Software Engineer, Data
Penn Interactive
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $115,000 - $160,000 per year
Job Level
JuniorMid-Level
Tech Stack
AWSAzureBigQueryCloudDistributed SystemsGoogle Cloud PlatformJestKubernetesPythonRSpecSQL
About the role
- As part of the Data Engineering team, you will be working with a team of smart, friendly, and dedicated Data Engineers, Analysts, and Data Scientists determined to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience.
- Collaborate with Data Science, Reporting, Analytics, and other engineering teams to build data pipelines, infrastructure, and tooling to support business initiatives
- Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture
- Collaborate with the team to meet performance, scalability, and reliability goals
- Write out tests and thorough documentation for processes and tooling
- Adapt to working with new technologies and frameworks, sometimes headlining the investigation into their usefulness to the team
- Maintain and expand existing systems, tooling, and infrastructure
- Maintain the data warehouse ensuring data integrity and performance
- Take ownership of projects, plan and collaborate with other members of the Analytics and Reporting teams or others within the company
- Other duties as required.
Requirements
- A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms, and software design
- 2+ years of experience in data engineering
- Strong knowledge of Python
- Strong knowledge of relational databases and SQL
- Experience building out a scalable infrastructure to fit the needs of a growing company
- Experience in data ingestion, processing, and orchestration. Including Third-Party APIs, Change Data Capture, Streaming Data.
- Experience with BigQuery, Snowflake, or other cloud, SQL-based data warehouses
- Experience with at least one major cloud platform (AWS, GCP, Azure)
- Experience with Kubernetes
- Experience with testing frameworks such as RSpec, Jest, pytest or equivalent
- Strong organization and collaboration skills
- Excellent written and oral communications skills.
Benefits
- Competitive compensation package
- Fun, relaxed work environment
- Education and conference reimbursements.
- Opportunities for career progression and mentoring others
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data structuresdistributed systemsalgorithmssoftware designPythonrelational databasesSQLdata ingestiondata processingdata orchestration
Soft skills
organizationcollaborationwritten communicationoral communication