Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and develop data architecture and infrastructure that aligns with business goals.

• Work collaboratively with Application Engineers, Product Managers, Solutions Architects, and various cross-functional teams.

• Create, develop, and uphold ETL processes and data pipelines to ensure effective data warehouse loading.

• Test, monitor, and enhance pipelines and ETL solutions for reliability, performance, and scalability.

• Gather and validate high-quality data.

• Ensure data integrity and uphold data governance standards.

• Promote data accessibility and democratization by maintaining well-documented data resources.

• Advise engineering teams on best practices in technical and data engineering.

• Contribute to the architecture of systems and platforms.

• Assist in onboarding new customers to data products.

• Participate in team on-call rotations.

• Collaborate with Solutions Delivery, Business Intelligence, Predictive Analytics, and Enterprise Services.

• Address, resolve, and support technical issues and requirements related to data.

• Facilitate data collection, processing, and delivery for healthcare and social care stakeholders.

⛳️ Requirements

• 6–8+ years of experience in designing, building, and operating data warehouses, data lakes, and ETL/ELT pipelines in production settings.

• Demonstrated experience in building, designing, or optimizing data pipelines with Snowflake.

• Familiarity with data transformation tools such as DBT.

• Expertise in architecting and optimizing both batch and streaming data pipelines.

• Advanced knowledge of SQL, including the ability to author complex queries and work with relational databases like Snowflake, Redshift, and Postgres.

• Strong Python skills for building, optimizing, and maintaining data pipelines and services.

• Experience with orchestration frameworks, such as Apache Airflow.

• Exposure to or experience with AWS services like S3, ECS, and RDS, including cloud-native data platforms.

• Familiarity with CI/CD pipelines, such as GitHub Actions and Jenkins.

• Experience with Kubernetes, Terraform, and Docker.

• Exposure to or experience with Kafka.

• Experience in developing or delivering data platforms or applications for large enterprise clients.

• Background or previous involvement with healthcare and/or social determinants of health data products, including healthcare claims and clinical data pipelines.

• Experience in designing high-performance, reliable systems and implementing operational best practices.

• Exposure to or experience with data quality frameworks.

• Experience in supporting analytics, reporting, or data user tools such as Tableau, Looker, ThoughtSpot, or Sigma.

• Strong problem-solving and troubleshooting abilities, including leading technical investigations.

• Excellent communication and cross-functional collaboration skills.

• BS/BA degree in Computer Science or equivalent experience.

• Must successfully pass a background check including criminal, employment, and education verification.

🏝️ Benefits

• Medical, dental, and vision insurance for team members and eligible partners and dependents.

• Unlimited virtual mental health and acute medical visits.

• Employee Assistance Program (EAP).

• Subscription to wellness platform.

• Flexible Time Off, including volunteer days and mental health days.

• 14 paid company-wide holidays.

• Paid parental leave, including for adoptive parents.

• Employee Resource Groups (ERGs).

• Health Savings Accounts (HSAs).

• Flexible Spending Accounts (FSAs).

• Commuter benefits.

• 401(k) with employer match, immediate vesting, and financial wellness resources.

• Company-paid life and AD&D insurance, with optional additional coverage.

• Disability coverage.

• Accident insurance.

• Pet insurance.

• Necessary work-from-home equipment, including computer, mouse, keyboard, and other approved supplies.