1

Apache Flink Jobs (NOW HIRING)

This role requires deepexpertisein Java-based backend engineering,microservicesarchitecture, event-driven systems, Apache Kafka, Apache Flink, cloud-native platforms, and AWS technologies. The ideal ...

Apache Flink on AWS Cloud, enabling scalable, low-latency, and fault-tolerant data processing platforms for business-critical use cases (e.g., Fraud detection, AML). * Core Technical Skills: * Strong ...

Software Development Engineer - Data

Cupertino, CA · On-site

$141K - $169K/yr

Experienced Poweruser (at least 2 years of running production applications) of Apache Flink or Committer to Apache Flink. BS or MS degree in computer science or equivalent professional experience.

This role requires deep expertise in Java-based backend engineering, microservices architecture, event-driven systems, Apache Kafka, Apache Flink, cloud-native platforms, and AWS technologies. The ...

... Flink deployments 1. Confluent Kafka / Apache Kafka Kafka topic design and partition management Producer/consumer configuration and optimization Schema Registry setup and governance Kafka broker ...

New

Provide technical leadership in building and maintaining the data infrastructure and products for platform; process continuous data streams in near real-time using Apache Flink; use Prometheus and ...

New

Data Engineer

$117K - $140K/yr

Apache Spark Structured Streaming is acceptable instead of Flink * Design and maintain batch and hybrid ETL pipelines using SQL Server and SSIS * Own data quality, observability, and reliability ...

New

Senior Software Engineer - Streaming Data

Seattle, WA · On-site

$139K - $183K/yr

Responsibilities : • Lead the development, architecture, and maintenance of real-time streaming pipelines with Apache Flink, Kafka, and related tools to ensure low-latency, reliable data delivery ...

Apache Flink or related technologies: For advanced real-time stream processing, complex event processing (CEP), and stateful computations. * Apache Pinot or related technologies: For ultra-low ...

Senior Data Engineer AWS & Streaming

Manhattan, NY · On-site

$116K - $158K/yr

Design and manage real-time streaming solutions using Kafka, KSQL, and Apache Flink * Implement and enforce comprehensive data quality frameworks, including validation, profiling, monitoring, and ...

New

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

Oversee the development of stream processing applications using Apache Spark or Apache Flink, and implement real-time data transformations and analytics using KSQL. * Data Storage: Design and ...

Preferred Qualifications Good knowledge of Apache Iceberg and Apache Kafka. Experience working on or building connectors from Flink to any of the data sources. Knowledge of Yarn, Kubernetes or other ...

next page

Showing results 1-20

Apache Flink information

See salary details

$44

$60

$80

How much do apache flink jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for apache flink in the United States is $60.08, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $72.12 per hour, depending on experience, location, and employer.

What are some common challenges faced by Apache Flink Developers when working on real-time data processing projects?

Apache Flink Developers often encounter challenges such as managing stateful streaming applications, ensuring fault tolerance, and scaling jobs to handle high-throughput data streams. Debugging and monitoring distributed Flink jobs can also be complex, requiring familiarity with Flink’s tooling and metrics. Collaboration with data engineers and DevOps teams is essential to optimize performance and maintain the reliability of streaming pipelines.

What are the key skills and qualifications needed to thrive as an Apache Flink Developer, and why are they important?

To thrive as an Apache Flink Developer, you need strong programming skills in Java or Scala, a solid understanding of distributed systems, and experience with real-time data processing, often supported by a degree in computer science or a related field. Familiarity with Flink APIs, stream processing frameworks, and tools like Kafka, Hadoop, and cloud platforms is typically required. Problem-solving ability, attention to detail, and effective teamwork are valuable soft skills for success in this role. These competencies ensure efficient development, deployment, and maintenance of robust streaming data applications, enabling organizations to process and analyze data in real time.

What is Apache Flink?

Apache Flink is an open-source stream processing framework for distributed, high-performing, always-available, and accurate data streaming applications. It is designed to process unbounded and bounded data streams and provides powerful capabilities for real-time analytics, event-driven applications, and batch processing. Flink is widely used for its scalability, low latency, and fault tolerance, making it a popular choice for big data and real-time data processing tasks.

What is the difference between Apache Flink vs Apache Spark Developer?

AspectApache FlinkApache Spark Developer
Primary FocusReal-time stream processingBatch and stream processing
Work EnvironmentDistributed data processing systems, often in real-time applicationsBig data analytics, batch jobs, and some streaming
Required SkillsJava, Scala, streaming concepts, distributed systemsJava, Scala, SQL, big data frameworks
Industry UsageFinance, IoT, real-time analyticsData warehousing, analytics, machine learning

Apache Flink and Apache Spark Developers both work with big data frameworks, but Flink specializes in real-time stream processing, while Spark covers both batch and streaming tasks. Choosing between them depends on the specific data processing needs of the organization.

