Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Serve as a reliable data and AI consultant for clients, converting business inquiries into AI-ready data infrastructures.

• Operate autonomously within a small team to tackle intricate data engineering challenges across various sectors.

• Design and implement data platforms optimized for AI, including cloud data warehouses, lakehouses, ETL/ELT pipelines, orchestration jobs, and analytical layers.

• Create and enhance semantic and analytical layers that support Snowflake Cortex, Databricks Genie, BI platforms, and AI copilots.

• Provide scalable solutions utilizing Snowflake, Databricks, dbt, Fivetran, and cloud-native orchestration frameworks.

• Develop ELT/ETL pipelines for structured, semi-structured, and unstructured data.

• Design contemporary data models that focus on metrics layers, knowledge graphs, and semantic consistency.

• Write production-ready SQL, Python, and Spark code while adhering to Git and CI/CD best practices.

• Implement AI-assisted methodologies for data exploration, quality assurance, schema generation, documentation, lineage, and transformation acceleration.

• Contribute to internal accelerators, engineering patterns, and client-ready architectures.

• Collaborate with analytics, data science, and ML teams to operationalize AI-enabled analytics, features, and inference pipelines.

• Engage independently in client projects, contribute to practice and business development, and propose innovative initiatives.

⛳️ Requirements

• A degree in Computer Science, Engineering, Mathematics, or equivalent experience.

• Proven experience in collaborating with business stakeholders and articulating technical concepts clearly.

• Familiarity with contemporary data engineering and AI trends, including LLM-powered analytics, semantic layers, vectorized data access, and metadata-driven architectures.

• Excellent written and verbal communication skills.

• Over 3 years of experience working with relational databases and query languages.

• More than 3 years of experience in building production data pipelines across structured, semi-structured, and unstructured data.

• At least 3 years of experience in data modeling, including star schema and entity-relationship modeling.

• A minimum of 3 years writing clean, maintainable, and robust code in Python, Scala, Java, or similar languages.

• Preferred experience of 2+ years with dbt Core and/or dbt Cloud.

• Familiarity with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code is preferred.

• Ability to work independently and manage end-to-end delivery from design to production.

• Strong understanding of software engineering principles and best practices.

• Preferred experience in DevOps.

• Experience with cloud data warehouses like Databricks, Snowflake, Google BigQuery, AWS Redshift, or Microsoft Synapse is preferred.

• Familiarity with cloud ETL/ELT tools such as Fivetran, dbt, Matillion, Informatica, or Talend is preferred.

• Experience with AWS, Azure, or GCP and container technologies like Docker and Kubernetes is preferred.

• Preferred experience with Apache Spark.

• Experience in preparing data for analytics and following a data science workflow is preferred.

• Consulting experience is strongly preferred.

• Willingness to travel.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Opportunities for professional development and continuous learning.

• A collaborative and inclusive work environment.