Job Overview

We are seeking an experienced Data Engineer to join our team for a 6+ month contract opportunity in Plano, Texas or San Antonio, Texas. This position is ideal for a data engineering professional with strong hands-on experience in Java, Snowflake, IBM DataStage, and Python.

The selected candidate will be responsible for designing, developing, maintaining, and optimizing data pipelines and enterprise data solutions. The ideal candidate should be comfortable working with large-scale data environments, ETL processes, cloud data platforms, and modern data integration technologies.

Local candidates only. W2 only.

Position Details

Job Title: Data Engineer
Locations: Plano, TX / San Antonio, TX
Job Type: Contract
Duration: 6+ Months
Employment: W2 Only
Candidate Requirement: Local Candidates Only
Interview Process: 2 Rounds
Primary Skills: Java, Snowflake, IBM DataStage, Python
Preferred Skill: Kafka

Key Responsibilities

• Design, develop, test, and maintain scalable data engineering solutions.
• Develop and maintain enterprise data pipelines using Java, Python, Snowflake, and IBM DataStage.
• Build reliable ETL/ELT workflows to support business and analytical requirements.
• Develop data integration processes using IBM DataStage.
• Work with Snowflake to design, load, transform, and optimize large datasets.
• Develop Python-based scripts and applications for data processing, automation, and pipeline development.
• Use Java to develop supporting data-processing applications and enterprise solutions.
• Perform data extraction, transformation, validation, and loading across multiple systems.
• Troubleshoot data pipeline failures and investigate data quality or integration issues.
• Optimize data processing workflows for performance, scalability, and reliability.
• Work with source and target systems to understand data structures, mappings, and transformation requirements.
• Implement data validation and quality checks throughout data pipelines.
• Collaborate with data architects, software engineers, analysts, QA teams, and business stakeholders.
• Participate in requirements analysis, technical design, development, testing, and deployment.
• Create and maintain technical documentation for data pipelines, ETL processes, mappings, and integrations.
• Support production data pipelines and resolve issues within required timelines.
• Follow established coding, security, data governance, and development standards.

Required Technical Skills

Java

• Strong hands-on experience with Java.
• Experience developing enterprise applications or data-processing solutions using Java.
• Strong understanding of object-oriented programming and application development principles.
• Ability to troubleshoot and optimize Java-based applications.

Snowflake

• Strong experience working with Snowflake.
• Experience developing data solutions and pipelines using Snowflake.
• Strong SQL skills and understanding of data warehousing concepts.
• Experience with data loading, transformation, and optimization.
• Understanding of cloud-based data warehouse architecture.

IBM DataStage

• Hands-on experience with IBM DataStage.
• Experience developing and maintaining ETL jobs and data integration workflows.
• Ability to create data mappings, transformations, and validation processes.
• Experience troubleshooting DataStage jobs and resolving data integration issues.
• Understanding of enterprise ETL and data warehouse environments.

Python

• Strong Python development experience.
• Experience using Python for data processing, automation, scripting, and pipeline development.
• Ability to develop reusable and maintainable Python solutions.
• Experience troubleshooting Python-based data applications.

Kafka – Plus

Experience with Apache Kafka is a strong plus.

Candidates with Kafka experience should have an understanding of:

• Event-driven data processing
• Real-time data pipelines
• Producers and consumers
• Streaming data architectures
• Data integration using Kafka

Kafka experience is not the primary requirement but will be beneficial.

Data Engineering & ETL

The ideal candidate should understand modern data engineering practices, including:

• ETL/ELT development
• Data pipeline architecture
• Data transformation
• Data warehousing
• Data integration
• Data quality
• Data validation
• Batch processing
• Performance optimization
• Production support

Experience working with large-scale enterprise data environments will be highly valuable.

Required Qualifications

• Strong professional experience as a Data Engineer.
• Hands-on experience with Java.
• Strong experience with Snowflake.
• Hands-on experience with IBM DataStage.
• Strong Python development experience.
• Strong SQL and data warehouse knowledge.
• Experience developing and supporting enterprise data pipelines.
• Strong troubleshooting and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work onsite in Plano, TX or San Antonio, TX.
• Must meet the local candidate requirement.
• Must be available for W2 employment.

Interview Process

The selection process will consist of 2 interview rounds.

Candidates should be prepared to discuss their experience with:

• Java
• Snowflake
• IBM DataStage
• Python
• ETL/data pipelines
• SQL
• Enterprise data engineering

Location & Work Arrangement

This position is available in:

Plano, TX
or
San Antonio, TX

Local candidates only.

Candidates should indicate their current location when submitting their resume.

Employment Requirement

W2 only.

This opportunity is not available for C2C engagement.

Duration

The initial contract duration is 6+ months, with the potential for continuation based on project requirements and performance.

Ideal Candidate

The ideal candidate is a hands-on Data Engineer who combines strong programming skills with enterprise ETL and cloud data platform experience.

You should have strong practical knowledge of Java, Snowflake, IBM DataStage, and Python, and be capable of developing reliable data pipelines, troubleshooting production issues, and working with multiple technical teams.

Experience with Kafka and real-time data processing will provide an additional advantage.

How to Apply

Qualified local candidates with strong Java, Snowflake, IBM DataStage, and Python experience are encouraged to submit their updated resume.

📩 Send Resume:
sivaa@techrakers.com

Please include your current location, relevant Data Engineering experience, W2 availability, and experience with the four primary technologies when submitting your profile.

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