Infographic showing various Apache Flink job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $124,958 per year, or $60.1 per hour.
Principal Data Engineer

Principal Data Engineer

SS&C

Waltham, MA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

Principal Data Engineer

Locations:Waltham, MA - Hybrid

About the Role

We areseekinga highly skilled and hands-onPrincipal Data Engineerto lead the design, and development of scalable real-time data platforms and distributed data processing systems. This role requires deepexpertisein Java-based backend engineering,microservicesarchitecture, event-driven systems, Apache Kafka, Apache Flink, cloud-native platforms, and AWS technologies.

The ideal candidate will have extensive experience building enterprise-scale streaming platforms, developing resilient microservices,optimizinglarge-scale data pipelines, and driving engineering best practices. This role will collaborate closely with Product, Architecture, Application Development, Analytics, SRE, and DevOps teams to deliver highly scalable, reliable, and high-performance data solutions.

Why Join SS&C

SS&C combines proprietary technology with deep industryexpertiseto support complex financial and health care operations. Our teams design, implement, andoperatesolutions that help clients manage data, automate processes, and scale their businesses with confidence.

You will work with industry experts, modern platforms, and evolving technologies, gaining exposure to real-world operational challenges and large-scale enterprise environments.

How You Will Make an Impact

  • Lead the design, and development of scalable real-time data platforms and event-driven streaming solutions using Apache Kafka, Apache Flink, Java, Spring Boot, and AWS cloud-native technologies.

  • Design and implement high-performance batch and streaming data pipelines with advanced stream-processing capabilities including stateful processing, windowing, event-time processing, checkpointing, fault tolerance, andexactly oncesemantics.

  • Develop scalable microservices, REST APIs, reusable data frameworks, and enterprise data processing components.

  • Drive platform modernization, technical design reviews, engineering standards, and adoption of innovative technologies to improve scalability, reliability, performance, and operational efficiency.

  • Design andmaintaincloud-native infrastructure, CI/CD pipelines, deployment automation, and containerized applications using Kubernetes, Docker, Terraform/CloudFormation, ECS/EKS, and AWS services including S3, MSK, Redshift, Aurora, RDS, Lambda, Glue, and CloudWatch.

  • Designoptimizedrelational and analytical data models using Oracle, PostgreSQL, Redshift, and Aurora, including performance tuning, indexing, partitioning, and query optimization.

  • Implement observability, monitoring, alerting, logging, data quality validation, and reconciliation frameworks to ensure operational excellence and platform reliability.

  • Troubleshoot complex production issues, perform root-cause analysis, and collaborate with SRE and DevOps teams to improve platform stability, scalability, and deployment automation.

  • Provide technical leadership, mentorship, and guidance to engineering teams while driving best practices, governance, and continuous improvement initiatives.

Required Experience

  • Strongexpertisein Java, Spring Boot, REST API development, and Microservices Architecture

  • Proficiencyin Python is preferred; experience with Node.js is a plus

  • Strong hands-on experience with Apache Kafka, Kafka Connect, Kafka Streams, Apache Flink, and AWS MSK

  • Extensive experience designing and developing cloud-native applications on AWS

  • Solidexpertisein Kubernetes, Docker, Terraform/CloudFormation, ECS, and EKS environments

  • Strong knowledge of Oracle, PostgreSQL, Amazon Redshift, and Amazon Aurora databases

  • Experience with data modeling, database optimization, query tuning, indexing, and performance improvement strategies

  • Proven experience developing and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, Maven/Gradle, and SonarQube

  • Strongexpertisein monitoring, logging, and observability tools including CloudWatch, Prometheus, Grafana, ELK Stack, and related operational frameworks

What Sets You Apart

  • Bachelor's or master'sdegree in computer science, Engineering, Information Systems, or a related field

  • 8+ years of software engineering or data engineering experience

  • 5+ years of hands-on experience with Apache Kafka and event-driven architectures

  • 4+ years of experience with Apache Flink and real-time stream processing

  • Strong experience designing scalable, fault-tolerant, andhighly availabledistributed systems

  • Proven experience leading enterprise-scale platform initiatives and mentoring engineering teams

Join SS&C, where innovation meets global opportunities.Click heretoapply.

#LI-PE1

#LI-HYBRID

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location.Massachusetts: The expected base salary for the position is between 160,000 USD to 170,000 USD.

Applications will be accepted on an ongoing basis until the position is filled.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.