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Assistant Data Streaming Jobs (NOW HIRING)

Prepare, cleanse, validated datasets for data science purpose. * Assist data troubleshooting, data ... Spark API, Spark SQL, PySpark, Scala, Python, and data Streaming. - Applicants must have ...

... learning • Assist in breaking down complex business problems, developing solutions, and ... data-streams in distributed computing environments. • Implement batch and real-time model scoring ...

Streaming Fraud Data Research & Analyst

New York, NY · On-site +1

$61.91K - $118.25K/yr

Monitor and analyze large-scale streaming and social data to identify patterns of suspicious or ... monetization. * Assist in defining and improving internal processes, dashboards, and alerting ...

Streaming Fraud Data Research & Analyst

Nashville, TN · On-site +1

$61.91K - $118.25K/yr

Monitor and analyze large-scale streaming and social data to identify patterns of suspicious or ... monetization. * Assist in defining and improving internal processes, dashboards, and alerting ...

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How much do assistant data streaming jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for assistant data streaming in the United States is $17.49, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.
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Sr. Data Engineer

Asahi Kasei

Charlotte, NC • Hybrid

Other

Posted 24 days ago


Job description

The Asahi Kasei Group operates with a commitment of creating for tomorrow. Our business sectors, Material, Homes, and Health Care, contribute to the development of society by anticipating the changing needs of those around the world. We look for candidates that offer a fresh perspective and a variety of skills to help us achieve our commitment.
We are currently seeking applications to fill the following job opening:
Company:
Asahi Kasei America, Inc.
Job Description:
Position Type: Full time / HYBRID - (Office - 1-2 times a week)
Location: 3540 Toringdon Way, Suite 200, Charlotte, NC 28277
Description:
  • Evaluate and improve T-SQL, MDX, DAX, HiveQL programming concepts such as queries, stored procedures, functions, temporary tables, parameterization, complex joins and groupings.
  • Develop and optimize ETL/ELT pipelines, to load data from on premise and online systems.
  • Ensure data solutions stability and performance optimization.
  • Conduct data warehouse model design, development and support.
  • Prepare, cleanse, validated datasets for data science purpose.
  • Assist data troubleshooting, data featuring and data discovery.
  • Develop tools to automate development and monitoring process.
  • Develop python algorithms for data processing.
  • Support Data science environment, assists data science projects.
  • Manage time effectively to ensure that projects delivered on schedule.
  • Provide on-going maintenance and support of existing and new data solutions.
  • Support solution automation and CI/CD.
  • Remote/Hybrid work schedule - Report to Charlotte, NC office (1-2 times per week)
  • Travel - 5% including travel to Europe once per year.
Qualifications:
- Bachelor's Degree in Computer Science / Information technology or related field AND five (5) years as Data Engineer, Big Data Engineer, Data Architect, SQL Developer, Database Developer, or related.
- Applicants must have 5 years' experience with:
  • Developing business intelligence solutions including data integration, data schema development, data pipelines, modeling and reporting/analytics
  • Database design principles, data modeling, partitioning, and data warehouse
  • Python, and Shell scripting
  • SQL writing and query tuning, and query performance optimization
  • data analysis, data modeling, data migration, computer programming, and problem-solving.
- Applicants must have 4 years' experience with:
  • Data validation, cleansing, featuring: Pandas, Spark dataframes, and DQ solutions.
- Applicants must have 3 years' experience with:
  • CI/CD.
  • CDC.
- Applicants must have 2 years' experience with:
  • big data pipeline development, monitoring and support: ETL, SSIS, Hadoop, HDFS, Spark, Hive, RDD, and UDF.
  • cloud data ecosystem: Spark API, Spark SQL, PySpark, Scala, Python, and data Streaming.
- Applicants must have demonstrative experience with:
  • data science tools: Python ML, Scala, and Databricks.

As an equal opportunity employer, Asahi Kasei believes a diverse workforce will provide us with the ability to continuously support the changes in the economy, society, and environment.