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Data Engineer Flink Jobs (NOW HIRING)

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... Experience with Apache Flink for low-latency stream processing. * Scripting: Proficiency in Python ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Experience with Apache Flink for low-latency stream processing. • Scripting: Proficiency in ...

RIT Solutions, Inc.

Senior data engineer

$108K - $147K/yr

The role involves working with technologies like Flink, Spark, and Kafka to ensure efficient data ... Required : • programming language in either java, GO, or scala • spark • apache flink • ...

PlayStation Global

Data Engineer II

Aliso Viejo, CA · Remote

$122K - $146K/yr

Data Engineer IIAliso 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 ...

APN Consulting, Inc.

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Flink, Kafka Streams). • Experience with cloud data warehouses, Snowflake, and data lakes (Delta ... engineering. • Strong problem-solving skills and ability to optimize data processes for ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Job Title: Sr Data engineer Location : NYC Experience - 8+ 5 Days Onsite Look for only New york and ... Proficiency in atleast one cluster computing frameworks (preferably Spark, alternatively Flink or ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... Flink or Storm) * 3. Proficiency in atleast one cloud data lakehouse platforms (preferably AWS data lake services or Databricks, alternatively Hadoop), atleast one relational data stores (Postgres ...

Overwatch Agriculture

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

As a Principal Data Engineer, you will lead a team in building and maintaining scalable, reliable ... Oversee the development of stream processing applications using Apache Spark or Apache Flink, and ...

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years ... Kafka, Flink, or Spark Streaming) * 3+ Years Experience in open source frameworks (Spring Boot ...

OperAxis

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

OperAxis is a company seeking a Data Engineer to join their team. The role involves designing and ... Flink) • Retail or large-scale consumer data experience Company : Welcome to OperAxis, a leader ...

Kanak Elite Services Inc

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

DATA ENGINEER III CONTRACT LENGTH: 6 - 12 MONTH CONTRACT, LOOKING TO THEN CONVERT ONSITE 5 DAYS A ... Experience with event streaming (Kafka/Kinesis/Flink) and API-based data integration. * Experience ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Experience with real-time data processing frameworks (e.g., Kafka, Spark, Flink). * Knowledge of CI/CD and DevOps practices in a data engineering context. * Familiarity with data governance tools and ...

Tabner Inc

Data Engineer

Denver, NC · On-site

$105K - $127K/yr

We are looking for a mid level engineer to build and operate a data platform that uses Apache ... Docker image creation & testing: write multi stage Dockerfiles for Spark/Flink/Presto, run local ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Experience with real-time data processing frameworks (e.g., Kafka, Spark, Flink). * Knowledge of CI/CD and DevOps practices in a data engineering context. * Familiarity with data governance tools and ...

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Requirement - GCP Data Engineer Location- Bentonville, Arkansas Contract W2 KEY RESPONSIBILITIES ... Familiarity with real-time streaming (Kafka, Dataflow/Flink) * Retail or large-scale consumer data ...

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

GCP Data Engineer KEY RESPONSIBILITIES * Design and build scalable ETL/ELT pipelines using Apache ... Familiarity with real-time streaming (Kafka, Dataflow/Flink) * Retail or large-scale consumer data ...

Capital One

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

Capital One

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

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Data Engineer Flink information

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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.
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Data Engineer Flink jobs near you
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.

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted yesterday

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers

Job description

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process massive datasets in both batch and real-time. You will work at the intersection of software engineering and data science, ensuring that our data architecture is scalable, reliable, and follows industry best practices.
Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities:
  • Pipeline Development: Design and implement complex data processing pipelines using Apache Spark.
  • Architectural Leadership: Build scalable, distributed systems that handle high-throughput data streams and large-scale batch processing.
  • Infrastructure as Code: Manage and provision cloud infrastructure using Terraform.
  • CI/CD & Automation: Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment.
  • Code Quality: Uphold rigorous software engineering standards, including comprehensive unit/integration testing, code reviews, and maintainable documentation.
  • Collaboration: Work closely with stakeholders to translate business requirements into technical specifications.

Basic Qualifications:
  • Bachelors degree in Computer Science, Engineering, Mathematics, or a related technical discipline
  • A minimum of 5 years of experience in the data engineering and software development life cycle. Including:
    • A minimum of 4 years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores.
    • A minimum of 4 years of hands-on experience working with AWS cloud services
  • Comprehensive experience with one or more programming languages such as Python, Java, or Rust
  • Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.)
  • Familiarity with time series database, data streaming applications, event driven architectures, Kafka, Flink, and more
  • Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.)
  • Experience with designing and implementing real-time pipelines
  • Experience with data quality and validation
  • Experience with API design
  • Distributed Computing: Deep expertise in Apache Spark (Core, SQL, and Structured Streaming).
  • Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building production-grade applications in a JVM-based environment.
  • SQL Proficiency: Advanced knowledge of SQL for data transformation, analysis, and performance tuning.
  • DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines.
  • Software Engineering Foundation: Solid understanding of data structures, algorithms, and design patterns. Experience applying "Clean Code" principles to data engineering.
  • Stream Processing: Experience with Apache Flink for low-latency stream processing.
  • Scripting: Proficiency in Python for automation, data analysis, or scripting.
  • Cloud Platforms: Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks).
  • Data Modeling: Familiarity with dimensional modeling, Lakehouse architectures (Delta Lake, Iceberg), or NoSQL databases.

Preferred Qualifications:
  • Comprehensive knowledge of relational database concepts, including data architecture, operational data stores, Interface processes, multidimensional modeling, master data management, and data manipulation
  • Expert knowledge and experience with custom ETL design, implementation and maintenance
  • Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies
  • Certification in AWS or other cloud providers
  • Experience with Databricks notebook workflows
  • Experience with Terraform

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