Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

Senior Data Engineer

Job

Compunnel, Inc.

Bentonville, AR (In Person)

Full-Time

Posted 5 days ago (Updated 2 days ago) • Actively hiring

Expires 7/13/2026

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
82
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

JOB SUMMARY
Seeking a Data Engineer with Spark & Streaming skills to build real-time, scalable data pipelines using tools like Spark, Kafka, and cloud services (GCP) to ingest, transform, and deliver data for analytics and ML. Key Responsibilities
  • Design, develop, and maintain ETL/ELT data pipelines for batch and real-time data ingestion, transformation, and loading using Spark (PySpark/Scala) and streaming technologies (Kafka, Flink).
  • Build and optimize scalable data architectures, including data lakes, data warehouses (BigQuery), and streaming platforms.
  • Optimize Spark jobs, SQL queries, and data processing workflows for speed, efficiency, and cost-effectiveness.
  • Implement data quality checks, monitoring, and alerting systems to ensure data accuracy and consistency. Required Qualifications
Total IT Experience:
Minimum 8 years.
    Scala:
    Minimum 2 years of experience.
      GCP:
      4+ years of recent GCP experience.
        Programming:
        Strong proficiency in Python, SQL.
          Big Data:
          Expertise in Apache Spark (Spark SQL, DataFrames, Streaming).
            Streaming:
            Experience with messaging queues like Apache Kafka, or Pub/Sub.
              Cloud:
              Familiarity with GCP, Azure data services.
                Databases:
                Knowledge of data warehousing (Snowflake, Redshift) and NoSQL databases. Preferred Qualifications
                  Programming:
                  Proficiency in Scala/Java.
                    Tools:
                    Experience with Airflow, Databricks, Docker, Kubernetes. Certifications