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Telecommunications, Assistive Technology, Video Relay Services.

Data Engineer

United StatesRemoteFull Time$55–$55 /hrPosted 2 months ago

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Role summary

We are seeking an experienced Data Engineer with 3-8 years of experience in cloud environments, focusing on data modeling, ETL pipeline development, and data warehouse implementation. The role requires proficiency in data warehouse platforms like SQL Server, Oracle, Redshift, or Teradata, and exposure to Big Data ecosystems such as Hadoop and Spark. Candidates should have experience with Python, .NET, or Java, and a background in the healthcare domain, particularly with healthcare data or EDI transactions. Familiarity with API development and data product development is essential. Experience with cloud platforms like Azure, AWS, or GCP for data processing systems is required. The position also involves providing technical leadership and mentoring teams. This is a full-time, remote position.

Primary Skills: Cloud, Data Engineer, Health care, Stored Procedures, Performance Tuning

Description:

  • Minimum of 3 - 8 years of experience in data engineering with a focus on cloud environments.
  • Proven success in data modeling, ETL pipeline development, and data warehouse implementation.
  • Solid experience with data warehouse platforms such as SQL Server, Oracle, Redshift, or Teradata.
  • Exposure to Big Data ecosystems, including tools and technologies like NoSQL databases, Hadoop, Hive, HBase, Pig, Spark, or Elasticsearch.
  • Proficiency in Python, .NET, Java, or equivalent programming languages used for data engineering.
  • Experience in the healthcare domain, especially with healthcare data or EDI transactions.
  • Familiarity with API development and integration.
  • Background in data product development, integrating diverse data sources into unified platforms.
  • Hands-on experience in designing and managing data pipelines and distributed data processing systems using Azure, AWS, or GCP technologies (e.g., SQL Server, Redshift, S3, EC2, Data Lake, Data Factory).
  • Demonstrated ability to provide technical leadership and mentor teams on data engineering best practices.
  • Relevant Microsoft Azure certifications are a plus.
  • Proven track record of handling ambiguity, setting priorities effectively, and delivering results within agile frameworks.

Education:

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or an equivalent technical discipline.

Job Type: Full-time

Pay: $54.78 per hour

Expected hours: 40 per week

Benefits:

  • 401(k)
  • Health insurance
  • Vision insurance

Work Location: Remote

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