Data Engineer (REMOTE)
Company: Penn Interactive
Location: Portland
Posted on: June 20, 2022
Job Description:
Summary Penn Interactive (PI) is an interactive gaming company
headquartered in Philadelphia. PI is the digital arm of Penn
National Gaming (NASDAQ: PENN), the largest regional casino
operator in the U.S.). Our mission is to challenge the norms of the
gaming industry by building an immersive interactive gaming
experience that is responsible, innovative, and fun. Through our
partnership with Barstool Sports, we are hoping to continue to
launch our online sportsbook and iCasino across the US. We are
committed to helping our team members grow and succeed. We believe
that hiring talented individuals that love what they do will help
us win!We are looking for a Data Engineer to join the Data team. As
a Data Engineer, your main goal is to be one step ahead of data
scientists and business intelligence analysts. You will support
them by providing infrastructure and tools they can use to deliver
end-to-end solutions to business problems that can be developed
rapidly and maintained easily. This is more than building and
maintaining ETL pipelines. We need innovation, creativity, and
solutions that will have a significant impact on the client's
velocity. Responsibilities
- Design, implement, deploy and operate large-scale, high-volume,
high-performance data structures for analytics and data
science
- Develop the end-to-end automation of data pipelines, making
datasets readily-consumable by visualization tools and notification
systems
- Interface with other technology teams to extract, transform,
and load data from a wide variety of data sources using SQL and AWS
technologies
- Building robust pipelines for the continuous and non-intrusive
collection of system data from our applications, and ensuring that
the data is consistent and reliable.
- Working with the software and product teams in understanding
the business requirements and implementing solutions to support
analytical and reporting needs.
- Identifying trends and anomalies in the application data to
build monitoring systems and automated processes to optimize system
performance and manage failures.
- Ability to balance and prioritize multiple conflicting
requirements with high attention to detail.
- Continually improve ongoing reporting and analysis processes,
automating or simplifying self-service modeling and production
support for customers
- Build, improve, and maintain ELT pipelines and help scale our
data warehouse
- Improve the foundations of our streaming data capabilities
- Write and maintain Terraform to safely deploy tools and
services Requirements
- 2+ years professional experience as a Data Engineer
- Experience in software engineering or operations in a
full-stack development environment
- Proficiency in Python, SQL
- Experience with Airflow or similar tools
- Experience with DBT or similar tools
- Experience with API integration to automate business processes,
and enhance the sharing and embedding of data between various
applications and systems
- Experience with cloud platforms, preferably AWS (eg. Redshift,
Lambda, Glue, Kinesis, DynamoDB, S3, etc.)
- Experience provisioning services using Docker, Kubernetes with
Terraform, Cloudwatch, GitHub, etc.
- Ability to convert complex problems into concrete requirements
and build innovative solutions
- Ability to communicate clearly, efficiently, and empathetically
with technical and non-technical stakeholders
- Bonus: Experience in any of Tableau, Mode, Datadog, Looker,
ThoughtSpot, etcSomething to leave you withPenn Interactive is
committed to helping our team members live their best, healthy
life. We offer unique and competitive benefits that help our team
members stay healthy and safe. Some of our competitive benefits
include:
- Flexible paid time off options and holiday time
- A multi-carrier marketplace that has a wide array of medical,
dental, and vision insurance options
- 401K saving & matching program
- Collaborate and flexible working environments
Keywords: Penn Interactive, Portland , Data Engineer (REMOTE), Engineering , Portland, Maine
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