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Data Engineer Flink Jobs in Spring, TX (NOW HIRING)

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 ...

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

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 ...

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct ... Flink, AWS Glue or other AWS services. * Work within cloud environments like AWS to leverage ...

Data Engineer Flink information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do data engineer flink jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data engineer flink in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Data Engineer Flink jobs in Spring, TX? For Data Engineer Flink jobs in Spring, TX, the most frequently searched job titles are:
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What cities near Spring, TX are hiring for Data Engineer Flink jobs? Cities near Spring, TX with the most Data Engineer Flink job openings:

Data Engineer

Kanak Elite Services Inc

Houston, TX • On-site

$109K - $131K/yr

Contractor

Re-posted 12 days ago


Job description

Hello There,

Wish you a Happy Wednesday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

TITLE: DATA ENGINEER III

CONTRACT LENGTH: 6 - 12 MONTH CONTRACT, LOOKING TO THEN CONVERT

ONSITE 5 DAYS A WEEK IN DOWNTOWN HOUSTON OFFICE. LOOKING FOR HOUSTON LOCAL TALENT. 

NEED SENIOR CANDIDATES 12+ – 15+ YEARS OF CANDIDATE

 Required Qualifications

  • 7–10+ years of experience in Data Engineering or closely related Software Engineering roles with a data focus.
  • Expert-level SQL development and data analysis skills, including advanced query optimization and debugging.
  • Strong Python engineering skills and familiarity with software design principles and patterns (e.g., SOLID), unit testing, refactoring, and version control.
  • Hands-on experience building ELT/ETL pipelines and orchestration with tools such as Astronomer/Airflow; proficiency with Git and CI/CD.
  • Deep understanding of core data engineering patterns: ingestion, transformation, modeling (dimensional/SCDs), and delivery.
  • Proven experience with database physical design including partitioning and effective partition key selection; exposure to clustering and micro-partitioning on MPP/cloud data platforms.
  • Experience implementing data quality frameworks, observability/monitoring, and robust operational SLAs.
  • Experience with Lakehouse table formats (Apache Iceberg/Delta/Hudi) and columnar storage (Parquet) on object storage (e.g., AWS S3).
  • Strong communication skills with the ability to present complex technical concepts to both technical and business stakeholders.

Preferred Qualifications

  • Experience optimizing Snowflake workloads (compute sizing, tasks/streams, clustering, micro-partitioning).
  • Experience with dbt, Data Build Tool, or similar for transformation and testing.
  • Experience with event streaming (Kafka/Kinesis/Flink) and API-based data integration.
  • Experience with data catalog, governance, and lineage platforms.
  • Domain experience in Oil & Gas midstream operations or industrial IoT/time-series data.