Data Engineer

Job Title: Data Engineer

Job Location: McLean VA (100% Onsite)

Job Type: Contract

Responsibilities:

• Collaborate with solution & Enterprise architects and other cross-functional teams to understand business requirements.
• Work on small to mid-sized and cross-functional IT solutions.
• Contribute to workstream planning process including inception, requirements gathering, technical design, development, testing, and delivery of ETL solutions.
• Experience using ETL tools for plug-and-play implementation, ETL automation, monitoring, and alerts.
• Collaborate with Analytics & Reporting, Data Science, Machine Learning, Analytics Engineering, IT Infrastructure, and other Technology teams in solution design, development, and deployment.
• Implement and adhere to security guidelines to safeguard Protected Health Information (PHI) and establish secure communication channels for data transfer.
• Exercise Agile methodologies throughout the development process, using tools such as JIRA, Confluence, and video communication to enhance collaboration, documentation, and transparency.
• Follow DevOps/DataOps best practices throughout the Software Development Life Cycle (SDLC).

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or equivalent.
• 3+ years of professional experience in Data Engineering (or similar role).
• Experience in designing and implementing data applications and data architectures.
• Experience with open-source data frameworks like Spark and/or cloud data platforms is preferred.
  Healthcare experience in a Payer or Provider/Hospital organization is preferred.
• Experience in Azure data technologies is a bonus (Azure Data Factory, Synapse, Cosmos DB, Azure SQL).
• Experience with DevOps/DataOps practices is a bonus.
• Experience or familiar with Agile or a similar process.

Required Skills:

• 2+ years of experience with at least one database/data warehouse solution (e.g., MySQL, MSSQL, Synapse, Snowflake, Redshift).
• 2+ years of experience in at least one programming language (preferably Python).
• Experience using industry-standard Python libraries for data exploration, analysis, and transformation (e.g., Pandas, Numpy, etc.)
• Expertise in .NET Core/ASP.NET MVC, C#, and Entity Framework.
• Experience with cloud platforms such as Azure or AWS is an advantage.
• Experience using REST APIs.
• Proficient in writing SQL code for queries, views, stored procedures, etc.
• Experience working with data housed in file formats including TXT, CSV, JSON, YAML, Parquet, XLSX.
• Problem-solving aptitude and critical thinking skills.
• Excellent communication and interpersonal skills.