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Kafka Developer C2C Jobs (NOW HIRING)

TechniPros, LLC

Data Engineer

Dallas, TX

$113K - $136K/yr

... No C2C * Lead the design, development, and optimization of large-scale, secure, and high ... Integrate datasets from databases, files, APIs, and event streams (Kafka/Kinesis) * Ensure data ...

Diverse Lynx

Java Developer with AI

Phoenix, AZ · On-site

$65 - $70/hr

Phoenix, AZ or Charlotte, NC, USA (3 days onsite) Pay Rate: $65-70 C2C Core Skill Requirements * 6 ... Hands-on experience with Apache Kafka for event-driven architectures. * Experience with Flink for ...

AgreeYa Solutions

ML Engineer

Plano, TX

Title- ML Engineer Location- Plano, TX- Fully Onsite From Day-1 Type- Contract- C2C Works Duration ... Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL ...

Tarbipro

Sr.Hadoop Developer

Sunnyvale, CA

Sunnyvale ,CA and Bentonville , Arkansas Duration :12 months C2C Educational document (graduation ... Kafka) Nice to Have: Development experience with Java, Scala, Flume, Python Cassandra Automic ...

Tarbipro

Sr.Hadoop Developer

Sunnyvale, CA · On-site

Sunnyvale ,CA and Bentonville , Arkansas Duration :12 months C2C Educational document (graduation ... Kafka) Nice to Have: Development experience with Java, Scala, Flume, Python Cassandra Automic ...

Winaxis

.Net Developer

Dallas, TX · On-site

$60/hr

US Citizens/Green Card Holders only Rate: $60/hr C2C --- Job Summary: - Mid-to-senior level .Net ... Kafka, RabbitMQ). --- Other Requirements: - Must have long project tenures and strong communication ...

Winaxis

SDET (Data Tester)

Jacksonville, FL · On-site

Data Tester (C2C) - Locations: Jacksonville, FL / Alpharetta, GA / Berkeley Heights, NJ (Onsite ... Kafka, Jira, Confluence, Swagger, Kibana, and AWS - Experience with programming languages such as ...

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Kafka Developer C2C information

What are the key skills and qualifications needed to thrive as a Kafka Developer in a C2C (Corp-to-Corp) engagement, and why are they important?

To thrive as a Kafka Developer C2C, you need strong expertise in distributed systems, stream processing, and a solid understanding of Apache Kafka, usually supported by a background in computer science or a related field. Familiarity with Kafka Connect, Kafka Streams, monitoring tools like Confluent Control Center, and proficiency in programming languages such as Java or Scala are typically required, along with relevant certifications like Confluent Certified Developer. Exceptional problem-solving, communication, and collaboration skills help you stand out when working with diverse client teams and complex system integrations. These skills ensure robust, scalable data pipelines and seamless delivery of real-time data solutions to meet business needs in client environments.

What are Kafka Developer C2C jobs?

Kafka Developer C2C jobs refer to contract positions for software developers specializing in Apache Kafka, a distributed event streaming platform. 'C2C' stands for 'Corp-to-Corp,' meaning the job is offered to independent contractors or consulting companies rather than individual employees. Kafka Developers are responsible for designing, developing, and maintaining data pipelines and streaming solutions using Kafka. These roles often require experience with Java or Scala, understanding of distributed systems, and the ability to optimize data flow between systems. C2C contracts are popular in the tech industry for short- or long-term project work.

What are some common challenges Kafka Developers face when implementing real-time data pipelines, and how can they be addressed?

Kafka Developers often encounter challenges such as ensuring data consistency, handling high-throughput scenarios, and managing message schema evolution in real-time data pipelines. To address these, it's important to design robust error handling and retry mechanisms, monitor system metrics proactively, and use schema management tools like Confluent Schema Registry. Collaboration with data engineers, DevOps, and QA teams is also crucial to ensure smooth integration and reliable performance in production environments.

What is the difference between Kafka Developer C2C vs Kafka Engineer?

AspectKafka Developer C2CKafka Engineer
Required CredentialsProficiency in Kafka, Java/Scala, and cloud platformsSame as Kafka Developer C2C, often with additional certifications
Work EnvironmentContract-based, client-specific projects, remote or onsiteFull-time or contract, often in enterprise settings
Employer & Industry UsageConsulting firms, tech companies, financial servicesLarge corporations, data-driven industries
Search & Comparison IntentYes, often compared for project-based rolesYes, similar roles but with different employment terms

The main difference between Kafka Developer C2C and Kafka Engineer lies in employment type and scope. Kafka Developer C2C typically refers to contract roles working on specific projects, while Kafka Engineer may be a full-time position within an organization. Both roles require similar skills and certifications, but their work environment and employment terms differ.

Data Engineer

Data Engineer

TechniPros, LLC

Dallas, TX

$113K - $136K/yr

Other

Posted 8 days ago

Job description

Job Title: Data Engineer
Location: Dallas, TX, Oklahoma City, Ok, Little Rock, AK, Shreveport, LI, Albuquerque, NM
Looking for W2 No C2C


Job Description:

  • Lead the design, development, and optimization of large-scale, secure, and high-performance data pipelines across batch, real-time, and event-driven systems.
  • Partner with cross-functional teams to deliver analytics, reporting, and ML-ready datasets.


Key Responsibilities:

  • Architect, build, and optimize batch and real-time data pipelines for enterprise-scale systems
  • Integrate datasets from databases, files, APIs, and event streams (Kafka/Kinesis)
  • Ensure data quality, scalability, reliability, and performance across pipelines
  • Prepare curated datasets for analytics, reporting, and ML models
  • Implement data security (access control, encryption, masking) and governance practices
  • Monitor, troubleshoot, and tune data infrastructure for optimal efficiency
  • Collaborate closely with data scientists, architects, and business teams to define data solutions
  • Introduce best practices, mentor engineers, and drive data engineering standards


Mandatory Skills (with Experience):

  • Data Engineering (Overall): 8 12 years
  • Python / Java / Spark: 6 10 years (strong coding)
  • SQL & NoSQL Databases: 6 10 years (RDS, Redshift, DynamoDB, Synapse, BigQuery, MongoDB)
  • Batch & Streaming Systems: 5 8 years (Kafka/Kinesis/event-driven systems)
  • Cloud Experience: 5 8 years across AWS, Azure, Google Cloud Platform (minimum two clouds)
  • APIs & Messaging Systems: 4 6 years (REST, event-driven architectures)
  • Large-scale Dataset Engineering: 5 8 years (performance optimization)
  • Graph Databases: 1 2 years (Neptune, RDF4j)
  • Vector Databases: 1 2 years (Pinecone, FAISS)
  • Data Security: 3 5 years (encryption, access control, masking)

Soft Skills:

  • Strong problem-solving & analytical thinking
  • Excellent communication across technical & business teams
  • High ownership, adaptability, and collaborative mindset

Nice to Have:

  • Domain knowledge: Insurance, Banking, Mortgage
  • Containers & CI/CD: Docker, Kubernetes
  • Streaming tools: Kafka, Kinesis (advanced usage)
  • Exposure to NLP and data segmentation
  • Experience with data visualization tools

Best Regards:

Tanuja P
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