Data Engineer

InterWorks•Tulsa, OK

6h•$90,000 - $150,000

About The Position

Are you someone who naturally connects business needs, data, and technology and enjoys guiding others through complex decisions? Do you like partnering with clients, asking the right questions, and designing data solutions that support long-term success rather than one-off wins? InterWorks is seeking a Data Engineering Consultant to work closely with clients as they navigate modern data platform decisions. This role blends hands-on data engineering with consulting, discovery, and client advisory work. You’ll help organizations move from fragmented, messy data environments to scalable, reliable data platforms that enable analytics, AI, and confident decision-making. In this role, you’ll collaborate with internal teams and client stakeholders to design and deliver thoughtful, sustainable solutions. Our Data Engineering Consultants don’t just implement pipelines, they help clients understand tradeoffs, shape technical direction, and build foundations that grow with the business. Location Preferences: We’d love for you to join us from one of our offices in Oklahoma City, Tulsa, or Stillwater, OK. Remote work in the Raleigh–Durham, NC area may be possible depending on the situation. Let’s chat! Salary Range: $90,000–$150,000 depending on experience and qualifications

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

Nice To Haves

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

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