We are building a cross-functional team of data scientists, analysts, and engineers with the mission to bring the modeling and analytical capabilities of our marketing organization to the next level. As a Data Engineer with HelloFresh, you will support the analytic needs of our Growth organization for HelloFresh North America. You will play a pivotal role in helping us continue to succeed as the leading global meal kit provider. You will solve challenging data problems and will play a key part in developing our next-generation Data Platform to support all our operation processes, data sciences, and business intelligence data processing. Core responsibilities include designing and building scalable Python-based ELT/ETL workflows to transform and integrate data into Data Platform/Data Lake. You will also help make our data platform more scalable, resilient, and reliable.
To succeed in this role, you must demonstrate a desire to improve on existing techniques and processes and have a passion for working with data. You should provide expert-level advice to data scientists, data engineers, and operations to deliver high-quality analytics via data pipelines and APIs.
You will …
- Work together in a cross-disciplinary team of Data Scientists, Data Analysts, and Data Engineers to evolve our data pipeline, warehouse, and workflow systems to be more resilient, extensible, and maintainable
- Partner with the analytics and data science teams to provide the data and tools they need to solve complex problems
- Identify improvements in the flow of our data, including designing tests
- Work with new technologies (both self-managed and services) for moving, transforming, modeling, and storing data and make recommendations
- Build and maintain complex and scalable ETL pipelines
- Collaborate with various teams to design a data analytic solution and data model that meets the needs of the business
You are…
- Collaborative: you can work hand in hand with stakeholders, data scientists, engineers, and other data professionals to identify needs and opportunities for improved data management and delivery.
- Sense of ownership: you take responsibility for your projects and pride in your work.
- Strategic & critical thinking: you get the smaller and the bigger picture.
- Creative critical thinker and problem solver with meticulous attention to detail
- Ability to function in a fast-paced environment and have the flexibility to change course based on business needs or environmental conditions
At a minimum, you have…
- Bachelors in a STEM subject. E.g. Computer Science, Data Science, Math, etc
- At least two years two years experience designing and building highly scalable data pipelines using Airflow & Databricks
- At least two years of professional experience in Data Warehouse/Data Lake. Past experience in Marketing Analytics is a plus.
- Experience with Python, Spark, Databricks, DBT, Terraform, Snowflake, AWS (EMR, EC2, S3, etc.)
- Strong SQL, strong knowledge of databases, and experience in developing data pipelines. Solid knowledge of Python (packages: PySpark/ Pandas & Numpy). Experience with Snowflake & Databricks is a plus.
- Technical skills, including architecture/design, data modeling, and developing services
- An understanding of database design and ETL practices
- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to engineering teams and business audiences
You’ll get…
- Competitive hourly rate, 401K company match that vests immediately upon participation, & team bonus opportunities
- Generous PTO and flexible attendance policy
- Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
- Up to 75% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)
- Access to 7 different Employee Resource Groups (ERGs) including those for BIPOC, women, veterans, parents, and LGBTQ+
- Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain
This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.