Tech Lead | Data Engineering

Apply now for a career that puts wellbeing first!

GET TO KNOW US

Gympass is a corporate wellness platform that connects you to thousands of fitness & wellness partners, all with one simple monthly membership. Founded in 2012 and headquartered in NYC, we have a growing global team in 11 offices around the world. At Gympass, you not only have the opportunity to build a career in a fast-paced global environment - but you'll make wellbeing universal, so everyone can be happy and healthy. 

THE OPPORTUNITY

We're looking for a talented Tech Lead to join our Data Engineering team in Portugal!

The Data Engineering team is responsible to empower all teams by providing a scalable and reliable infrastructure to collect, organize and process the deluge of data generated daily on Gympass with proper Data Governance in place. Our infrastructure is completely in the cloud, running Kubernetes, Presto, Spark, Kafka, Airflow, Flink and more cutting edge projects. We use software engineering principles to solve large scale production challenges. We build and maintain a data platform, aiming on helping everyone at Gympass to make data-informed decisions.

YOUR IMPACT

We are looking for a team member to help us grow our Data Engineering team, improve our pipelines, adopt new technologies, and find new ways to democratize data by evolving our platform. You will be able to lead large scale data projects while interacting with different teams inside and outside the organization, mentoring engineers and driving architecture decisions.

Might suit you very well if:

• You have designed and maintained large scale pipelines (really, we have a deluge of data);
• You have led impactful and high-scale data projects (experience on managing Data Engineers is a huge plus);
• You understand how cloud providers works, costs involved and latency;
• You understand data quality issues, how to troubleshoot them and how to automate data quality processes;
• At your last companies, you were responsible for introducing technologies that made people empowered with data;
• You are comfortable understanding machine learning and big data concepts to ingest, process and make data available for data scientists and product teams;
• You are motivated on building tools to democratize data consumption throughout the company;
• You like studying and learning about new technologies on the data ecosystem, as well as keeping up to date on technologies you already know;
• You like to teach data-related subjects to people with less experience, fostering their development in the data career and;
• You are really motivated to contribute to a real data-driven culture and see the impact of your work reflected company wide.

WHO YOU ARE

• You are proficient in Python, Java, Go or a similar language;
• You are experienced in design and execution of data architectures and pipelines;
• You have a thorough microservices knowledge;
• You are proficient in scheduling tools and workflow management (e.g. Airflow, Dataflow);
• You have strong experience on building interfaces for data products (e.g. APIs);
• You have strong experience with data integration;
• You have deep knowledge on Datalakes architecture, file formats and modeling;
• You have consolidated experience with data storages, relational and NoSQL databases;
• You are familiar with Hadoop and Spark ecosystem;
• You have experience in Data streams ingestion and processing;
• You have had exposure to data infrastructure and Machine Learning Operations;
• You understand how people interact with data tools to drive the platform evolution.

WHAT WE OFFER YOU

We're a wellness company that is committed to the health and well-being of our employees. Our benefits include:

GYMPASS: We believe in our mission and encourage our employees and their families to find their passion too. Access digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more. You will receive the Gold plan at no cost, and other premium plans will be significantly discounted.

FITNESS: Additional fitness subsidy to access onsite gyms and fitness studios.

FLEXIBLE WORK: Choose when and where you work. For most, this will be a hybrid office/remote structure, but can vary depending on the needs of the role and employee preferences. We offer all employees a home office stipend and a monthly flexible work allowance to cover the costs of working from home.

FLEXIBLE SCHEDULE: We give our employees some flexibility to adjust their working hours, letting them adjust their starting time within a range of 3 hours. 

PAID TIME OFF: We know how important it is to take time away from work to recharge. Employees receive a minimum of 25 days paid holiday per year with an additional day for each year of tenure (up to 5) in addition to annual holidays (including an extra holiday on your birthday!).

PARENTAL LEAVE: 100% paid parental leave of 12 weeks to all new parents (of both biological and adopted children, regardless of gender and parent's relationship with the co-parent) + 100% paid birth leave of 14 weeks.

CAREER GROWTH: Outstanding opportunities for personal and career growth. That means we maintain a growth mindset in everything we do and invest deeply in employee development.

CULTURE: An exciting and supportive environment filled with passionate individuals from all over the world! You’ll partner with global colleagues and share in the success of a high-growth technology company disrupting the health and wellness space. Our value-based culture of trust, flexibility, and integrity makes this possible every day. Find more info on our careers page! 

And to get a glimpse of Life at Gympass… Follow us on Instagram @gympasscareers and LinkedIn!

Diversity, Equity, and Belonging at Gympass

We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong.  

Gympass is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Questions on how we treat your personal data? See our Job Applicant Privacy Notice.