Data Engineer

The Data Engineer will play a critical role in designing, building, and maintaining our data infrastructure and pipelines to enable efficient collection, storage, processing, and analysis of large-scale datasets.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Two years of experience in data engineering, data pipelines, and data services preferred.
• Familiarity with Agile/Scrum based development and methodology.
• Strong proficiency in programming languages such as Python, SQL, Spark, or Java, with experience in data manipulation, transformation, and analysis.
• Hands on experience with cloud-based data platforms and services such as AWS and Snowflake.
• Experience with distributed computing frameworks such as Apache Spark, Kafka, etc.
• Proficiency in database systems, data warehousing, data patterns/architectures, and SQL query optimizations.
• Familiarity with containerization and orchestration technologies such as Docker or Kubernetes.
• Excellent problem-solving skills, attention to detail, and ability to work effectively in a fast-paced and collaborative environment.
• Strong communication, interpersonal and teamwork skills, with the ability to interact with stakeholders at all levels of the data team.

Benefits

• Competitive Wages
• Health/Life Benefits
• Health Savings Account plus Employer Seed
• 401(k) Savings Plan with Company Match
• Paid Parental Leave
• Company Paid Holidays
• Paid Time Off including Volunteer Time
• Tuition Reimbursement
• Business Casual Environment
• Rewards & Recognition Program
• Employee Assistance Program
• Free parking
• Onsite gym
• Free snacks/drinks