Sr Data Engineer (Remote, US)

Digi SmartSense, LLC
186 Lincoln Street
8th Floor
Boston, MA 02111, USA

Join a high-performing, tight-knit team at a fast-growing company that is using the Internet of Things (IOT) to transform how organizations sense, monitor, and make decisions. Founded out of MIT in 2005, Smart Sense is trusted by more than 2,000 organizations, including Walmart, SpaceX, Apple, CVS Health, Coca-Cola, and the US State Department to help them make sensor-driven decisions. We have a solution that our customers rely on every day to make mission critical decisions; we are looking for team-oriented change agents to help shape the future of IOT.

LOCATION: Hybrid to SmartSense headquarters in Boston, MA



Position

Data Services team members are passionate about data products, engineering data flows, storage, and enabling predictive analytics. We are inspired by data products and data services and in building and delivering tools, infrastructure, frameworks that enable insights of our business increasing the value of our data to our customers. As good stewards of our data we contribute to all aspects related to the handling of data, whether from monitoring data flows, our field sensors, PII (Personally Identifiable Information), or reflecting internal processes such as our supply chain.



What We Offer

In this Sr. Data Engineer role, you will contribute to strategic data engineering solutions moving data from raw to cold storage, through ETL (Extract, Transform, Load) pipelines, to data sets used to train ML (Machine Learning) models. You will collaborate with our Data Science, Business Analysts and Machine Learning Engineers producing quality data flows, transformations, and cleansing towards improved data products for the customer. You will facilitate the democratization of data for data scientists to experiment and train machine learning models and business analysts supporting the enterprise. You will have an enthusiasm and drive to deliver data products that exceed expectations, a passion for data engineering and bring an eagerness to learn. This is an exciting opportunity for an engineer ready to bring this enterprise forward on our data maturity path towards predictive analytics. Join us on our data journey.



What You Will Do

Join a tightly knit team solving hard problems the right way
Understand the various sensors and environments critical to our customers’ success
Know the data flows and technology that are currently in use to transform raw data into analytic products
Build relationships with the awesome team members across other functional groups
Learn our code practice, work in our code base, write tests, and collaborate with us in our workflows
Contribute to on-boarding processes and make recommendations to make on-boarding process better
Demonstrate your capabilities defining solutions, implementing, and delivering data products for your user stories and tasks
Contributing to systems and processes to implement and automate quality on data pipeline deliverables
Implement data tests for quality and focuses on improving inefficient tooling and adopting new transformative technologies while maintaining operational continuity.
Contribute to the quality of data and the pipeline after working closely with the product team and stakeholders to understand how our products are used
Identify opportunities to improve our infrastructure, operational performance, and data pipeline deliverables
Evaluate new technologies and build proof-of-concept systems to enhance Data Engineering capabilities and data products
Contribute to improving the efficiency of our pipeline scripts, automation, and general data operations
Demonstrate command and accountability for the design and implementat