What are the responsibilities and job description for the Senior Data Engineer position at Cynet Systems?
Job Details
We are looking for Senior Data Engineer for our client in Columbia, MD
Job Title: Senior Data Engineer
Job Type: Contract
Job Description:
Pay Range: $60.13hr - $64.13hr
- The Snowflake Data Engineer will be responsible for designing, developing, and optimizing data pipelines and transformations within the Snowflake Data Cloud.
- The ideal candidate will collaborate with cross-functional teams to build scalable data architectures, ensure data quality and governance, and deliver efficient, reliable, and secure data solutions to support enterprise analytics and operations.
- Design, develop, and optimize data pipelines and transformations within Snowflake using SQL and Snowpark (Python).
- Build and maintain Streams, Tasks, Materialized Views, and Dashboards for real-time and scheduled data operations.
- Develop and automate CI/CD pipelines for Snowflake deployments using Jenkins or similar tools.
- Collaborate with data architects, analysts, and cloud engineers to design scalable and efficient data models.
- Implement data quality, lineage, and governance frameworks aligned with enterprise standards and compliance (HIPAA, PHI/PII).
- Monitor data pipelines for performance, reliability, and cost efficiency, proactively optimizing workloads and resources.
- Integrate Snowflake with dbt and Kafka for end-to-end orchestration and streaming workflows.
- Conduct root cause analysis and troubleshooting for complex data and performance issues in production.
- Translate complex business data requirements into elegant, maintainable, and scalable technical solutions.
- 5 years of experience in data engineering or a related field.
- 3 years of hands-on experience with Snowflake Data Cloud, including Streams, Tasks, Dashboards, and Materialized Views.
- Strong proficiency in SQL for complex queries, stored procedures, and query optimization.
- Proficiency in Python, with practical experience using Snowpark for data transformations.
- Experience building CI/CD pipelines for Snowflake using DevOps tools such as Jenkins.
- Strong understanding of data modeling methodologies (Kimball, Data Vault, or 3NF).
- Experience with data governance, lineage, and metadata tools (Collibra, Alation, or Azure Purview).
- Excellent analytical, troubleshooting, and communication skills.
- Experience with dbt or Kafka for data orchestration and streaming.
- Exposure to data quality frameworks such as Great Expectations or Monte Carlo.
- Understanding of real-time and batch data ingestion architectures.
- Snowflake Certification (SnowPro Core or Advanced).
- Experience in healthcare, insurance, or other regulated data environments.
- Excellent problem-solving and root-cause analysis skills.
- Strong communication and documentation skills for technical and non-technical audiences.
- Ability to work collaboratively in Agile or cross-functional DevOps teams.
- A growth mindset with a commitment to continuous learning and process improvement.
- Ability to thrive in a fast-paced, mission-driven environment supporting critical healthcare data operations.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $60 - $64
