Senior Data Engineer

This is a fully remote position, open to applicants in Alaska, +6 more states.

📋 Description

• Conduct analysis of clinical data utilizing knowledge in healthcare and database management.

• Recognize and report on trends within clinical data.

• Create and develop modern data-focused software applications that support clinical and operational functions within the healthcare system.

• Construct data pipelines, execute transformations, enhance data processes, establish provisioning layers, and design user interfaces.

• Utilize cloud computing, big data, data science, and contemporary software development methodologies and frameworks.

• Provide mentorship and support to junior Data Engineers.

• Engage in research and the development of innovative technologies.

• Create standardized processes or templates for Data Engineers.

• Foster collaboration, ensure meticulous source control, and maintain thorough documentation.

• Generate straightforward solutions to intricate issues using modern and emerging techniques and tools.

• Collaborate closely with Product, Platform, and Architecture teams on shared initiatives.

⛳️ Requirements

• A bachelor's degree in Computer Engineering, Computer Science, Mathematics, or Engineering.

• At least 5 years of experience as a Senior Data Engineer.

• Preferred: A master's degree in Computer Engineering, Computer Science, Mathematics, or Engineering.

• Preferred: 8 years of data development experience.

• Preferred: Proficiency in advanced Hadoop, Spark, Kafka, Flink, and NoSQL platforms.

• Preferred: Expertise in advanced SQL, Python, and Linux-based processing.

• Preferred: Knowledge of OLAP and cloud data warehousing, including Snowflake, Synapse, Redshift, BigQuery, and dimensional models.

• Preferred: Experience with unstructured and multimodal data engineering, including EHR/EMR, HL7, FHIR, APIs, and clinical notes.

• Preferred: Familiarity with modern application development frameworks, such as FastAPI and Flask.

• Preferred: Experience with modern ETL/ELT tools, including ADF, Glue, Airflow, dbt, NiFi, Informatica, and Fivetran.

• Preferred: Knowledge in AI/ML, LLM, and prompt engineering, including LLM pipelines, RAG, LangChain/LlamaIndex, embeddings, and vector databases.

🏝️ Benefits

• Retirement 401(k) Savings Plan with employer matching.

• Comprehensive medical, dental, and vision healthcare benefits.

• Life insurance coverage.

• Disability insurance.

• Paid parental leave.

• Vacation and holiday time off.

• Time off for health-related issues.

• Voluntary benefits options.

• Access to well-being resources.

• Additional compensation opportunities may be available, including shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonuses.