Senior Software Engineer - Data Engineering

Akkodis, Inc.
San Francisco, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 187K

Job location

San Francisco, United States of America

Tech stack

Java
Airflow
Amazon Web Services (AWS)
Big Data
Cloud Computing
Computer Programming
Information Engineering
Data Governance
Data Systems
Distributed Computing Environment
Distributed Data Store
Distributed Systems
Python
Scala
Software Engineering
Data Streaming
Snowflake
Spark
Spring-boot
FastAPI
Kubernetes
Information Technology
Apache Flink
Kafka
Spark Streaming
Data Management
NestJS
Terraform
Data Pipelines
Databricks
Microservices

Job description

Akkodis is seeking a Sr. Software Engineer for a Contract position with a client located in Glendale, CA/ San Francisco, CA/ Seattle, WA/ Santa Monica, CA., We are looking for a Senior Software Engineer with a strong background in Data Engineering and large-scale distributed systems to join a high-impact engineering organization building modern data platforms and real-time processing solutions.

This role will focus on developing scalable batch and streaming data pipelines, driving architecture decisions, and building production-grade data systems.

What You'll Do:

? Design, develop, and maintain scalable data pipelines for batch and real-time processing

? Build and optimize distributed data systems handling large-scale datasets

? Participate in system design and architecture discussions

? Own the software development lifecycle from design through deployment

? Improve performance, reliability, testing, and scalability of data platforms

? Collaborate with engineering, product, and cross-functional teams

? Troubleshoot production issues and contribute to engineering best practices

Requirements

? 5+ years of software engineering experience

? Strong hands-on experience with Apache Spark and distributed data processing

? Experience building both batch and streaming pipelines

? Experience with Spark Streaming, Kafka, Flink, Kinesis, or similar technologies

? Programming experience with Scala, Python, Java, or similar languages

? Experience with AWS and modern data engineering ecosystems

? Strong understanding of distributed systems, data modeling, and scalable architecture

? Experience participating in technical design and architecture discussions

Preferred Experience:

? Databricks

? Airflow

? Snowflake

? Kubernetes / Terraform / Cloud Infrastructure

? Microservices (Spring Boot, FastAPI, NestJS)

? Data governance, observability, or GenAI exposure

Education:

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).

Benefits & conditions

Rate Range: $85-$90/hr on W2. The rate may be negotiable based on experience, education, geographic location, and other factors, 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

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