Company:
Dice
Location: McLean
Closing Date: 28/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, eSolutionsFirst, LLC, is seeking the following. Apply via Dice today!
Data Engineer @ McLean, VA - Hybrid model
6 Months contract - Contract to Hire
Job Description:
Responsibilities
- Responsible for the development, testing, maintenance, and optimization of cloud-native data and ETL solutions.
- Work on small to mid-sized and cross-functional IT and business intelligence solutions.
- Participate in the workstream planning process including inception, requirements gathering, technical design, development, testing and delivery of ETL solutions.
- Collaborate with Analytics & Reporting, Data Science, Machine Learning, Analytics Engineering, IT Infrastructure, and other Technology teams in solution design, development, and deployment.
- Practice business guidelines to protect PHI and ensure secure communication channels for transfer of such data.
- Exercise best practice Agile communication and documentation through channels like JIRA, Confluence.
- Follow DevOps/Data Ops best practices throughout software development lifecycle (SDLC).
Qualifications
- Bachelor's degree in computer science, Information Technology, Engineering, Mathematics, or equivalent.
- 2-5 years 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 experience with cloud data platforms is preferred.
- Healthcare experience in a Payer or Provider/Hospital Organization preferred.
- Experience in Azure data technologies is a bonus (Azure Data Factory, Synapse, Cosmos DB, Azure SQL).
- Experience with DevOps/Data Ops practices is a bonus.
- Experience or familiarity with Agile or a similar process.
- Experience in implementing ELT and ETL solutions.
Knowledge, Skills, and Abilities:
- Experience with at least one database/data warehouse solution (e.g., MySQL, MSSQL, Synapse, Snowflake, RedShift).
- Strong coding proficiency 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.).
- Experience using REST APIs.
- Proficient in writing SQL Code for SQL 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 presentation skills.
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