Data Engineer

InterWorks is a people-focused tech consultancy that empowers clients with customized, collaborative solutions. They are seeking a Data Engineering Consultant to work closely with clients to navigate modern data platform decisions and design sustainable data solutions.

Responsibilities:

• Lead and participate in discovery conversations to understand client goals, constraints, and current-state data environments
• Guide clients through data platform, architecture, and tooling decisions, clearly explaining options and tradeoffs
• Design and deliver technical roadmaps that support scalable data and analytics platform adoption
• Apply strong data modeling and engineering best practices to support analytics, reporting, AI, and machine learning use cases
• Stay current on modern data engineering trends, cloud platforms, and emerging technologies
• Design and build modern, reliable data pipelines and ETL/ELT frameworks
• Architect cloud-native data infrastructure with a focus on scalability, maintainability, and data quality
• Integrate and unify data from diverse sources including SQL databases, APIs, spreadsheets, and cloud storage
• Own technical direction for client engagements, balancing best practices with real-world constraints
• Collaborate closely with analysts, consultants, and client stakeholders to translate business needs into technical solutions
• Deliver billable consulting services, including hands-on engineering work and client advisory engagements

Requirements:

• 5+ years of professional experience in data engineering, technical consulting, or a related field
• Strong SQL skills and experience working with relational databases and cloud data warehouses
• Hands-on experience with ETL/ELT workflows and data transformation frameworks
• Solid understanding of data modeling best practices and data quality principles
• Experience working in client-facing or consulting-style environments
• Ability to translate complex technical concepts into clear, actionable guidance for non-technical audiences
• Working knowledge of cloud platforms and modern data engineering architectures
• Familiarity with DevOps concepts, CI/CD pipelines, and version control
• Comfort navigating ambiguity and evolving requirements in a consultative environment
• Strong problem-solving skills and a client-centered mindset
• Experience with cloud platforms such as AWS, Azure, or GCP
• Familiarity with tools like Snowflake, Databricks, dbt, Fivetran, Matillion, or similar technologies
• Working knowledge of Python or scripting for automation
• Exposure to analytics, BI, or downstream data consumption use cases
• Interest in AI and emerging technologies shaping the future of data engineering
• Background in software engineering, systems integration, or analytics consulting