Consultant, Data Engineering

Role Description

As a Consultant in our Professional Services team, you will act as a trusted technical advisor to our clients, helping them unlock the value of their data. You will bridge the gap between business requirements and technical execution, designing and building robust data pipelines, analytics frameworks, and AI/ML-driven solutions. This role is ideal for a high-performing Data Engineer or Analytics Consultant who thrives in a client-facing environment, loves solving complex data puzzles, and wants to deliver cutting-edge data and AI solutions.

Key Responsibilities

• Delivery & Implementation: Partner with clients to implement scalable data engineering pipelines, data models, data warehouses, and analytics platforms from inception to deployment.
• Data Infrastructure & Platform Management: Set up and configure the underlying platforms — storage, compute clusters, data warehouses. Identify and implement performance tuning as required.
• Analytics & Insights: Develop advanced analytics models, dashboards, and reporting frameworks that provide actionable business intelligence to client stakeholders.
• AI/ML Integration: Assist clients in integrating AI/ML capabilities, LLMs, and predictive analytics into their existing data ecosystems and business workflows.
• Best Practices: Ensure high data quality, governance, security, and performance optimization across all client deliverables.

Qualifications

• 2–5 years of experience in Data Engineering, Data Analytics, or a data-focused technical consulting role.
• Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and core modern data stack tools (e.g., Snowflake, Databricks, BigQuery, dbt).
• Strong proficiency in Python or Scala, and advanced SQL. Experience building batch and real-time data pipelines.
• Experience working with data science libraries (e.g., Pandas, NumPy, Scikit-Learn, pytorch) and a solid understanding of deploying AI/ML models or integrating AI APIs.
• Solid understanding of data warehousing concepts, data modeling (Star/Snowflake schema), and data architecture principles.
• Excellent client-facing communication skills, with the ability to manage stakeholder expectations, write clear documentation, and present complex technical concepts simply.

Preferred Qualifications

• Higher education degree in Engineering, Computer Science, IT/Data science, or equivalent field experience.
• Experience with BI and data visualization tools (e.g., Tableau, PowerBI, Looker).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines for data (MLOps/DataOps).
• Prior experience working in a Professional Services, Professional Consulting, or IT Advisory capacity.
• Familiarity with RAG.
• English speaking required, Spanish speaking is a plus.

Benefits

• Access to CuraLinc to aid employees in health and wellness tips and practices.
• Wellness Fridays extending to December 2026!

Company Description

EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability.