Senior Data Engineer

Sr. Data EngineerReady for your next big challenge?We are looking for a great Senior level Data Engineer to join our growing team and help push sports analytics to the next level!This role will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.The Data Engineer will support our software developers, devops engineers and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be collaborative and excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.So - what is Pumpjack Dataworks?Pumpjack Dataworks is a Customer Data Platform designed to extend and enrich fan databases, to help Sports & Entertainment right holders manage and monetize their fan data. We're already working with top tier teams such as the Major League Rugby, Dallas Mavericks, Real Madrid, Inter Miami CF, Hong Kong Rugby, World Table Tennis, and plenty of others.We've closed a successful investment round, have multiple investments from industry leaders, and are rapidly marching toward a Series A. We're gearing up for this rocket ride and are looking to bring some top shelf talent along with us.Primary ResponsibilitiesCreate 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, NoSQL, Graph and 'big data' technologies.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 cloud provider regions.Create data tools for analytics 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.Required ExperienceAdvanced working knowledge and experience working with relational databases, non relational databases, graph 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. Ideally they should also have experience using the following software/tools:Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres.Experience with Databricks or AWS cloud servicesExperience with stream-processing systems: Kafka, Storm, Spark-Streaming, etc.Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.What We OfferOpportunity: With a small, core team of talented people, iterating and scaling fast, you'll be hands-on and learning right away.Location: We have three locations - Dallas-Fort Worth, Denver, and London, but offer remote opportunities anywhere in the US or CanadaCulture: We strive to be welcoming and inclusive. As a core team member, you'll be active in recruiting decisions ensuring we build a culture you want to be part of.Salary: A competitive salary with stock options.Benefits: Option to join a Health, Vision and Dental benefits plan with growing benefits as the company is growing. For contractors, insurance benefits follow a probation period.Time-Off: Flexible PTOSports Access: We offer opportunities to meet with professional sports franchises and engage with some events (live and virtual)Please note: Individuals must be legally authorized to work in the US without sponsorship.