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Senior Big Data Engineer Jobs (NOW HIRING)

Senior Big Data Developer

Tampa, FL · On-site

$113K - $170K/yr

Citi is looking for a Senior Big Data Developer to design, build, and scale high-performance data platforms that power critical business decisions across our global financial institution. In this ...

Senior Big Data Developer

Tampa, FL · On-site

$113K - $170K/yr

Citi is looking for a Senior Big Data Developer to design, build, and scale high-performance data platforms that power critical business decisions across our global financial institution. In this ...

Sr. Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Years of Experience - 7+ Mandatory Skills - Java, Oracle, SQL , Green Plum Good Communication skill, Onsite experience Senior Big Data Technology Developer will be responsible for technically leading ...

Senior Big Data Engineer

Plano, TX · On-site

$53.25 - $70.50/hr

Looking for true software engineering skill set. Experience working with large data sets, ETL, or applications that do high-volume data collection. Spark or other large scale data processing AWS ...

Senior Big Data Developer

Tampa, FL · On-site

$114 - $171/hr

Citi is looking for a Senior Big Data Developer to design, build, and scale high-performance data platforms that power critical business decisions across our global financial institution. In this ...

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Role: Big Data Engineer Type: Long-Term Contract Location: Phoenix, AZ (Onsite/Hybrid) Top Skills ... Thanks & Regards Abhay Kumar Jain Senior Technical Recruiter INCEPTRA SOLUTIONS LLC 1101 Perimeter ...

New

Senior Big Data Consultant

Chicago, IL · On-site

$69.25 - $92.75/hr

Senior Big Data Consultant Location: Chicago, IL Duration: 3+ Months Description: We have a contract assignment for Big Data consultant who has expertise and experience in Hadoop, Cloudera , Spark ...

Senior Big Data Developer

Bristol, CT

$53 - $68.75/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Responsibilities: Design, develop and implement big data solutions on both ...

Sr. Big Data Developer

Minneapolis, MN

$55.25 - $71.75/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. GC/CITIZEN can apply Qualifications: Experience in database development ...

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data Engineer City :Tampa State :FL : TOP REQUIREMENTS: Big Data (Spark, Scala, Hive, Hadoop ... Compile and present key findings and reports to all levels of the organization, including senior ...

Sr. Big Data Developer

Minneapolis, MN

$55.25 - $71.75/hr

Skill Big Data Development Location Minneapolis, MN Total Experience 5 yrs. Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description GC/CITIZEN can apply Qualifications:

Sr. Big Data Architect

Mclean, VA · On-site

$68 - $91/hr

Company Description VUI Position : Sr. Big Data Architect Location: McLean, VA Type : Full Time ... developers, and interacts directly with key stakeholders. Responsible for developing long-term ...

Showing results 21-40

Senior Big Data Engineer information

See salary details

$15

$62

$88

How much do senior big data engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for senior big data 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 a senior big data engineer?

Senior Big Data Engineers are advanced-level professionals who design, build, and maintain large-scale data processing systems. They work with technologies such as Hadoop, Spark, and NoSQL databases to handle massive amounts of data efficiently. Their responsibilities often include optimizing data pipelines, ensuring data quality, and collaborating with data scientists and analysts to support business needs. Senior Big Data Engineers also mentor junior team members and help drive architectural decisions related to data infrastructure.

What skills and qualifications are needed to be a senior big data engineer?

To thrive as a Senior Big Data Engineer, you need advanced expertise in data architecture, distributed computing, and programming languages such as Java, Scala, or Python, typically backed by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms, as well as relevant certifications (e.g., Cloudera, AWS), is highly valuable. Strong problem-solving, communication, and leadership skills set outstanding candidates apart, especially when collaborating with cross-functional teams. These competencies are critical for designing scalable data solutions, ensuring data quality, and driving impactful business insights.

How does a senior big data engineer collaborate with data scientists and business stakeholders?

As a Senior Big Data Engineer, you'll frequently work alongside data scientists to design and maintain data pipelines that ensure reliable and accessible data for modeling and analytics. Collaboration with business stakeholders is also essential, as you'll help translate business requirements into technical data solutions, ensuring that data architecture supports organizational goals. Regular meetings, code reviews, and cross-team project planning are common, making strong communication and a collaborative mindset vital for success in this role.

What is the difference between Senior Big Data Engineer vs Data Architect?

