Consultant - Data Engineering
Job in
Atlanta, Fulton County, Georgia, 30301, USA
Listed on 2026-06-12
Listing for:
MAU Workforce Solutions
Full Time
position Listed on 2026-06-12
Job specializations:
-
IT/Tech
Data Engineering, Data Science Manager, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
3
Ci, 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, 3
Ci'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 work streams 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, Big Query, 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 (Git Hub 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 3
Ci'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 work streams 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, Big Query, 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 Snow Pro Core Certification
* AWS Certified Data Analytics - Specialty (or Cloud Practitioner minimum)
* Git Hub Copilot certification or equivalent AI development productivity credential
WHY 3CI
At 3
Ci, data engineering isn't a support function - it's the engine of our clients' AI and analytics programs. You'll work…
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