Overview:

We are seeking a skilled Senior Data Engineer to support our data platform initiatives

The ideal candidate will have strong experience with Snowflake and in cloud-based data engineering (AWS), hands-on SQL and Python development

Key Responsibilities:

Design, develop and maintain scalable data pipelines and ETL processes in the cloud

Work with stakeholders to understand data requirements and deliver solutions

Develop & optimize SQL queries for data extraction, transformation, and reporting

Build and maintain scripts and automation using Python

Integrate with and perform basic operations within Snowflake data warehouse

Ensure data quality, performance, and reliability of systems

Collaborate with functional teams including Data Scientists, Analysts & DevOps

Design and implement scalable database structures and ensure data integrity across systems

Analyze large and complex datasets, troubleshoot issues and support data-driven decision-making

Participate in data architecture discussions and contribute to best practices in database design and data governance

Monitor and optimize data pipeline performance, troubleshoot bottlenecks, and recommend tuning improvements

Participate in structured peer code reviews and deployment processes to ensure production readiness and reduce risk

Take part in initiatives to continuously improve version control practices and deployment workflows

Participate in root cause analysis sessions to identify the impact of data issues and improve long-term system stability

Required Skills & Experience:

Strong SQL development skills and solid understanding of database design principles, indexing strategies, and normalization

Expert-land optimizeciency in SQL (eg T-SQL, PL/SQL) and query optimization techniques

Strong experience with AWS cloud services (eg S3, Lambda, Glue, Redshift)

Proficiency in Python for data engineering and automation tasks

Experience with Snowflake or similar modern cloud-based data platforms

Familiarity with modern data architecture patterns and ETL best practices

Experience with Git and CI/CD tools for version control and deployment automation

Experience with orchestration tools such as Kubernetes and Airflow

5+ years of hands-on experience as a Data Engineer or in a similar data-focused role

Experience with large, complex datasets and enterprise-scale data environments

Experience participating in or managing data deployment processes, with understanding of production release and risk mitigation practices

Detail-oriented mindset with a focus on quality, performance, and stability

Ability to understand the broader system and business impact of technical solutions

Strong analytical, problem-solving, and communication skills

Nice to Have:

Knowledge of the US healthcare system, including claims data or HIPAA compliance

Experience with other cloud-based databases (eg AWS RDS, Azure SQL, Google Cloud SQL)

Familiarity with scripting languages (eg Bash) for automation

Experience in Agile environments and cross-functional, remote collaboration

Familiarity with documentation and collaboration tools (eg Confluence, Jira)

Senior Data Engineer

Job Description

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