AspectSenior Big Data EngineerData Architect
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's/Master's in CS, Data Science, or related; certifications like TOGAF, cloud architecture
Work EnvironmentDevelops, implements, and maintains data pipelines and systemsDesigns overall data infrastructure and architecture strategy
Employer & Industry UsageTech companies, finance, healthcare, retailLarge enterprises, consulting firms, cloud providers
Search & Comparison IntentUnderstanding technical roles, skills, and responsibilitiesFocus on data system design and strategic planning

While both roles work with data systems, a Senior Big Data Engineer primarily develops and maintains data pipelines and systems, whereas a Data Architect designs the overarching data infrastructure and strategy. The roles often collaborate but differ in scope and focus within data management.

More about Senior Big Data Engineer jobs

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What are the most commonly searched types of Big Data Engineer jobs?

The most popular types of Big Data Engineer jobs are:

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What states have the most Senior Big Data Engineer jobs?

States with the most job openings for Senior Big Data Engineer jobs include:

Infographic showing various Senior Big Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Senior Big Data Developer

Citi

Tampa, FL • On-site

$113K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Citibank rating

8.4

Company rating: 8.4 out of 10

Based on 178 frontline employees who took The Breakroom Quiz

38th of 171 rated banks


Job description

Citi is looking for a Senior Big Data Developer to design, build, and scale high-performance data platforms that power critical business decisions across our global financial institution. In this senior-level role, you will lead the development of complex data engineering solutions, working closely with cross-functional technology teams to deliver robust systems built on Java, Confluent Kafka, Apache Flink, and modern big data technologies. Your work will directly shape how Citi processes and operationalizes data at scale — driving measurable impact across products, platforms, and business outcomes.

Key Responsibilities-

  • Design and develop scalable big data pipelines and distributed systems using Java and Apache Kafka to support high-volume, real-time data processing.
  • Architect and implement data solutions that align with enterprise-wide technology standards, ensuring system reliability, performance, and maintainability.
  • Architect, deploy, and manage containerized big data workloads and microservices on Citi's Enterprise Container Solution (ECS) (built on Red Hat OpenShift Container Platform) and native Kubernetes environments.
  • Partner with engineering and product teams to identify system enhancements that enable new product capabilities and process improvements.
  • Define and enforce development standards across coding, testing, debugging, and deployment to maintain engineering quality across the team.
  • Analyze complex business and system processes to resolve high-impact technical challenges, delivering innovative and practical engineering solutions.
  • Mentor and guide mid-level developers and analysts, providing technical direction and distributing work to ensure delivery goals are met.
  • Evaluate technical and business decisions with a clear understanding of risk, ensuring all solutions meet regulatory, compliance, and data governance requirements.

Required Qualifications & Skills

  • Experience: 6+ years of hands-on experience in software or application development, with a strong focus on big data engineering, systems analysis, or distributed systems.
  • Core Language Expertise: Deep expertise in Java development, with demonstrable experience building large-scale, production-grade data applications.
  • Streaming & Messaging: Practical, hands-on experience with Confluent Kafka and Apache Flink (or Apache Spark Streaming) for real-time data streaming and event-driven architectures.
  • Containerization & Orchestration: Strong hands-on experience deploying and managing applications in Kubernetes (K8s) and enterprise container platforms such as ECS (Enterprise Container Solution) or Red Hat OpenShift.
  • Infrastructure & Platform Knowledge: Solid understanding of container orchestration concepts, including pod lifecycles, service networking, volume mounts, and resource allocation.
  • Project Delivery: Proven ability to lead and deliver complex technical projects from design through to production deployment.
  • Leadership: Demonstrated leadership capability, with experience mentoring developers and coordinating technical delivery across teams.
  • Communication: Clear and effective communication skills, with the ability to translate complex technical concepts for both engineering and non-engineering audiences.

Skills & Qualifications

  • Experience with big data frameworks such as Apache Spark, Hadoop, or Flink in a financial services or enterprise environment.
  • Familiarity with cloud-based data platforms and containerized deployment environments.
  • Exposure to data governance practices, compliance frameworks, or regulatory technology contexts

Education:

  • Bachelor’s degree/University degree in Computer Science, Engineering, or a related technical discipline
  • Master’s degree preferred


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group: Technology

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Job Family:Applications Development

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Time Type:Full time

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Primary Location:Tampa Florida United States

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Primary Location Full Time Salary Range:$113,840.00 - $170,760.00


In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills Please see the requirements listed above.

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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:Aug 30, 2026

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.


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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US