Sr. Data Engineer

Posted 9 days agoViewed

💎 Seniority level: Senior, 5+ years of software development experience, 2+ years as a Data Engineer

📍 Location: United States, Denver, Colorado, New York, New York, Dallas, Texas, Lisbon, Portugal

💸 Salary: 190000.0 - 215000.0 USD per year

🔍 Industry: Healthcare

🗣️ Languages: English

⏳ Experience: 5+ years of software development experience, 2+ years as a Data Engineer

🪄 Skills: PythonSQLSnowflakeAirflowPostgresCI/CD

Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
5+ years of software development experience.
2+ years as a Data Engineer.
Strong SQL developer skills including experience in Postgres, Redshift, Snowflake or similar.
Experience developing and maintaining Airflow DAGs.
Excellent knowledge of Python, TypeScript, or other programming languages.
Experience implementing and maintaining CI/CD solutions.
Experience working with version control systems such as GitHub.
Strong written and verbal communication skills in English.

Contribute to all facets of the Cleerly data platform focusing on scale, performance, and reliability.
Work closely with business intelligence, data science, and operations teams, as well as interdepartmental stakeholders.
Build Airflow DAGs for data transformation and create normalized data structures to ingest disparate client data.
Contribute to CI/CD pipeline and capabilities, build validation and training data sets in coordination with data scientists.
Design methods for searching and storing large amounts of imaging data at scale, and generate aggregate reporting tables.

Posted 21 days ago

📍 USA, Canada, Mexico

🧭 Full-Time

💸 175000.0 USD per year

🔍 Digital tools for hourly employees

🔧 Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
7+ years of professional experience in software engineering including 5+ years of experience in data engineering.
Proven expertise in building and managing scalable data platforms.
Proficiency in Python.
Strong knowledge of SQL, data modeling, data migration and database systems such as PostgreSQL and MongoDB.
Exceptional problem-solving skills optimizing data systems.

💡 Responsibilities

As a Senior Data Engineer, your primary responsibility is to contribute to the design, development, and maintenance of a scalable and reliable data platform.
Analyze the current database and warehouse.
Design and develop scalable ETL/ELT pipelines to support data migration.
Build and maintain robust, scalable, and high-performing data platforms, including data lakes and/or warehouses.
Implement data engineering best practices and design patterns.
Guide design reviews for new features impacting data.

PostgreSQLPythonSQLETLMongoDBData engineeringData modeling

Posted 21 days ago

Posted about 1 month ago

📍 US

🧭 Full-Time

🔍 Healthcare

🔧 Requirements

8+ years of experience in data engineering with a strong background in data architecture and modeling.
5+ years of experience in data architecture, data modeling, and data governance, preferably for SaaS products or cloud applications.
Experience with healthcare data formats like CCDA, FHIR, HL7v2.
Strong knowledge in data modeling tools and languages such as ERD, UML, SQL, and NoSQL.
Expertise in Python and hands-on experience in Spark for large-scale data processing.

💡 Responsibilities

Build and optimize efficient, scalable data pipelines for ingestion, transformation, and enrichment.
Lead the design and development of a robust data architecture guiding data modeling and quality.
Monitor data issues and ensure data availability, reliability, and scalability for the SaaS product.
Define and maintain standards for data usage and compliance, collaborating across teams to align architecture with business goals.

PythonSQLCloud ComputingETLMachine LearningData engineeringNosqlSparkData modelingData management

Posted about 1 month ago