Senior Data Engineer

Akkodis is seeking a – “Data Engineer 3” for a Contract position with a client located in Remote. Pay Range: $65-$75/hr. (The rate/salary may be negotiable based on experience, education, geographic location, and other factors.). Job Description: We are building next-generation foundation models for machine-generated data - including time series, logs, and large-scale event streams. We’re looking for a strong data engineer to design and scale the data pipelines that power model training and production systems. This role sits at the intersection of distributed systems, data infrastructure, and machine learning. What You’ll Do • Build and scale distributed data pipelines for large-scale time series and log data • Design reliable, high-performance Spark/Python workflows for model training datasets • Analyze and resolve performance bottlenecks (latency, memory, skew, throughput) • Improve data quality, validation, and reproducibility for ML workloads • Partner with ML engineers and researchers to accelerate foundation model development • Measure and optimize application and transaction performance in production systems Minimum Requirements • 5+ years of software engineering experience • Strong proficiency in • • Python • • • Hands-on experience with • • Apache Spark • • (PySpark or Scala) • Experience building large-scale data pipelines in distributed environment • Experience working with time series, logs, or high-volume event data • Strong debugging and performance optimization skills Nice to Have • Experience supporting ML or large model training workflows • Familiarity with sequence modeling or time series data systems • Experience with streaming systems (Kafka, Spark Streaming) • Experience with cloud-native or Kubernetes-based platforms 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