Data Engineer

Posted 2 Days Ago
Hiring Remotely in United States
Remote
Senior level
Healthtech • Information Technology • Other • Software • Analytics
The Role
The Data Engineer will design and implement data pipelines, manage ETL processes, and transform data using Python and Spark within Databricks. The role requires expertise in Azure services and experience with data modeling, database connections, and large-scale data infrastructures.
Summary Generated by Built In

Emids is a leading provider of digital transformation solutions to the healthcare industry, serving payers, providers, life sciences, and technology firms. Headquartered in Nashville, emids helps bridge critical gaps in providing accessible, affordable, and high-quality healthcare by providing digital transformation services, custom application development, data engineering, business intelligence solutions, and specialized consulting services to all parts of the healthcare ecosystem. With nearly 2,500 professionals globally, emids leverages strong domain expertise in healthcare-specific platforms, regulations, and standards to provide tailored, cutting-edge solutions and services to its clients.

Job Title: Azure Data Engineer

Location: Louisville, KY (Remote)

Job Details:                   

Considering Python as the ETL tool for reading data from the source, handling datatype and data transformations, managing error handling, logging, and loading data into Databricks-managed Delta tables, the candidate should have strong expertise in Python, along with solid knowledge of Databricks and PySpark, enabling them to evaluate and perform data transformations within Databricks. They should be proficient in all aspects of Python, including classes, objects, methods, dictionaries, loops, Wheel files, and packages, and should be able to connect to various data sources, including databases and streaming data,

Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake is also required.

  • The ideal candidate has extensive experience in data engineering, working with large-scale data infrastructures, and optimizing ETL processes
  • Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake
  • At least 6+ years of experience in data engineering, with a focus on building data pipelines
  • Proven experience with Spark, Scala, and other related technologies
  • Familiarity with Could Warehouses, data lakes, storage formats.
  • Strong knowledge of data modeling and ETL processes
  • Experience leading data engineering projects.
  • Proven experience with Databricks and Apache Spark
  • Strong proficiency in Python
  • Experience in Unix shell scripting and scheduling tools


Here at Emids we're not scared of differences. It's how we break new ground. As we scale and elevate the experience of our clients in the Healthcare & LifeSciences Space and ultimately have an impact on every patient from every walk of life, the team we build must be reflective of the diversity that we serve. Together, we've built and will continue to grow, a diverse and inclusive culture where everyone has a seat at the table and the space to be their most authentic self. Emids believes in being an Equal Opportunity Employer and we support, celebrate, and cherish all the things that make our teammates who they are.

Top Skills

Python
Scala
The Company
HQ: Franklin, TN
2,100 Employees
On-site Workplace
Year Founded: 1999

What We Do

emids is healthcare's digital transformation leader, delivering business and tech solutions that help payers, providers and tech-enablers maximize technology to deliver care better.

As a global partner headquartered in Nashville, TN, emids helps bridge the critical gaps in accessible, affordable, high-quality healthcare by providing advisory consulting services, custom application development, and data solutions. Services include EHR application deployment and management, analytics, data integration and governance, software development and testing, and business intelligence.

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