Senior Data Engineer

Akkodis is seeking a Senior Data Engineer for a 04 months contract role with a client in Normal, IL 61761, On-site.

• Title: Senior Data Engineer
• Location: Normal, IL 61761-Onsite.
• Contract: 04 months
• Pay Range: $60/hr - $65/hr (The rate may be negotiable based on experience, education, geographic location, and other factors)

• Job Description
• As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics across programs and sites. You will design and maintain scalable ingestion pipelines, develop well-modeled datasets, and ensure data quality and reliability across critical systems.
• This role sits at the intersection of operational systems, modern data platform engineering, and analytics enablement, helping convert raw operational signals into governed, high-value datasets that power analytics applications, core metrics, and future AI-driven insights.

• Roles and Responsibilities
• Design, build, and operate data ingestion pipelines from operational, quality, test, and service systems into Databricks using Fivetran/AWS/Databricks and standardized ELT patterns.
• Develop and maintain dbt models for operational, quality, and ramp metrics, following our standard patterns for analytics.
• Set up and maintain data quality checks, audits, and monitoring for freshness, completeness, and contract compliance across key pipelines.
• Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance, cost, and reliability, including orchestration, alerting, and runbooks.
• Collaborate with analytics engineers and product teams to turn models into highvalue data products powering analytics applications.
• Contribute to the semantic layer and catalog so GenAI agents and self-service tools can reliably discover and query operational data.
• Drive improvements in upstream systems and schemas to reduce data issues at the source.

• Required Qualifications
• 5+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering working with production data systems.
• Strong expertise in SQL and Python for building scalable data pipelines and transformations.
• Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks strongly preferred).
• Deep experience with dbt, including model development, testing, documentation, and CI/CD integration.
• Experience with managed ingestion tools such as Fivetran, Airbyte, or similar.
• Experience designing and operating production-grade data pipelines with monitoring and observability.
• Strong collaboration skills and ability to partner with engineering teams, analysts, and operational stakeholders.
• Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.

• Preferred Qualifications
• Experience working with manufacturing, MES, quality, or operational data.
• Familiarity with Fivetran connector management and ingestion architecture.
• Experience with data contracts and schema governance.
• Experience building semantic layers or governed analytical datasets.
• Exposure to modern analytics tools (Hex, Tableau, Power BI, or similar).
• Experience enabling AI or advanced analytics use cases on top of operational data.
• •Knowledge of streaming or near-real-time data pipelines.

• Equal Opportunity Employer/Veterans/Disabled
• Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an 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. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

• To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
• 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
• · San Francisco Fair Chance Ordinance