Technical Lead / Data Engineer

Akkodis group
Irving, TX, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$101,920 - $108,160
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Airflow Business Analytics Applications Data Analysis Big Data Information Engineering Extract Transform Load (ETL) Python (Programming Language) MongoDB NoSQL
+17 more
Systems Development Life Cycle Software Engineering Subversion Enterprise Data Management Data Processing Apache Spark Spring-boot Git Pyspark Integration Tests Information Technology Apache Flink Cassandra Apache Kafka Data Management Data Pipelines Microservices

Job description

Modis is seeking a Technical Lead / Data Engineer for a Contract with a client in Irving, TX/ Temple terrace, FL (Hybrid). The ideal candidate will design and build scalable real-time data pipelines using Apache Spark, PySpark, Flink, and Kafka to power high-volume data processing and analytics solutions., * Design, develop, and maintain scalable real-time and near real-time data pipelines using Apache Spark, PySpark, Flink, Kafka, and Airflow.

  • Extract, transform, and load data from relational and NoSQL databases, including MongoDB, into enterprise data platforms.
  • Build and enhance microservices and APIs using Java, Spring Boot, and Python to support data-driven applications.
  • Monitor, troubleshoot, and optimize data workflows to ensure high performance, reliability, and data quality.
  • Collaborate with cross-functional Agile teams to deliver innovative data engineering solutions and meet business requirements.
  • Develop unit and integration tests, maintain code quality standards, and manage source code using Git/SVN version control tools.

Requirements

Technical Leadership, Technical Leadership, Scalable System Development, Data Processing, Data Management, Apache Kafka, Apache Spark, Data Analysis, Performance Management, Identify Issues, * Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.

  • 5-10 years of experience in Data Engineering, Software Development, or Big Data technologies.
  • Hands-on expertise in Python, Java, Apache Spark, PySpark, Apache Flink, Kafka, and Airflow for building scalable data pipelines.
  • Strong experience working with MongoDB, Cassandra, and other relational/NoSQL databases in enterprise environments.

Benefits & conditions

Rate Range: $49/hour to $52/hour; The rate may be negotiable based on experience, education, geographic location, and other factors., Pay Details: $49.00 to $52.00 per hour

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.

Equal Opportunity Employer/Veterans/Disabled

Military connected talent encouraged to apply

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-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

Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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