Data Engineer

Seeking a Sr. Staff Data Engineer to design, build, and evolve enterprise-scale data platforms and pipelines that support analytics, reporting, and data-driven decision making. This individual will provide senior-level technical leadership across data ingestion, transformation, storage, and consumption layers while ensuring solutions are scalable, secure, governed, and aligned with enterprise cloud standards.

Day-to-Day Responsibilities:

• Design and develop scalable enterprise data pipelines and data platform solutions
• Build and optimize analytical data models for reporting and business intelligence use cases
• Collaborate with architecture, analytics, governance, and application teams to deliver data solutions
• Implement cloud-native and distributed data processing solutions
• Ensure data quality, reliability, security, and performance optimization across platforms
• Support enterprise data integration initiatives and modernization efforts
• Develop and maintain ETL/ELT workflows and orchestration processes
• Participate in technical architecture discussions and strategic data initiatives
• Mentor engineers and provide technical guidance on best practices and scalable design
• Troubleshoot complex data engineering and platform challenges, Title: Technical Writer / Tech Documentation Specialist Location: Remote (EST required; NYC-based candidates preferred for occasional onsite meetings) Start Date: ASAP Duration: Contract, 4 months (20 hours/week, flexible during core business hours) Co...

• Must-Haves:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
• 10 years of professional experience in data engineering, analytics engineering, or data platform development
• Strong proficiency in SQL and at least one programming language such as Python, Java, or Scala
• Extensive experience designing and building enterprise data pipelines and analytical data models
• Hands-on experience with cloud-based data platforms and distributed data processing
• Strong understanding of data architecture patterns, data integration, and performance optimization
• Experience with AWS serverless technologies including Glue, Lambda, and Step Functions
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Experience with containerization technologies including Docker and Kubernetes
• Strong communication and problem-solving skills with the ability to collaborate across technical and business teams

• Nice-to-Haves:

• Master's degree in a related field
• Experience with Infrastructure as Code tools such as Terraform or CloudFormation
• Experience with CI/CD and deployment automation tools such as Jenkins, GitHub Actions, or Bamboo
• Familiarity with Agile or Scrum development methodologies
• Previous mentoring or technical leadership experience
• Experience supporting enterprise-scale cloud modernization initiatives