Consultant - Data Engineering & Analytics

ABOUT 3CI

3Ci, an MAU company, is an IT professional services and technology consulting firm specializing in full-stack software development, data engineering, process intelligence, and digital transformation. We partner with leading enterprises to accelerate transformation and deliver measurable business outcomes.
As enterprise AI programs accelerate across every industry, 3Ci's Data Engineering practice has become one of our most strategically critical capabilities — building the modern data platforms, analytics infrastructure, and AI-ready data architecture that power clients' most important technology investments. Every LLM, ML model, and analytics program runs on data — and our team builds the foundation that makes those programs possible.

THE OPPORTUNITY

As a Consultant – Data Engineering, you will independently manage data engineering and analytics workstreams within client engagements — owning pipeline development, data model design, and analytics delivery with moderate oversight. This role bridges foundational data development and senior technical advisory, combining hands-on engineering capability with growing client relationship skills.
At this level, you'll be expected to independently configure and develop data platform components, design data models, and advise working-level client stakeholders on data quality and architecture decisions. AI-augmented development is a core part of how we work — you'll use AI coding tools as a standard productivity multiplier and begin introducing AI-assisted data workflows to clients.

WHAT YOU'LL DO

Data Pipeline Engineering

• Design, develop, test, and deploy data pipelines across batch and streaming architectures
• Build and maintain ELT/ETL workflows using modern data stack tools: dbt, Airflow, Azure Data Factory, Fivetran, or equivalent
• Develop data ingestion connectors, transformation logic, and orchestration workflows for cloud data platforms (Snowflake, Databricks, BigQuery, Azure Synapse)
• Implement pipeline monitoring, alerting, and lineage tracking
• Own pipeline performance optimization: query tuning, partitioning strategies, and incremental load patterns

Data Modeling & Architecture

• Design dimensional and relational data models: star schemas, OBT patterns, and Data Vault 2.0 concepts
• Build and maintain dbt projects: models, tests, documentation, and semantic layer definitions
• Advise on data warehouse and lakehouse architectural patterns appropriate to client platform and use case
• Document data lineage, business glossary entries, and data dictionary content

Analytics & BI Enablement

• Develop analytics-ready datasets and semantic models for BI tool consumption (Power BI, Tableau, Looker)
• Partner with analytics and data science teams to ensure platform outputs meet downstream requirements
• Build and validate data quality frameworks: expectation suites, reconciliation logic, and anomaly detection

Client Engagement & Advisory

• Serve as day-to-day data engineering point of contact for client data engineers, analysts, and working-level data managers
• Present pipeline designs, data model decisions, and data quality findings to client technical stakeholders
• Facilitate data requirements sessions, source system workshops, and data model reviews

AI-Augmented Development

• Apply AI coding assistants (GitHub Copilot, Cursor, Claude) as a standard productivity accelerator across all pipeline and transformation development
• Use AI to generate dbt model scaffolding, SQL optimization suggestions, and documentation drafts — all reviewed and validated before deployment
• Introduce AI-assisted data workflow tools to client data engineering teams on applicable engagements
• Contribute documented AI use cases to 3Ci's Data AI Playbook

WHAT WE'RE LOOKING FOR

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field
• 2–5 years of data engineering or analytics engineering experience
• Demonstrated ownership of data pipeline workstreams from design through production deployment
• Proficiency in SQL (advanced) and Python for data engineering tasks
• Hands-on experience with modern data stack tools: dbt, Airflow or equivalent orchestrator, and at least one cloud data platform (Snowflake, Databricks, BigQuery, or Azure Synapse)
• Working knowledge of data modeling patterns: dimensional modeling, Data Vault, or lakehouse medallion architecture
• Professional AI coding tool usage in a data engineering workflow

Preferred Certifications & Credentials

• dbt Certified Analytics Engineer
• Databricks Certified Associate Developer for Apache Spark or Data Engineer Associate
• Microsoft Certified: Azure Data Engineer Associate (DP-203)
• Snowflake SnowPro Core Certification
• AWS Certified Data Analytics – Specialty (or Cloud Practitioner minimum)
• GitHub Copilot certification or equivalent AI development productivity credential

WHY 3CI

At 3Ci, data engineering isn't a support function — it's the engine of our clients' AI and analytics programs. You'll work on meaningful, technically complex problems alongside a team that takes craft seriously. We invest in certifications, encourage AI fluency, and create clear paths for growth whether you want to deepen your technical expertise or move into leadership.
3Ci is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.