Role overview

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or related field.
3+ years of experience in big data engineering or related roles.
Proficiency in distributed data processing frameworks (e.g., Spark, Hadoop, Hive).
Strong programming skills in Python, Java, or Scala.

Responsibilities

Design and implement robust, scalable data pipelines using tools like Apache Spark, Hadoop, Kafka, and Flink.
Develop ETL processes to ingest, transform, and store structured and unstructured data.
Optimize data workflows for performance, reliability, and scalability.
Collaborate with data scientists, analysts, and software engineers to support data needs.

Key facts

Remote from: Georgia (USA)
Full time
Mid-level (2-5 years)
Field Engineer (Solutions)
English

Hard skills

Apache Spark Apache Hadoop Apache Kafka Apache Flink Data Quality Python (Programming Language) Java (Programming Language) Scala (Programming Language) Amazon Web Services Microsoft Azure gRPC SQL (Programming Language) NoSQL Amazon Redshift BigQuery Data Lakes Data Grid Kubernetes

About the company

OVA.Work

Computer Software / SaaS

OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Since 2018, OVA has been raising the bar in the Human Capital Management Software Industry. Headquartered in Alpharetta, Georgia, We allow high-volume employers to create a seamless on-boarding experience with just a few clicks. Our E-boarding and candidate engagement tool will simplify employers Work life, eliminate Manual Processes, paper work, dropouts and delays and helps you keep track of employee progress, allowing new hires to get the most out of the on-boarding experience. Hire 80% faster and reduce your time and cost by 50% and improve the overall experience. We are proud to be the first company to put Powerful, easy to use on-boarding platform into the hands of startups, growing companies and enterprises alike. # New Hire On-board Smart with Technology: • Automated Intro Emails • Easy-Fill web Forms • Paperless, E-Signature-Enabled Processes • Personalized Portals • Track Employee Progress • Easy-to-use Notifications • Schedule Deadlines • Intuitive Dashboard • Centralized Employee Data • Submit Employee Verification Requirements • Payroll Integrations • Fully integrated System Reach us today to learn how ova.work can help you to enhance your New Hire On-boarding process to the next level.

Company details

IndustryComputer Software / SaaS

Company size51 - 200

Links

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Job description

Job Title: Big Data Engineer

Location: Remote
Job Type: Contract
Department: [Data Engineering/IT/Analytics]
Reports To: [Data Engineering Manager/CTO]

Job Summary:

We are looking for a skilled Big Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have experience working with large datasets, distributed systems, and modern data processing frameworks. You will play a key role in enabling data-driven decision-making across the organization.

Key Responsibilities:

Design and implement robust, scalable data pipelines using tools like Apache Spark, Hadoop, Kafka, and Flink.
Develop ETL processes to ingest, transform, and store structured and unstructured data.
Optimize data workflows for performance, reliability, and scalability.
Collaborate with data scientists, analysts, and software engineers to support data needs.
Ensure data quality, governance, and security across platforms.
Monitor and troubleshoot data pipeline issues and system performance.
Stay current with emerging big data technologies and best practices.

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or related field.
3+ years of experience in big data engineering or related roles.
Proficiency in distributed data processing frameworks (e.g., Spark, Hadoop, Hive).
Strong programming skills in Python, Java, or Scala.
Experience with cloud platforms (AWS, Azure, GCP) and data services.
Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
Knowledge of SQL and NoSQL databases.

Preferred Qualifications:

Experience with real-time data processing using Kafka, Flink, or similar tools.
Understanding of data lake and data mesh architectures.
Exposure to containerization and orchestration tools (Docker, Kubernetes).
Certifications in cloud or big data technologies.

Benefits:

Competitive salary and performance incentives.
Health, dental, and vision insurance.
Flexible work hours and remote work options.
Opportunities for professional development and training.