Data Engineer

Akkodis is seeking a Data Engineer who has experience building data products on a cloud analytics platform.

You will work on ingesting, transforming, and analyzing large datasets to support the Enterprise in the Data Factory on Google Cloud Platform (GCP). Experience with large scale solution and operationalization of data lakes, data warehouses, and analytics platforms on Google Cloud Platform or other cloud environments is a must.

This is a hybrid role in Dearborn, Michigan. Benefits are offered, and for those who may require it, full sponsorship.

Pay range: $60.00-$65.00 per hour.

Note that we are not able to work on C2C basis at this time.

You will:

Work in collaborative environment that leverages paired programming.

Work on a small Agile team to deliver curated data products.

Work effectively with fellow data engineers, product owners, data champions and other technical experts.

Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions.

Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles.

Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies.

Skills Required:

Experience in working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.

Implement methods for automation of all parts of the pipeline to minimize labor in development and production.

Experience in analyzing complex data, organizing raw data, and integrating massive datasets from multiple data sources to build analytical domains and reusable data products.

Experience in working with architects to evaluate and productionalize data pipelines for data ingestion, curation, and consumption.

Experience in working with stakeholders to formulate business problems as technical data requirements, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product management.

Experience Required:

5+ years of SQL development experience.

5+ years of analytics/data product development experience required.

3+ years of cloud experience (GCP preferred) with solutions designed and implemented at production scale.

Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage, PubSub, Dataflow, Dataproc, Cloud Build, etc.

Experience working with Airflow for scheduling and orchestration of data pipelines.

Experience working with Terraform to provision Infrastructure as Code - 2 + years professional development experience in Java or Python.

Clear communication skils Thought leadership skills.

Experience Preferred:

In-depth understanding of Google’s product technology (or other cloud platform) and underlying architectures.

Experience in working with DBT/Dataform.

Experience with DataPlex or other data catalogs is preferred.

Experience with development eco-system such as Tekton, Git, Jenkins for CI/CD pipelines.

Exceptional problem solving and communication skills.

Experience in working with Agile and Lean methodologies.

Team player and attention to detail.

Experience with performance tuning SQL queries.

Education Required:

Bachelor’s degree in computer science or related scientific field Experience.

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.

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

The Company will consider qualified applicants with arrest and conviction records.