Senior Data Engineer
Remote - USA
Who we are
Drizly is the world’s largest alcohol marketplace and the best way to shop beer, wine and spirits. Our customers trust us to be a part of their lives – their celebrations, parties, dinners and quiet nights at home. We are there when it matters - committed to life’s moments and the people who create them. We partner with the best retail stores in over 1400 cities across North America to serve up the best buying experience. Drizly offers a huge selection and competitive pricing with a side of personalized content. That is what we do. Who we are is a different story.
We are more than just another tech company. There is an intellectual curiosity that occurs at Drizly. We have a desire to question, to understand, to figure it out. Bottom line, we solve it. We value not just the truth but the process to get to the truth, to deliberate, decide and then act. Most importantly, we care. We care about our customer. We care about our company. We care about our team. There will be long days and incredible challenges.
We are blazing a trail in an industry that hasn’t changed in nearly a century, and that doesn’t scare us (well, not all the time) -and even when it does, it doesn’t stop us, it energizes us.
Do you see yourself here? Read on.
Who you are
You get excited by the evolving landscape of big data solutions and setting up the infrastructure to enable other teams to harness them, and you have a track record of doing just that. Namely, you’ve stood up real-time systems at least a couple of times. When thinking of problems at-scale, you run toward challenges full-speed. You love working with teams like Data Science and Business Intelligence to see how fast you can transform data into something hugely impactful for business decisions.
You thrive in a hyper fast paced environment that focuses on real-world, customer centric problems with iterative technical solutions. Your toolkit includes having deep experience standing up infrastructure systems, utilizing AWS, highly advanced software development skills, Kafka, and/or Kinesis.
We’d be really impressed if you’ve had experience in eCommerce environments with massive amounts of clickstream and eventstream data, we’re talking close to a billion events.
What the role is
The Senior Data Engineer will help accelerate building Drizly’s real time event streaming infrastructure through a period of rapid growth. From building and supporting our Kafka infrastructure to process 1B+ events to being thought partners to teams looking to integrate with Kafka, this person will help enable adoption of Kafka across Drizly.
You will be a critical member of our Engineering organization, primarily responsible for building and maintaining our Kafka ecosystem. In addition, You will help us enable teams to integrate with our Kafka ecosystem through self service tools. In short, the Data Engineer will help define the building blocks for Drizly’s real-time streaming capabilities.
Drizly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status
BEFORE YOU APPLY...
We ask that you please remove all identifying information from your resume before you upload it on the next page in an effort to help us remove unconscious bias from our resume review process. Drizly is committed to cultivating an inclusive environment where a diverse group of people can and want to do their best work, and that starts with our hiring practices. Identifying information includes your name, photos, LinkedIn URL, email address and more.
Drizly is the world’s largest alcohol marketplace and the best way to shop beer, wine and spirits. Our customers trust us to be a part of their lives – their celebrations, parties, dinners and quiet nights at home. We are there when it matters - committed to life’s moments and the people who create them. We partner with the best retail stores in over 1400 cities across North America to serve up the best buying experience. Drizly offers a huge selection and competitive pricing with a side of personalized content. That is what we do. Who we are is a different story.
We are more than just another tech company. There is an intellectual curiosity that occurs at Drizly. We have a desire to question, to understand, to figure it out. Bottom line, we solve it. We value not just the truth but the process to get to the truth, to deliberate, decide and then act. Most importantly, we care. We care about our customer. We care about our company. We care about our team. There will be long days and incredible challenges.
We are blazing a trail in an industry that hasn’t changed in nearly a century, and that doesn’t scare us (well, not all the time) -and even when it does, it doesn’t stop us, it energizes us.
Do you see yourself here? Read on.
Who you are
You get excited by the evolving landscape of big data solutions and setting up the infrastructure to enable other teams to harness them, and you have a track record of doing just that. Namely, you’ve stood up real-time systems at least a couple of times. When thinking of problems at-scale, you run toward challenges full-speed. You love working with teams like Data Science and Business Intelligence to see how fast you can transform data into something hugely impactful for business decisions.
You thrive in a hyper fast paced environment that focuses on real-world, customer centric problems with iterative technical solutions. Your toolkit includes having deep experience standing up infrastructure systems, utilizing AWS, highly advanced software development skills, Kafka, and/or Kinesis.
We’d be really impressed if you’ve had experience in eCommerce environments with massive amounts of clickstream and eventstream data, we’re talking close to a billion events.
What the role is
The Senior Data Engineer will help accelerate building Drizly’s real time event streaming infrastructure through a period of rapid growth. From building and supporting our Kafka infrastructure to process 1B+ events to being thought partners to teams looking to integrate with Kafka, this person will help enable adoption of Kafka across Drizly.
You will be a critical member of our Engineering organization, primarily responsible for building and maintaining our Kafka ecosystem. In addition, You will help us enable teams to integrate with our Kafka ecosystem through self service tools. In short, the Data Engineer will help define the building blocks for Drizly’s real-time streaming capabilities.
In this role you will:
- Build and maintain our Kafka ecosystem, and code new libraries and tools to make Kafka easier to adopt
- Troubleshoot issues at the core of our application or infrastructure layer
- Build processes that unlock data potential for various parts of the business
- Define new strategies that will enable our Data Science and Business Intelligence teams to incorporate new data sources
- Serve as a subject matter expert when it comes to the way our real-time streaming systems and capabilities
The Other Stuff:
- Salary Range: $140,000 - $170,000. Your compensation will be based on your experience level, skills, and location within the United States
- One-on-one professional coaching with external expert
- Health, Dental and Vision Insurance
- Flexible vacation policy
- Commuter benefits 401(K) Plan
- Added perks
Drizly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status
BEFORE YOU APPLY...
We ask that you please remove all identifying information from your resume before you upload it on the next page in an effort to help us remove unconscious bias from our resume review process. Drizly is committed to cultivating an inclusive environment where a diverse group of people can and want to do their best work, and that starts with our hiring practices. Identifying information includes your name, photos, LinkedIn URL, email address and more.
Tags: AWS Big Data Business Intelligence E-commerce Engineering Kafka Kinesis Streaming
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Insurance Team events
Regions:
Remote/Anywhere
North America
Country:
United States
Job stats:
6
2
0
Category:
Engineering Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs