Senior Data Engineer

• Designs and implements sophisticated software systems using either object-oriented or functional programming techniques implemented in Python, Scala or Java languages.
• Participate in, and adhere to, professional software engineering practices using such tools and methodologies as Agile Software Development, Test Driven Development, Continuous Integration, Source Code Management (git), Jira, and Stash
• Maintain an advanced level of proficiency with Computer Science/Software Engineering knowledge.
• Work well independently and as part of a team, mentoring junior engineers in routine, less-complex tasks, and leading small projects
• Other duties as assigned.

What you've accomplished

• Bachelor's or Master's in a related field, or commensurate experience
• 5+ years in Computer Science, with a proven track record of successful projects.
• 5+ years of experience operating and deploying solutions using AWS Service including S3, EMR, SQS, SNS, Lambdas, Athena, Glue, Kinesis, and MSK.
• 5+ years of experience with one or more of the following programming languages: Python, Scala, or Java
• 5+ years of experience with SQL.
• 5+ years of experience with big data technologies such as Cassandra, Spark, Hadoop, Parquet, Redash, etc.
• Advanced proficiency in building data integrations using both API and file-based protocols.
• Advanced proficiency with test-driven development and unit testing.
• Experience with Git Version Control or similar
• Experience with CI/CD pipeline patterns and best practices
• Proficiency with alerting and monitoring tools like Grafana
• Demonstrated ability to learn new technologies and languages.
• Able to put together process documentation concisely and clearly.
• Excellent written and verbal communication skills.
• Able to work closely and effectively with peer developers and work on several active projects simultaneously, including leading small projects.
• Solid experience implementing high-availability, scalable cloud solutions
• Strong understanding of data structures and algorithms
• Solid knowledge of functional programming languages and techniques, and object-oriented programming languages and techniques
• Solid knowledge of concurrency and concurrent programming techniquess and distributed computing techniques
• Knowledge and understanding of operating with data in large scale, including Machine Learning and Data Science concepts

TWCo Benefits/Perks

• Flexible Time Off program
• Hybrid work model
• Variety of medical insurance options, including a $0 cost premium employee coverage
• Benefits effective day 1 of employment include a competitive 401K match with no vesting requirement, national health, dental, and vision plans
• Progressive family plan benefits
• An opportunity to work for a global and industry-leading technology company
• Impactful work in a collaborative environment