Unite Us is hiring a
Senior Data Engineer

Summary

The job is for a Senior Data Engineer at Unite Us, a company that aims to improve healthcare and social services. The role involves implementing data architecture, creating ETL pipelines, collecting and validating data, championing data democratization, and supporting operational work. The ideal candidate should have 6-8 years of experience with data warehouses, data lakes, and ETL pipelines, proficiency in cloud services like AWS, and advanced SQL knowledge.

Requirements

• At least 6-8 years of experience in working with data warehouses, data lakes, and ETL pipelines
• Proven experience with building optimized data pipelines using snowflake
• Strong experience with Spark using Scala and Python
• Strong experience building streaming pipelines with Kafka
• Expert in orchestrating data pipelines using Apache Airflow, including authoring, scheduling, and monitoring workflows
• Exposure to AWS and proficiency in cloud services such as ECS, S3, RDS, etc
• Experience with tools like Kubernetes, Terraform, Docker, Kafka, and DBT
• Advanced SQL knowledge, with experience in pulling complex queries, query authoring, and strong familiarity with Snowflake and various relational databases like Redshift, Postgres, etc
• Experience in developing applications for large enterprise clients
• Previous engagement with healthcare and/or social determinants of health data products
• A dedicated focus on building high-performance systems
• Exposure to building data quality frameworks
• Experience using and building solutions to support various reporting and data user tools (Tableau, Looker, etc)
• Strong problem-solving and troubleshooting skills, with the ability to identify and resolve data engineering issues and system failures
• Excellent communication skills, with the ability to communicate technical information to non-technical stakeholders and collaborate effectively with cross-functional teams

Responsibilities

• Implement a data architecture and infrastructure that aligns with business objectives
• Collaborate closely with Application Engineers and Product Managers to ensure that the technical infrastructure robustly supports client requirements
• Create ETL and data pipeline solutions for efficient loading of data into the warehouse along with their testing to ensure reliability and optimal performance
• Collect, validate, and provide high-quality data, ensuring data integrity
• Champion data democratization efforts, facilitating accessibility to data for relevant stakeholders
• Guide the team with regard to technical best practices and contribute substantially to the architecture of our systems
• Supporting operational work like onboarding new customers to our data products and participating in on-call for the team
• Engage with cross-functional teams, including Solutions Delivery, Business Intelligence, Predictive Analytics, and Enterprise Services, to address and support any data-related technical issues or requirements

Benefits

• Medical, Dental, and Vision insurance
• Wellness benefits such as the Employee Assistance Program (EAP) and wellness platform subscription
• Flexible Time Off, including volunteer days and mental health days
• Paid Parental Leave for adoptive parents
• Employee Resource Groups that celebrate and support a diverse and inclusive workplace
• Spending Accounts including tax-advantaged health savings accounts (HSAs), flexible spending accounts (FSAs), and commuter benefits
• 401(k) + Employer Match with immediate vesting and financial wellness resources
• Life and AD&D - a company paid benefit, with the option to purchase additional coverage for yourself and your dependents
• Disability Coverage
• Accident Insurance
• Pet Insurance