Senior Data Engineer

WineDirect is the leading provider of Direct-to-Consumer solutions for wineries. As the wine industry has increased focus on DTC sales over the past few years, we’ve been leading the charge with our all-in-one solution. With e-commerce, wine club management, point-of-sale, and order fulfillment – we have everything our clients’ need to develop and grow successful DTC programs. We facilitate more than 15 million orders representing over $2 billion in sales for our 2,000 winery clients annually. We are a dynamic and growing company that is driving towards even higher growth with one clear goal, that determines our focus each and every day – to be The Winery’s Champion. We do that through a strong culture of innovation and an unwavering focus on delivering the best to our clients.

We are seeking an energetic and highly motivated individual to fill a key position on our Enterprise Data Operations team. As a Senior Data Engineer at our American Canyon, CA office.

The Senior Data Engineer will use their experience with and understanding of server and serverless technologies to help shape and execute WineDirect’s roadmap for data flow and system architecture of the all-new Enterprise Data Platformand facilitate the transformation of WineDirect into a truly data -driven business and culture.

The Senior Data Engineer should understand the different types of Enterprise System data and their relevance to the core objectives of the platform; improving data analysis capabilities across corporate functions, including Finance, Accounting, Logistic and Ecommerce Operations, Marketing, Sales, etc.

You’ll also be a thought leader whose opinion is important in making technical decisions that affect the product. Whether your focus is coding, innovation or leading others, we have a spot for you.

What you’ll be doing:

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Who you are:

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5 years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Snowflake, Postgres, Oracle and SQL Server.
• Used data pipeline and workflow management tools: FiveTran, Azkaban, Luigi, Airflow, etc.
• Understanding of AWS cloud services: EC2, EMR, RDS, Redshift
• Knowledge of stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C , Scala, etc.

Why WineDirect:

• You will have the ability to transform the wine industry by facilitating winery’s ability to sell their products globally
• You’ll get to work with and support a stellar group of people who work together to care for our clients and their customers
• You’ll be empowered to make decisions, both to get the job done and to further your career
• We have a competitive compensation package including medical, dental and vision coverage as well as Life, Long Term Disability and AD&D at no cost to the employee and a 401 (k) plan.

WineDirect is an Equal Opportunity Employer.