Remote Senior Data Engineer Job:

Remote Senior Data Engineer Job:

Please no 3rd party or c2c candidates

Direct Hire Salary Range: $130-230,000 based on experience



The Sr. Data Engineer will ensure data systems work together across our hybrid environments with a focus on scale and performance. You will lead technical and architectural decisions in collaboration with the data engineering teams, ensuring compliance with industry-leading data privacy standards.

Responsibilities of the Remote Senior Data Engineer Job:

• Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data
• Leads projects by managing timelines, coordinating teams, and communicating project statuses. Influences organizational direction through effective leadership and strategic collaboration.
• Serves as a subject matter expert on governance standards, continuously aligning data practices with evolving industry best practices and requirements.
• Contributes to defining the overall vision and strategy for data engineering within the organization, ensuring alignment with organizational goals and long-term objectives.
• Establishes visionary goals, advises on strategic plans, employs advanced monitoring, influences high-level stakeholders, and delivers transformative results.
• Contribute to the expansion of our Data Warehouse(s) and Lake solutions while contributing to the following:
  • Data Governance
  • Data Security
  • Access Management
  • External Data Products
  • ETL

• 10+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products.
• Expert-level experience working in Databricks and AWS.
• Expert-level experience working in both relational and non-relational databases, such as SQL Server, PostgreSQL, DynamoDB, and DocumentDB.
• Expert in building out data models, data warehouses, and designing data lakes for enterprise and product use cases.
• Familiarity with designing and building APIs, ETL, and data ingestion processes, and utilization of tools to support enterprise solutions.
• Experience in performance tuning, query optimization, security, monitoring, and release management
• Experience working with and managing large, disparate, identified, and de-identified data sets from multiple data sources
• Experience with building and deploying IAC using Terraform, asset bundles, and GitHub
• Experience collaborating with Data Science teams and building AI-based solutions to drive efficiencies and business value

 
Benefit Offerings:
Our client’s goal is to provide a benefits package that gives you peace of mind, helps you stay healthy, and supports you at every stage of your career. Their offerings include medical, vision, dental, 401K with match, and a competitive paid time off schedule.

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