Senior Data Engineer

📋 Description

• Design and implement enterprise data solutions for client projects.
• Collaborate with strategy and technology teams on data projects.
• Contribute to data strategy, data science, and data architecture.
• Develop and optimize data pipelines; wrangle data for insights.
• Build cloud-based data solutions across industries.
• Be a team player; help build a fast-paced, client-focused culture.

🎯 Requirements

• 3+ years in a Data Engineering role.
• Degree in CS, statistics, informatics, or quantitative field.
• Experience building and optimizing data pipelines and architecture.
• Experience wrangling, exploring, and analyzing data for insights.
• Strong project management and organizational skills.
• Consulting experience preferred.
• Big data tools: Hadoop, Spark, Kafka.
• Databases: Postgres, MySQL, SQL Server, Cassandra, MongoDB.
• Data pipeline/workflow tools: Azkaban, Oozie, Luigi, Airflow.
• Stream-processing: Storm, Spark-Streaming.
• Scripting: Python, Java, C++, Scala.
• Container orchestration: Kubernetes, Docker.
• Cloud providers: AWS, Google Cloud Platform, Azure.

🎁 Benefits

• Health, vision, dental, and life insurance.
• Mental health benefits.
• Prescriptions, fertility and adoption benefits.
• Paid parental leave and PTO.
• 14 paid holidays; 401(k) matching.
• Disability benefits; Flexible Spending Accounts.