Senior Hadoop Developer

A-Line Staffing Solutions

Jacksonville (FL)

On-site

USD 82,656 - 89,544

Part time

14 days+

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Job summary

A leading staffing agency is seeking a Senior Hadoop Developer in Jacksonville, FL. You will design and implement data ingestion solutions, ensuring scalability using Spark. Candidates should have over 5 years of experience in the Hadoop ecosystem and solid knowledge of Java or Scala. This contract role offers competitive pay ranging from $60 to $65 per hour.

Qualifications

  • 5+ years experience within the Hadoop ecosystem including HDFS, Spark, and Hive.
  • Hands-on experience with Spark (Scala/Java).
  • Familiarity with Change Data Capture (CDC) tools.

Responsibilities

  • Design and implement ingestion patterns using Spark.
  • Build and maintain JARs for file parsing and writing to Iceberg.
  • Collaborate to align ingestion solutions with architecture.

Skills

Hadoop ecosystem experience
Spark proficiency
Java and/or Scala knowledge
Data warehousing concepts
Analytical and problem-solving skills
Communication skills

Education

Bachelor’s degree in Computer Science or related

Tools

Spark
Git
MS Office Suite

Job description

A-Line Staffing Solutions provided pay range

This range is provided by A-Line Staffing Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$60.00/yr - $65.00/yr

Direct message the job poster from A-Line Staffing Solutions

Information Technology Recruiter at A-Line Staffing Solutions

Job Title: Senior Hadoop Developer

Rate: $60–$65/hr on W-2 (No C2C)

Position Overview:

We are seeking a Senior Hadoop Developer to design, build, and support scalable big data solutions, focusing on ingestion pattern development and Spark-based orchestration. You’ll play a critical role in managing large-scale data workflows, collaborating across teams to ensure efficient data ingestion, processing, and validation.

Key Responsibilities:

  • Design and implement modern ingestion patterns using Spark, ensuring scalability and performance
  • Build and maintain JARs for file parsing (CSV, JSON, Avro, Parquet) and writing to Iceberg
  • Integrate ingestion frameworks with Recon and CDC tools for seamless data validation and real-time processing
  • Collaborate with engineers, data scientists, and business teams to align ingestion solutions with broader architecture
  • Perform code reviews, maintain quality standards, and lead troubleshooting and optimization efforts
  • Participate in unit testing, documentation, deployment, and lifecycle management

Must-Have Skills & Experience:

  • 5+ years working within the Hadoop ecosystem (HDFS, Spark, Hive)
  • Strong hands-on experience with Spark (Scala/Java)
  • Proficiency in Java and/or Scala
  • Experience with Apache Iceberg and data warehousing concepts
  • Familiarity with Change Data Capture (CDC) tools and Recon frameworks
  • Experience building and deploying JARs
  • Strong understanding of ingestion patterns, data validation, and quality processes

Additional Requirements:

  • Strong analytical, problem-solving, and debugging skills
  • Familiarity with SDLC and Agile environments
  • Excellent verbal and written communication
  • Ability to work independently and within a cross-functional team
  • Proficiency with tools like Git, Visio, and MS Office Suite

Preferred Technical Stack:

  • Languages/Tools: Spark, Scala, Python, Java
  • Platforms: Hadoop (HDFS), Hive

Education:

  • Bachelor’s degree in Computer Science, Information Systems, or related field — or equivalent work experience
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Information Technology
  • Industries
    Hospitals and Health Care

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