Data Engineer - Reno, NV (Remote or Hybrid)

Mercury Group Staffing and Placement Services; Reno (NV); Hybrid; USD 81,044 - 113,472; Full time

Job summary

A staffing agency is seeking an experienced Data Engineer for a dynamic role in Reno, NV offering remote or hybrid options. The ideal candidate will have extensive experience with AWS infrastructure, SQL programming, and developing data pipelines. This position requires strong communication skills and a mastery of data management principles, with the chance to work on innovative projects that impact the healthcare industry. If you meet these qualifications, we encourage you to apply.

Qualifications

• 3+ years of SQL programming and tools like SSIS, SSMS, SSRS.
• 10 years of experience in data management or engineering.
• Extensive hands-on experience with AWS data migration.

Responsibilities

• Optimize data movement and validation from Epic EMR to SQL databases.
• Oversee the data engineering lifecycle including research and maintenance.
• Design and implement ETL processes including data quality and monitoring.

Skills

SQL programming

AWS infrastructure

Data ingestion and processing

Communication skills

Education

Masters degree or Bachelor's with equivalent experience

Tools

Visual Studio

Microsoft Office Suite

Job description

Data Engineer - Reno, NV (Remote or Hybrid)

Job Title: Data Engineer
Location: Reno, NV (Remote or Hybrid)
Salary Range: $58.83-$82.37 per hour

Primary Responsibilities:

• Experience with AWS infrastructure including AWS Connect and AWS Lambda.
• Manage and optimize the movement and validation of data from an Epic EMR system to SQL databases in AWS or Azure and either from or to the Salesforce platform.
• Accountable for data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance.
• Oversee the development of novel data pipelines that integrate and normalize large data from a variety of sources to enable learning health, machine learning model development, and deployment.
• Design, direct, and implement ETL processes, including data capture, data quality, testing, and validation methods.
• Layer in instrumentation in the development process so that data pipelines can be monitored.
• Build processes and diagnostic tools to troubleshoot, maintain, and optimize engineering environments and respond to production issues.
• Provide subject matter expertise and hands‑on delivery of data capture, curation, and consumption pipelines for AWS.
• Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform.
• Develop documentation, such as data dictionaries, guides, or data flow diagrams that assist staff in identifying, locating, and using the organizations data.

Incumbent Must Possess:

• Minimum of 3 years of SQL programming experience and associated SQL tools (SSIS, SSMS, SSRS, etc.).
• Experience with Visual Studio is preferred.
• At least 3 years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions.
• Minimum of 3 years of RDBMS experience.
• Extensive hands‑on experience implementing data migration and data processing using Amazon Web Services. Includes knowledge of Amazon Connect and Amazon Lambda.
• Knowledge of medical terminology, especially ICD‑10 codes, CPT codes, DRG codes, and an understanding of adjudicated claims data.
• Excellent verbal and written communication skills.

Minimum Qualifications:

• Education: Masters degree with 10 years experience preferred; Bachelors degree with 13 years of equivalent experience will be considered in place of masters degree requirement.
• Experience: Requires a minimum of 10 years experience with at least five (5) years working in data management, data engineering, or data architecture. Enterprise Data Warehouse development preferred; Requires at least five (5) years working with healthcare data; more is preferred. SQL proficiency is required.
• License(s): None
• Certification(s): Certification work related to Epic or Amazon Cloud may be required within 1 year of starting employment.
• Computer / Typing: Must be proficient with Microsoft Office Suite, including Outlook, PowerPoint, Excel, and Word and can use the computer to complete online learning requirements for job‑specific competencies, access online forms and policies, complete online benefits enrollment, etc.

This role offers a unique opportunity to work on cutting‑edge data engineering projects in the healthcare industry. If you meet the qualifications and are excited about the potential of this role, we encourage you to apply.