Demo

Kafka/Spark Developer

VLink Inc
Dallas, TX Full Time
POSTED ON 10/4/2026 CLOSED ON 10/15/2026

What are the responsibilities and job description for the Kafka/Spark Developer position at VLink Inc?

Job Title: Kafka/Spark Developer

Location: Pittsburgh, PA | Dallas, TX | Cleveland, OH | Onsite 5 days every week

Employment Type: Permanent

Duration: Full-time


About:

VLink, founded in 2006, is a leading global provider of software engineering services with next-gen technologies and best-in-class talent. Our Headquarters are in the U.S, and we have offices in 7 countries from North America-Europe to APAC, with expansion plans in the Middle East. With over 1,000 employees working globally, VLink has helped SMBs, and large enterprises achieve their business goals, and gained the trust of Fortune-250 companies. VLink is 'Great Place to Work® Certified™' and has been a consistent winner as- Best Places to Work in CT. Trust, collaboration, and accountability are the three elements that are at the core of VLink's work culture. We value our professionals, providing comprehensive benefits and the opportunity for growth.


Job Description:

Our client is looking for mid level Kafka and Spark Software Developers to join our Applications Development and Maintenance team, supporting our client which is a large Client, working in an advanced technology environment.


Duties and Responsibilities:

  • As Kafka Spark Software developers, you will be responsible for developing and maintaining scalable big data solutions using Hadoop, Spark, Kafka, and Impala to support enterprise data processing and analytics initiatives.
  • Design, build, and optimize batch and real-time data pipelines for ingesting, processing, transforming, and delivering large volumes of structured and unstructured data.
  • Develop Spark applications using PySpark, Scala, or Java for data transformation, aggregation, cleansing, and analytical processing.
  • Build and maintain Kafka producers, consumers, topics, and streaming workflows to enable reliable real-time data ingestion and event-driven architectures.
  • Design and implement logical and physical data models to support data warehousing, reporting, analytics, and business intelligence requirements.
  • Monitor, troubleshoot, and tune Kafka and Spark streaming jobs to improve performance, scalability, and operational reliability.
  • Optimize Hadoop ecosystem components, Spark jobs, Kafka configurations, and Impala queries to improve system performance and resource utilization.
  • Collaborate with architects, data engineers, DevOps teams, and business stakeholders to design and implement modern streaming and event-driven data platforms.
  • Analyzing user requirements, and defines technical project scope and assumptions for assigned tasks.
  • Creating technical designs for new systems, and/or modifications to existing systems.
  • Translating detailed requirements into functional system designs.
  • Prioritizing work, meeting deadline and also establishing and maintaining effective working relationships with clients, project team members, supervisors, and employees from other departments.
  • Partner with business leaders, enterprise architects, and product owners to identify new graph-based use cases, evaluate emerging technologies, and align Neo4j initiatives with digital transformation goals.


Requirements:

  • At least 10-12 years of experience in Big Data development, data engineering, or distributed data processing environments.
  • Strong hands-on experience with Apache Kafka, topic configuration, producer/consumer development, Kafka Connect, and Schema Registry.
  • Extensive experience developing real-time data processing applications using Apache Spark Streaming and/or Spark Structured Streaming.
  • Proficiency in Java, Scala, or Python (PySpark) with strong object-oriented programming and software development skills.
  • Proficiency in writing and optimizing complex SQL queries using Impala, Hive, or similar distributed query engines.
  • Hands-on experience with Hadoop ecosystem components including HDFS, Hive
  • Experience integrating Kafka and Spark with relational databases, NoSQL databases, cloud storage platforms, and enterprise applications.
  • Strong analytical, troubleshooting, and performance tuning skills in distributed streaming environments.
  • Excellent communication, collaboration, and stakeholder management skills, with the ability to work effectively in Agile/Scrum teams.
  • Experience working in Agile development environments with strong collaboration, technical leadership, problem-solving, and stakeholder communication skills.


Benefits:

Benefits are offered to eligible professionals on their first day of employment to include:

  • Competitive compensation
  • Comprehensive insurance options
  • Matching contributions through the 401(k) plan and the share purchase plan
  • Paid time off for vacation, holidays, and sick time
  • Paid parental leave
  • Learning opportunities and tuition assistance
  • Wellness and Well-being programs


Employment Practices:

VLink is an equal opportunity employer committed to fostering an inclusive environment where diversity is celebrated. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Employment is contingent upon successful completion of a background check.


This job application process may use AI-powered tools to assist in screening and evaluating applications based on objective, job-related qualifications. AI is used solely to support the recruitment process and all final hiring decisions are made exclusively by our human recruitment team.


Applicant information will be handled in accordance with VLink's privacy policy.

Salary : $120,000 - $140,000

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