New York Technology Partners
Senior Associate Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Associate Data Engineer with a contract length of "unknown" at a pay rate of "unknown." Key skills include Big Data technologies, AWS, data ingestion, and real-time pipelines. Requires 5.5+ years of experience, including 4+ years with Big Data.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 12, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Knoxville, TN
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🧠 - Skills detailed
#Oracle #Databases #PostgreSQL #Python #Data Governance #MongoDB #SQL (Structured Query Language) #Data Processing #NiFi (Apache NiFi) #Airflow #Spark (Apache Spark) #HBase #Data Ingestion #BigQuery #Kafka (Apache Kafka) #Programming #Azure #Cloud #Scala #MySQL #Batch #SQL Server #Data Engineering #Redshift #AWS (Amazon Web Services) #Big Data #Security #Java #Data Pipeline #NoSQL #"ETL (Extract #Transform #Load)" #Azure SQL #Hadoop
Role description
Senior Associate Data Engineer
We are seeking a Senior Associate Data Engineer to design, develop, and optimize scalable data engineering solutions. The ideal candidate will have strong experience with Big Data technologies, data ingestion and transformation, real-time pipelines, cloud platforms, and distributed data processing. This role will work closely with stakeholders to translate business requirements into robust technical solutions.
Responsibilities
• Design and implement scalable data ingestion, integration, and transformation pipelines.
• Build batch and real-time data pipelines using distributed data processing and messaging technologies.
• Develop solutions for data analytics, search, aggregation, and large-scale data processing.
• Work with cloud-based data platforms and services, primarily AWS.
• Optimize data pipelines and applications for performance, reliability, and scalability.
• Work with NoSQL, MPP, and relational database technologies.
• Participate in technical design discussions and independently drive data engineering solutions.
• Apply data governance, security, lineage, and cataloging best practices where applicable.
Qualifications
• 5.5+ years of overall experience, including 4+ years working with Big Data technologies.
• Strong hands-on experience with Hadoop ecosystem technologies such as Spark, Kafka, Hive, NiFi, Airflow, Flink, or similar tools.
• Experience building both batch and real-time data pipelines.
• Strong programming skills in Java, Scala, or Python, with Java preferred.
• Experience with NoSQL and MPP platforms such as HBase, MongoDB, Cassandra, Redshift, Azure SQL DW, or BigQuery.
• Hands-on experience with AWS data and cloud services.
• Experience with relational databases such as Oracle, MySQL, SQL Server, or PostgreSQL.
• Understanding of ETL tools, data governance, distributed messaging, and data platform architectures.
• Strong knowledge of data pipeline performance tuning and optimization.
• Bachelor’s degree or equivalent combination of education and experience.
Senior Associate Data Engineer
We are seeking a Senior Associate Data Engineer to design, develop, and optimize scalable data engineering solutions. The ideal candidate will have strong experience with Big Data technologies, data ingestion and transformation, real-time pipelines, cloud platforms, and distributed data processing. This role will work closely with stakeholders to translate business requirements into robust technical solutions.
Responsibilities
• Design and implement scalable data ingestion, integration, and transformation pipelines.
• Build batch and real-time data pipelines using distributed data processing and messaging technologies.
• Develop solutions for data analytics, search, aggregation, and large-scale data processing.
• Work with cloud-based data platforms and services, primarily AWS.
• Optimize data pipelines and applications for performance, reliability, and scalability.
• Work with NoSQL, MPP, and relational database technologies.
• Participate in technical design discussions and independently drive data engineering solutions.
• Apply data governance, security, lineage, and cataloging best practices where applicable.
Qualifications
• 5.5+ years of overall experience, including 4+ years working with Big Data technologies.
• Strong hands-on experience with Hadoop ecosystem technologies such as Spark, Kafka, Hive, NiFi, Airflow, Flink, or similar tools.
• Experience building both batch and real-time data pipelines.
• Strong programming skills in Java, Scala, or Python, with Java preferred.
• Experience with NoSQL and MPP platforms such as HBase, MongoDB, Cassandra, Redshift, Azure SQL DW, or BigQuery.
• Hands-on experience with AWS data and cloud services.
• Experience with relational databases such as Oracle, MySQL, SQL Server, or PostgreSQL.
• Understanding of ETL tools, data governance, distributed messaging, and data platform architectures.
• Strong knowledge of data pipeline performance tuning and optimization.
• Bachelor’s degree or equivalent combination of education and experience.
