technical concepts

Education : Bachelor’s or master’s degree in computer science, engineering, or a related field

Compensation philosophy

To provide greater transparency we share base salary ranges, which are based on role and level benchmarked against similar stage, high growth companies. Offers are determined based on multiple factors including skills, work experience, and relevant credentials.

In addition to competitive salaries and meaningful equity we offer the following benefits :

Comprehensive healthcare coverage : We cover 100% of employee premiums for medical, dental, and vision care (60-75% for dependents)

401(k) match program : We match 100% on the first 3% of your contributions and 50% on the next 2% for a maximum match of 4%

Generous, fully paid parental and family leave policies

Pre-tax commuter benefits

Unlimited and flexible PTO