Data Engineer - Dallas, United States - Wiliot

Description

Wiliot was founded by the team that invented one of the technologies at the heart of 5G.

Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnected from the IoT.

This revolutionary mixture of cloud and semiconductor technology is being used by some of the world's largest consumer, retail, food, and pharmaceutical companies to change the way we make, distribute, sell, use, and recycle products.

We're driven by our passion for sustainability, ESG and waste reduction.

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo.

We are growing fast and need people that want to be part of the journey, commercializing Sensing as a Service and enabling "Intelligence for Everyday Things".

We are seeking an experienced data engineer to join our team and evolve our data and ML infrastructure.

You will play a crucial role in bridging the gap between our clients, data science, data analytics, platform, and cloud teams.

You will collaborate closely to understand their data requirements, design, and implement scalable data solutions, and provide ongoing support to ensure successful integration and utilization of our IoT products.

You will be responsible for managing data pipelines, optimizing data workflows, and transforming raw data into structured data solutions.


Responsibilities:
Develop machine learning applications according to requirements
Partner with data scientists to co-deliver data products
Engage directly with clients to understand their data needs and provide data engineering expertise.
Collaborate with cross-functional teams to design and implement data pipelines that meet client requirements and align with Wiliot's infrastructure.
Develop efficient data workflows to enable seamless data ingestion, transformation, storage, and retrieval.
Implement data quality rules/checks, data validation, and monitoring processes to ensure data integrity and accuracy.
Troubleshoot data-related issues and provide timely resolution to ensure client satisfaction.
Provide training and documentation to clients on data integration best practices and usage of Wiliot's data products.


Requirements:
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
Proven experience as a Data Engineer, preferably in a client-facing role.
Strong programming skills in languages such as Python, Java, or Scala.
Proficiency in designing and implementing data pipelines using technologies like Apache Kafka, Apache Spark, or similar frameworks.
Experience in Databricks preferred
Understanding of batch vs streaming based data pipelines and ML models
Familiarity with cloud-based data storage and processing platforms such as AWS, GCP, or Azure.
Experience with SQL and NoSQL databases, data modeling, and database optimization techniques.
Strong communication and interpersonal skills to effectively interact with clients and internal teams.
Ability to manage multiple projects and prioritize tasks in a fast-paced environment.

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