46 applicants

Company

Alpine Physician Partners · 7 hours ago

Data Engineer III

Denver, CO

Full-time

Remote

Senior Level

$90K/yr - $135K/yr

6+ years exp

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Responsibilities

Owns solution design blueprints and architecture of the enterprise data platform features and functionality, including data ingestions, data integrations, data pipelines, data models, data quality, data governance.

Plays technical leadership role and leads other team members and guides them on solution design blueprints, data solutions development, and best practices for our enterprise data platform.

Designs, builds and maintains scalable, automated data pipelines to enable Reporting, Data Visualization, Advanced Analytics, Data Science, and Machine Learning solutions.

Supports critical data pipelines with a scalable distributed architecture, including data ingestion (streaming, events, and batch), data integration (ETL, ELT, Azure Data Factory), and distributed data processing using Databricks Data & Analytics and Azure Cloud Technology Stacks.

Builds cloud data solutions using multiple technologies, such as SQL, Python, Data Lake (Databricks Delta Lake), Cloud Data Warehouse (Azure Synapse), RDBMS, NoSQL databases.

Takes part in regular Scrum activities (daily standup meetings, weekly planning poker, post-sprint retrospectives, etc.)

Addresses issues in data flow logic and data model design, as well as the interoperability of new datasets with existing data models

Participates in and conducts code-reviews for all changes to the codebase and conveys coding standards clearly and concisely

Tests work on each assignment before working with Product Owners to ensure business requirements are fulfilled

Coordinates identification of requirements and recommending new data features in conjunction with development manager, product owners, and department managers

Acts as a subject matter expert by sharing information and providing support and training to others, as well as spearheading team projects and establishing goals and milestones for projects

Ensures goals and commitments to the team are met

Adheres to the company’s Compliance Program and to federal and state laws and regulations

Other duties as assigned

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLPythonApache SparkDatabricks Technology StackAzure Cloud ServicesETLELTData LakeAzure SynapseData modelingData analysisRDBMSNoSQL databasesHadoopHiveKafkaFHIRHL7CSVEDIVisual Studio.NET technologiesC#Agile/ScrumMicrosoft Office SuiteCustomer service skillsMentoringTeamwork skills

Required

Minimum 6 years of experience required in creating robust enterprise-grade data engineering pipelines using SQL, Python, Apache Spark, ETL, ELT, Databricks Technology Stack, Azure Cloud Services, Cloud-based Data and Analytics platforms required.

Minimum 3 years of experience required in solution design blueprinting and leading technical team members towards delivery of robust enterprise-grade data platform solutions.

Strong proficiency in SQL and data analysis required.

Bachelor’s degree in computer science, information systems, or equivalent work experience.

7+ years working with the following concepts and technologies: Relational and Dimensional Data Models, T-SQL, Microsoft SQL Server, etc.

Data integration strategies and supporting technologies.

Electronic data exchange (FHIR, HL7, CSV, EDI, etc.)

Preferred

8-10 years preferred.

Experience in distributed data (structured, semi-structured, unstructured, streaming) processing techniques using Apache Spark, Hadoop, Hive, Kafka, and big data ecosystem technologies preferred.

Experience in data modeling and design for data warehouse, relational databases, and NoSQL data stores preferred.

Experience migrating on premise data warehousing solutions to Azure solutions (preferred).

Experience with Visual Studio and .NET technologies such as C# (preferred).

Experience working with common health care datasets (preferred).

Experience working on an agile/scrum-driven software development team.

Ability to mentor others.

Excellent verbal and written communication skills.

Great customer service skills.

Great teamwork and leadership skills.

Independent problem-solving skills.

Self-motivated and self-managed.

Proficient in Microsoft Office Suite.