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Overnight Big Data Software Engineer Jobs (NOW HIRING)

... software engineers to build fast, scalable, and effective applications, stream and batch data ... Experience with Hadoop, Spark, Hive, and/or other big data technologies * Comprehensive computer ...

Big Data Engineer

Arlington, VA · On-site

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and ... Develop reusable loosely-coupled software components to deploy on cloud platforms. * Implement ETL ...

Big Data Engineer

Arlington, VA

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and ... Develop reusable loosely-coupled software components to deploy on cloud platforms. * Implement ETL ...

Software Engineer, Big Data

Bellevue, WA · Hybrid

$129K - $155K/yr

The Role This Software Engineer, Big Data is accountable for building and scaling high-performance data systems by developing robust data pipelines and infrastructure, working closely with Data ...

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Big Data Engineer Joining Location: Remote due to Covid but eventually (Alpharetta, GA) # of ... We are looking for an experienced Software Developers and Engineers who has a passion for building ...

Big Data Engineer

Annapolis Junction, MD · On-site

$57 - $75.25/hr

Big Data Engineer LOCATIONAnnapolis Junction, MD 20701 CLEARANCETS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational Science ...

Sr. SOFTWARE ENGINEER/Big Data

San Jose, CA

$65.25 - $86.50/hr

Mentor and coach junior engineers on various design and development aspects of big data platform. Prototype ideas quickly using cutting edge technologies Qualifications and Requirements Bachelors or ...

Big Data Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

Big Data Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this position ... Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational Science ...

Big Data Engineer

Tysons, VA · On-site

$56 - $74/hr

Big Data Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this position ... Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational Science ...

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Big Data Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this position ... Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational Science ...

Big Data Engineer

Honolulu, HI · On-site

$55 - $73/hr

Big Data Engineer LOCATIONHonolulu, HI 96815 CLEARANCETS/SCI Full Poly (Please note this position ... Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational Science ...

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Overnight Big Data Software Engineer information

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$15

$62

$88

How much do overnight big data software engineer jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for overnight big data software engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is the difference between Overnight Big Data Software Engineer vs Data Engineer?

AspectOvernight Big Data Software EngineerData Engineer
Primary FocusDeveloping and maintaining big data processing systems during overnight shiftsDesigning, building, and managing data pipelines and infrastructure
Work EnvironmentTypically in data centers or office settings with night shiftsOffice or cloud environments, often with flexible hours
Required SkillsBig data tools (Hadoop, Spark), programming, scripting, overnight shift readinessData modeling, ETL processes, database management, cloud platforms

While both roles involve working with big data technologies, the Overnight Big Data Software Engineer focuses on developing systems during night shifts, often emphasizing real-time processing and system stability. Data Engineers build and maintain data pipelines and infrastructure, usually during regular hours. Understanding these differences helps in choosing the right career path or job search focus.

What cities are hiring for Overnight Big Data Software Engineer jobs? Cities with the most Overnight Big Data Software Engineer job openings:
What are the most commonly searched types of Big Data Software Engineer jobs? The most popular types of Big Data Software Engineer jobs are:
What states have the most Overnight Big Data Software Engineer jobs? States with the most job openings for Overnight Big Data Software Engineer jobs include:

AWS Big Data Lead Software Engineer

JPMorganChase

Columbus, OH • On-site

$53.75 - $71.25/hr

Full-time

Posted 19 days ago


Job description

Job Summary:
JPMorganChase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals. They are seeking an AWS Big Data Lead Software Engineer to design and build applications utilizing modern technologies, ensure code quality, and collaborate with agile teams to meet project objectives.
Responsibilities:
• Design & build new applications utilizing leading edge technologies and modernize existing applications
• Implement batch & real-time software components consistent with architectural best-practices of reliability, security, operational efficiency, cost-effectiveness and performance
• Ensure quality of deployed code via automated unit, integration & acceptance testing
• Collaborate with multi-national agile development, support and business teams to meet sprint objectives
• Participate in all agile meetings & rituals, including daily standups, sprint planning, backlog reviews, demos, and retrospectives
• Provide level 2 support for production systems
• Learn and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Hands on applicaitn development leveraging distributed compute such as Apache flink or Spark on very large datasets
• Design and development of applications that leverage the AWS infrastructure deploying software components on AWS using common compute and storage services such as EC2, EKS, Lambda, S3
• Lead and deliver projects from concept to production across PNI (Personalization and Insights) platform
Qualifications:
Required:
• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience in Frameworks, system design, application development, testing, and operational stability
• Experience with Apache Spark, Apache Flink or similar large-scale data processing engines
• Experience with Distributed Datastores (e.g. Cassandra, Red Shift)
• Experience designing, developing and deploying software components on AWS using common compute and storage services such as EC2, EKS, Lambda, S3
• Experience with Big Data / Distributed / cloud technology (AWS Big data services like lambda, glue, glue emr, Performance tuning, Streaming, KAFKA, Entitlements etc.)
• Experience with Apache Spark, Ray or similar large-scale data processing engines
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, BigData, artificial intelligence, machine learning, mobile, etc.)
Preferred:
• Experience building ETL/Feature processing pipelines
• Experience using workflow orchestration tools—Airflow, Kubeflow etc.
• Experience using Terraform to deploy infrastructure-as-code to public cloud
• Experience with Linux scripting such as Bash, KSH, or Python
• Certified AWS Cloud Practitioner, Developer or Solutions Architect strongly preferred
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.