Data Engineer

Akkodis; Dearborn (MI); Hybrid; USD 114,000 - 125,000; Full time

Job summary

Akkodis is seeking a seasoned Data Engineer for our client in Dearborn, Michigan. The role focuses on designing, developing, and supporting scalable data solutions for enterprise data collection, integration, transformation, storage, and analytics.

The candidate will build cloud-based data platforms, optimize data workflows, and ensure data quality and performance across the organization. Proven experience with Google Cloud Platform (GCP) and BigQuery is required, along with hands-on use of

Qualifications

• 4+ years of Data Engineering experience.
• Experience with data warehousing, modeling, ETL/ELT, ingestion and transformation.
• Hands-on with GCP, cloud-native development and deployment.

Responsibilities

• Translate data requirements into scalable data solutions.
• Design, develop, and maintain data pipelines for ingestion and transformation.
• Build data platforms including data warehouses and data lakes.
• Develop data models supporting analytics and reporting.
• Ingest and transform diverse data sources, landing into BigQuery.
• Create stored procedures and DB objects for data processing.
• Develop automation tools and scripts to improve workflows.
• Utilize Cloud Functions, Data Fusion, Airflow, and Astronomer to orchestrate workflows.
• Monitor and optimize data infrastructure for reliability and quality.
• Identify opportunities for process improvements across data platforms.

Skills

Data engineering

ETL/ELT

SQL

BigQuery

GCP

Airflow

Data modeling

Automation

AI tools integration

Education

Bachelor's degree (IT/CS/Engineering)

Tools

GCP

BigQuery

Data Fusion

Apache Airflow

Astronomer

Cloud Functions

Vertex AI

Gemini Code Assist

GitHub Copilot

OpenCode

Job description

Akkodis is seeking a Data Engineer for one of our clients in Dearborn, Michigan.

Rate Range: $55.00/hour to $60.00/hour; the rate may be negotiable based on experience, education, geographic location, and other factors.

The Data Engineer is responsible for designing, developing, and supporting scalable data solutions that enable the collection, integration, transformation, storage, and analysis of enterprise data. This role works closely with business and technology stakeholders to deliver reliable data infrastructure, pipelines, and platforms that support reporting, analytics, operational processes, and data-driven decision-making. The ideal candidate will have experience building cloud-based data solutions, optimizing data workflows, and leveraging modern data engineering technologies to ensure data quality, performance, and scalability across the organization.

Experience with Google Cloud Platform (GCP) is a must for this role, and candidates will be expected to demonstrate their knowledge on the interview.

The work arrangement is 4 days a week in office and 1 day work-from-home.

Please note, we cannot work C2C for this opportunity.

Responsibilities

• Collaborate with business and technology stakeholders to gather, analyze, and translate current and future data requirements into scalable solutions.
• Design, develop, and maintain robust data pipelines for data ingestion, transformation, integration, and delivery.
• Build and support enterprise data platforms, including data warehouses, data lakes, and lakehouse architectures.
• Develop and maintain data models that support analytics, reporting, and operational workloads.
• Perform data ingestion, data wrangling, and transformation activities for various data sources, landing data into Google BigQuery.
• Create and optimize stored procedures, triggers, and database objects to support data processing and business requirements.
• Design and develop automation tools, scripts, and programs to streamline data engineering processes and improve operational efficiency.
• Utilize cloud-native services and tools, including Cloud Functions, Data Fusion, Apache Airflow, and Astronomer, to orchestrate and manage data workflows.
• Monitor, troubleshoot, and optimize data infrastructure and pipelines to ensure reliability, performance, scalability, and data quality.
• Identify and implement continuous improvement opportunities across data engineering processes and platforms.

Experience Required

• 4+ years of Data Engineering experience designing, developing, and supporting enterprise data solutions.
• Strong experience in data engineering, including data warehousing, data modeling, ETL/ELT development, data ingestion and transformation, and data pipeline architecture.
• Hands-on experience with Google Cloud Platform (GCP), including cloud-native application development and deployment is a must.
• Experience working with BigQuery and GCP data services for large-scale data processing and analytics.
• Proficiency with data orchestration and integration tools such as Apache Airflow, Astronomer, Data Fusion, and Cloud Functions.
• Experience developing and optimizing stored procedures, triggers, SQL queries, and database performance.
• Familiarity with AI-assisted development tools, including Gemini Code Assist, GitHub Copilot, and OpenCode, to improve software development productivity.
• Understanding of Agentic AI concepts, including autonomous workflows, AI agents, multi-agent systems, and the application of Large Language Models (LLMs) to automate business and development processes.
• Experience integrating AI tools into the software development lifecycle, including code generation, testing, debugging, and documentation.

Education

• Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field.

Preferred Experience

• Experience with Vertex AI, Gemini models, and other GCP AI and machine learning services.
• Experience with QlikView or similar business intelligence and analytics tools.
• Knowledge of modern data lakehouse architectures and enterprise-scale data governance practices.
• Experience leveraging AI-assisted development tools to accelerate engineering delivery and improve code quality.
• Exposure to advanced analytics, machine learning, or AI-driven data solutions.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

• medical
• dental
• vision
• life insurance
• short-term disability
• additional voluntary benefits
• EAP program
• commuter benefits
• a 401K plan
• Paid Sick Leave
• any other paid leave required by Federal, State, or local law
• Holiday pay

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit:

https://www.modis.com/en-us/candidate-privacy/

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

The California Fair Chance Act

Los Angeles City Fair Chance Ordinance

Los Angeles County Fair Chance Ordinance for Employers