Artech L.L.C.

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Rutherford, NJ, with a contract length of "unknown" and a pay rate of "unknown." Key skills include SQL, Python, and ETL technologies. Retail and Wealth domain experience is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
May 29, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Rutherford, NJ
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🧠 - Skills detailed
#Agile #Snowflake #Scala #Programming #AWS (Amazon Web Services) #Deployment #Compliance #Data Pipeline #Database Management #Big Data #Data Modeling #DevOps #SQL (Structured Query Language) #Cloud #Unix #MongoDB #Debugging #Automation #Spark (Apache Spark) #Datasets #Python #Quality Assurance #Databases #Shell Scripting #Linux #GCP (Google Cloud Platform) #Kafka (Apache Kafka) #Data Governance #NoSQL #Data Processing #Data Science #Data Engineering #AI (Artificial Intelligence) #Java #"ETL (Extract #Transform #Load)" #Scripting #PySpark #Databricks #Hadoop #DynamoDB
Role description
🚀 Hiring: Data Engineer / Senior Analyst – Rutherford, NJ About the Role We are seeking an experienced Data Engineer / Senior Analyst (C12) to join our Data Science & Technology team in Rutherford, NJ. The ideal candidate will have strong expertise in SQL, data engineering, QE fundamentals, scripting, and big data technologies, with exposure to Retail & Wealth domains preferred. This role involves building scalable data solutions, supporting analytics and regulatory reporting, and collaborating across Agile technology teams. Key Responsibilities • Build and maintain scalable data pipelines and ETL workflows • Develop high-quality data solutions for analytics and regulatory reporting • Work with large datasets using SQL, Spark, Hadoop, Hive, and related technologies • Perform data transformation, validation, optimization, and quality assurance • Support automation, deployment, and scripting activities • Collaborate with business and technology teams in Agile environments • Ensure compliance with data governance and quality standards Required Skills • Strong SQL and database management expertise • QE fundamentals including testing, validation, debugging, and quality checks • Unix/Linux shell scripting • Programming experience in Python, Java, or Scala • Hands-on experience with ETL and Big Data technologies such as Spark, Hadoop, Hive, and Snowflake • Strong understanding of Data Warehousing and Data Modeling concepts • CI/CD and DevOps exposure Preferred Skills • PySpark • Kafka / Real-time data processing • Cloud platforms such as AWS, Databricks, Snowflake, or GCP • NoSQL databases including MongoDB and DynamoDB • Scheduling tools such as Autosys or Cron Preferred Domain Experience • Retail Banking • Wealth Management • AI/Data Engineering initiatives Location Rutherford, NJ