Data Engineer at Aptos

Job Description

Data Engineer at Aptos

Making a job change is a big decision. Why consider Aptos?

You will join a team of remarkable colleagues who are committed and passionate about creating and delivering leading-edge solutions to the retail market. You will be part of an exciting growth journey where we will do everything possible to help you reach and exceed your career dreams. Our colleagues have access to industry-leading training and development opportunities, and the chance to work in a global, diverse culture with offices in 13 countries. You will be part of an inclusive culture that is grounded in our Company’s purpose: to make a difference for every colleague, every client, every day.

With years of deep retail DNA, Aptos has been a market-leading platform that drives the world’s largest retailers’ product, promotion, commerce and merchandising decisions across online and brick-and-mortar operations. The opportunity at Aptos has never been greater, as we transition our solutions to cloud-native, microservices architecture. More than 135,000 retail locations impact nearly $2 trillion in annual revenue across fashion, grocery, drug, convenience, general merchandise, discount and sporting goods stores optimized with Aptos’ solutions. We hope you’ll be a part of taking innovative solutions to market with the leader in Unified Commerce.

Revionics is investing in their Data Platform and is growing the team. This role would be a junior role in the team that is responsible for driving the overall system design, architecture, scalability, reliability, and performance of end-to-end data systems.

Who you are:

• Bachelor’s degree in Computer Science, Computer Engineering, CIS/MIS, or a related field 

• You have 1+ years of development experience with one or more of the following, or another similar language: Python/Scala (or similar) 

• Some exposure to different non-relational (MongoDB or similar) and/or relational technologies (SQL)

• Exposure to orchestration tools (e.g. Luigi, Airflow, Kubeflow etc.) 

• Interested in big data technologies likes Spark 

• Exposure to cloud platforms (AWS/GCP) a plus

• Able to communicate, collaborate, and work effectively in a distributed team.

• Can think about and write high quality code and can demonstrate that capability, be it through job experience, schoolwork, or contributions to community projects.

• Solid understanding of software engineering concepts and methodologies

• Familiarity with software testing principles

• Enjoy tough technical challenges and are naturally intellectually curious

What you’ll do:

• In this role, you will be defining and developing modular data pipelining solutions to feed the AI/ML systems that power Revionics’ pricing products

• Work with Product and Science teams to build data products that enable some of the largest retailers in the world to consume and build upon Revionics’ AI/ML platform.

• Collaborate with data operations to build native observability services that meet the high bar in terms of visibility and precision for AI/ML software.

We also look for

• Passion

• Initiative and a Pioneering Spirit

• Quality orientation

• Resourcefulness and application

The pay range for this position is between $75,000 and $95,000 plus Annual; Incentive Bonus. Starting salary may vary based on a number of factors including, but not limited to, the position being offered, location, education, training, and/or experience.

We offer a competitive total rewards package including a base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. 

Equal Employment Opportunity Statement

Aptos is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.