Senior Data Engineer
Location: Onsite Bentonville AR
Duration: 6-month contract to hire
Work Authorization: USC / GC / GC EAD
Role Overview
We are seeking a highly skilled Senior Data Engineer to join a growing data engineering organization and contribute to the design development and scaling of modern cloud-based data platforms. This role will work closely with engineering leadership and cross-functional teams to drive high-impact data solutions supporting large-scale low-latency and data-intensive applications.
This position requires strong hands-on engineering expertise architectural thinking and ownership mindset with direct exposure to the final decision maker.
Key Responsibilities
- Design build and maintain scalable high-performance data systems and services.
- Develop and support microservices-based applications using modern programming languages and frameworks.
- Architect and optimize data pipelines and storage solutions across SQL and NoSQL technologies.
- Collaborate with teams to support continuous integration and continuous delivery (CI/CD) best practices.
- Implement and manage high-throughput low-latency messaging and streaming solutions.
- Leverage public cloud platforms and cloud-native services to deliver reliable production-grade systems.
- Participate in technical discussions reviews and documentation to ensure best practices and knowledge sharing.
- Take ownership of deliverables while working effectively within a collaborative team environment.
Required Skills & Experience
- Strong experience with Java and Python including application and service development.
- Solid understanding of microservices architecture and application design principles.
- Hands-on experience with SQL and NoSQL databases such as:
- BigQuery
- Cosmos DB
- Cassandra
- PostgreSQL
- Experience with DevOps practices including CI/CD pipelines and automated deployments.
- Experience working with Kafka or other high-volume low-latency messaging systems.
- Deep experience with public cloud platforms and cloud-native services.
- Strong background in big data technologies including Hadoop Hive and/or Spark.
- Excellent analytical and problem-solving skills.
- Strong technical writing verbal communication and presentation abilities.
- Demonstrated ability to take ownership and thrive in a fast-paced team-oriented environment.
- Passion for technology continuous learning and engineering excellence.
Senior Data Engineer Location: Onsite Bentonville AR Duration: 6-month contract to hire Work Authorization: USC / GC / GC EAD Role Overview We are seeking a highly skilled Senior Data Engineer to join a growing data engineering organization and contribute to the design development...
Senior Data Engineer
Location: Onsite Bentonville AR
Duration: 6-month contract to hire
Work Authorization: USC / GC / GC EAD
Role Overview
We are seeking a highly skilled Senior Data Engineer to join a growing data engineering organization and contribute to the design development and scaling of modern cloud-based data platforms. This role will work closely with engineering leadership and cross-functional teams to drive high-impact data solutions supporting large-scale low-latency and data-intensive applications.
This position requires strong hands-on engineering expertise architectural thinking and ownership mindset with direct exposure to the final decision maker.
Key Responsibilities
- Design build and maintain scalable high-performance data systems and services.
- Develop and support microservices-based applications using modern programming languages and frameworks.
- Architect and optimize data pipelines and storage solutions across SQL and NoSQL technologies.
- Collaborate with teams to support continuous integration and continuous delivery (CI/CD) best practices.
- Implement and manage high-throughput low-latency messaging and streaming solutions.
- Leverage public cloud platforms and cloud-native services to deliver reliable production-grade systems.
- Participate in technical discussions reviews and documentation to ensure best practices and knowledge sharing.
- Take ownership of deliverables while working effectively within a collaborative team environment.
Required Skills & Experience
- Strong experience with Java and Python including application and service development.
- Solid understanding of microservices architecture and application design principles.
- Hands-on experience with SQL and NoSQL databases such as:
- BigQuery
- Cosmos DB
- Cassandra
- PostgreSQL
- Experience with DevOps practices including CI/CD pipelines and automated deployments.
- Experience working with Kafka or other high-volume low-latency messaging systems.
- Deep experience with public cloud platforms and cloud-native services.
- Strong background in big data technologies including Hadoop Hive and/or Spark.
- Excellent analytical and problem-solving skills.
- Strong technical writing verbal communication and presentation abilities.
- Demonstrated ability to take ownership and thrive in a fast-paced team-oriented environment.
- Passion for technology continuous learning and engineering excellence.
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