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Data Engineer Flink Jobs in Indiana (NOW HIRING)

Data Engineer Flink information

What are the key skills and qualifications needed to thrive as a Data Engineer Flink, and why are they important?

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.

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.
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Staff Software Engineer, Data Ingestion - Slack

Staff Software Engineer, Data Ingestion - Slack

Salesforce

Indianapolis, IN • On-site

Full-time

Posted 2 days ago


Salesforce rating

7.8

Company rating: 7.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

99th of 183 rated software companies


Job description

Job Summary:
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. They are seeking a Staff Software Engineer to join the Data Ingestion Team, responsible for designing and developing scalable data ingestion and processing systems. The role involves collaborating with cross-functional teams to build a resilient ingestion platform leveraging modern technologies.
Responsibilities:
• Design and develop highly scalable and resilient streaming and batch pipelines for ingesting and processing structured and unstructured datasets
• Design and implement Slack’s Lakehouse solutions and enable production use cases for customers
• Improve the reliability and performance of the services/pipelines through AI assisted and/or Agentic solutions and tools.
• Automate and handle the lifecycle of datasets (schema evolution, metadata management, change and backfill management, deprecation and migration).
• As one of the tech leads, comfortably collaborate with cross functional partners and lead technical initiatives independently end to end.
• Be a role model and a multiplier, coaching and mentoring other engineers across the team and the org.
• Write, review, or provide feedback on a technical design proposal from others.
Qualifications:
Required:
• U.S. citizenship and willing to undergo a background check for GovSlack authorization. We can not provide visa sponsorship for this role.
• 7+ years of software/data engineering experience, including experience with building applications using Streaming and Lakehouse technologies, e.g. Kafka/Kafka Connect, Flink/Spark Streaming, Iceberg/Hudi/Delta or equivalent
• You have hands on experience and knowledge on building and maintaining batch data pipelines using Spark, Airflow, EMR, S3 or equivalent
• You are proficient in object-oriented and/or functional programming languages: SQL, Python, Java/Scala, Go or equivalent
• You are skilled at crafting and building robust distributed microservices with tools like Kubernetes, Docker, AWS ECS/EKS, Terraform, Grafana, etc.
• You are familiar with AI-assisted software development and automation and have hands on experience of Claude Code/Codex or equivalent
• You have excellent written and verbal communication and interpersonal skills; able to effectively collaborate with cross functional partners and explaining sophisticated technical concepts to non-technical stakeholders
Company:
Salesforce is a cloud-based software company that provides customer relationship management software and applications. Founded in 1999, the company is headquartered in San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.

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