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Data Engineer Flink Jobs (NOW HIRING)

Principal Data Engineer Locations: Waltham, MA - Hybrid About the Role We are seeking a highly ... Flink, cloud-native platforms, and AWS technologies. The ideal candidate will have extensive ...

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets

Principal Data Engineer

Charlotte, NC · On-site

$100K - $110K/hr

Job Title: Principal Data Engineer - Principal Data Engineer Job Type: Contract W2 Location ... Hands-on experience building real-time data pipelines (Kafka, Spark Streaming/Flink) * Solid ...

We're looking for a Manager, Data Engineering with deep Big Data expertise to design, develop, and ... Strong expertise in Hadoop, Spark, Kafka, Flink, and related frameworks * Proficiency in SQL, NoSQL ...

NOSQL Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... Apache Flink, Spark Streaming). • Proficiency in software engineering languages (Java, Python, or Scala). • Strong background in data modeling, schema design, and query optimization. • ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Proficiency in Hadoop, Kudu, Hive, Kafka, Spark and/or Flink. * Proficiency in real-time and batch ... Bachelor's degree in Data Engineering, Data Science, Data Management, Information Systems or ...

Data Engineer

Brooklyn, NY · On-site

$130K - $200K/yr

We are looking for a data engineer to design, build and optimize Shaped's real-time and batch ... Nice-to-have skills should include DBT, Meltano, Airflow, and Apache Flink (or other stream ...

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

We are looking for a data engineer to design, build and optimize Shaped's real-time and batch ... Nice-to-have skills should include DBT, Meltano, Airflow, and Apache Flink (or other stream ...

AWS Data Engineer(12+ Years)

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer AWS & Streaming Location: Fort Mill SC or New York, NY (2-3 Days Hybrid) Experience ... Design and manage real-time streaming solutions using Kafka, KSQL, and Apache Flink * Implement and ...

Sr. Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... Flink or Storm) • Proficiency in atleast one cloud data lakehouse platforms (preferably AWS data lake services or Databricks, alternatively Hadoop), atleast one relational data stores (Postgres ...

Principal Data Engineer Locations: Waltham, MA - Hybrid About the Role We areseekinga highly ... Flink, cloud-native platforms, and AWS technologies. The ideal candidate will have extensive ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Proficiency in Hadoop, Kudu, Hive, Kafka, Spark and/or Flink. * Proficiency in real-time and batch ... Bachelor's degree in Data Engineering, Data Science, Data Management, Information Systems or ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

... Flink, and more * Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data ... Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building ...

Data Engineer II

Aliso Viejo, CA · On-site

$150K - $225K/yr

Data Engineer II Aliso Viejo, CA The Data Engineering Team fuels real-time, intelligent data ... Your work will include developing JVM based applications using Kotlin, Scala, or Java, Flink jobs ...

You will mentor engineers, define technical roadmaps, establish best practices, and ensure the successful execution of data engineering projects. Requirements Key Responsibilities * Lead the ...

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

You have experience with big data technologies like Hadoop, Spark, or Flink * You can write SQL queries in your sleep and have experience with programming languages like Python * You're familiar with ...

Hadoop Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Spark / Flink (large-scale data processing) Feature Engineering: Advanced transformations, feature design patterns Data Modeling: Complex transformations, aggregation strategies Feature Stores: Hands ...

Sr Data Engineer

Lake Saint Louis, MO · On-site

$108K - $130K/yr

Senior Data Engineer Position Purpose: This position will provide the IT Shared Services with a ... Streaming Frameworks - Apache Spark, Apache Storm, Kafka K-Streams, Apache Samza, Apache Flink ...

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Data Engineer Flink information

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$44.5K

$129.7K

$177.5K

How much do data engineer flink jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data engineer flink in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a data engineer Flink?

A Data Engineer Flink is a data engineering professional who specializes in using Apache Flink, an open-source stream processing framework, to build, maintain, and optimize systems that process large-scale data in real time. They design and implement data pipelines, ensure data quality and consistency, and collaborate with other engineering teams to deliver reliable and scalable data solutions. Their expertise allows organizations to process, analyze, and react to data as it is generated, enabling real-time insights and decision-making.

What are the key skills and qualifications needed to thrive as a data engineer Flink?

To thrive as a Data Engineer specializing in Flink, you need strong programming skills (especially in Java or Scala), a solid understanding of distributed data processing, and experience with data architecture. Familiarity with Apache Flink, stream processing frameworks, big data tools (like Kafka, Hadoop, or Spark), and cloud platforms is typically required, along with relevant certifications. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills help you excel in complex data environments. These competencies are crucial for building reliable, scalable data pipelines that power real-time analytics and business decision-making.

What are some common challenges data engineers face when working with Apache Flink in a production environment?

Data Engineers working with Apache Flink often encounter challenges such as managing stateful stream processing at scale, ensuring fault tolerance, and optimizing resource usage for real-time data pipelines. Handling late-arriving data and tuning Flink jobs for low latency and high throughput are also frequent hurdles. Collaborating closely with data scientists and application developers is key to aligning data models and ensuring smooth data flow throughout the system.

Are data engineers still in demand?

Data engineers, including those skilled in Apache Flink, are in high demand due to the increasing need for real-time data processing and scalable data infrastructure. Organizations seek professionals with expertise in big data tools, cloud platforms, and programming languages like Java or Scala to build and maintain data pipelines. The role is expected to grow as data-driven decision-making becomes more critical across industries.
More about Data Engineer Flink jobs

What cities are hiring for Data Engineer Flink jobs?

Cities with the most Data Engineer Flink job openings:

What states have the most Data Engineer Flink jobs?

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

Infographic showing various Data Engineer Flink 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Principal Data Engineer

SS&C Technologies

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


SS&C Technologies rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

150th of 247 rated software companies


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 are seeking a highly skilled and hands-on Principal Data Engineer to lead the design, and development of scalable real-time data platforms and distributed data processing systems. 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 ideal candidate will have extensive experience building enterprise-scale streaming platforms, developing resilient microservices, optimizing large-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 industry expertise to support complex financial and health care operations. Our teams design, implement, and operate solutions 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, and exactly once semantics.

  • 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 and maintain cloud-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.

  • Design optimized relational 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
  • Strong expertise in Java, Spring Boot, REST API development, and Microservices Architecture

  • Proficiency in 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

  • Solid expertise in 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

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

What Sets You Apart
  • Bachelor's or master's degree 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, and highly available distributed systems

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

Join SS&C, where innovation meets global opportunities. Click here to apply.
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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.
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.

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About SS&C Technologies

Sourced by ZipRecruiter

SS&C Technologies is a prominent player in the software and IT services industry, specializing in investment and financial technologies. The company is headquartered in Windsor, Connecticut, USA, with the core mission to deliver advanced technology-driven solutions and software for the global financial services industry. SS&C Technologies was established in 1986, and since its inception, the company has grown immensely to offer a comprehensive portfolio of services that include fund administration, securities industry software, insurance and pension funds software, asset management, and trading and settlement services.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Windsor, CT, US

Year founded

1986