Senior Data Engineer

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

📋 Description

• Design, create, implement, and sustain scalable data pipelines and enterprise data solutions.

• Ingest, transform, integrate, and deliver intricate data from various sources.

• Develop and uphold architecture standards, reusable frameworks, and best practices in data engineering.

• Construct automated systems for data ingestion, transformation, and orchestration, utilizing cloud-native and open-source tools.

• Optimize data storage and processing within data lakes and cloud data warehouses, specifically using Azure and Databricks.

• Create and supervise batch and streaming data processes to ensure accuracy, consistency, and timeliness.

• Maintain documentation and lineage tracking for datasets and pipelines.

• Collaborate with analysts, data scientists, software engineers, business stakeholders, contractors, and external vendors.

• Review and enhance team members’ contributions to meet quality and performance standards.

• Provide technical guidance to junior team members.

• Utilize Databricks, dbt, Azure Data Factory, and SQL to design and deploy data engineering solutions.

• Integrate APIs, structured, and unstructured data sources, along with third-party systems into centralized data platforms.

• Assess and implement technologies that enhance scalability, observability, and automation.

• Propose improvements to infrastructure, processes, and automation to boost efficiency, lower costs, and enhance performance.

⛳️ Requirements

• Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related discipline.

• Over 5 years of experience in data engineering with a demonstrated history of developing cloud-based, production-grade data pipelines.

• Strong proficiency in Databricks, SQL, dbt, Python, and cloud data ecosystems like Azure.

• Experience handling structured and semi-structured data from a variety of domains.

• Familiarity with CI/CD pipelines, orchestration tools (e.g., Airflow, Azure Data Factory), and contemporary software engineering practices.

• Excellent analytical and problem-solving abilities, with the capacity to tackle complex data issues and pursue scalable solutions.

• Capability to use keyboards and other computer equipment effectively.

• Must be able to work remotely within the United States.

• Care Access is currently unable to sponsor work visas.

🏝️ Benefits

• Paid Time Off (PTO) and Company Paid Holidays.

• 100% Employer-covered medical, dental, and vision insurance plan options.

• Health Savings Account and Flexible Spending Accounts.

• Bi-weekly employer contributions to HSA.

• Company-covered Short-Term and Long-Term Disability insurance.

• 401(k) Retirement Plan with Company Match.