W2-Data Engineer Job Opportunities in Texas 2025 | Cliff Services Inc

Exciting career opportunities await skilled Data Engineers in Texas. Cliff Services Inc. is actively seeking professionals ready to tackle enterprise-scale data challenges. This role offers a chance to work with innovative technologies while making impactful contributions in a dynamic environment.

About the Role

The Data Engineer position focuses on enhancing data modernization initiatives using Python, Spark (PySpark), and AWS. Selected candidates will design, build, and optimize robust data pipelines that support analytics, machine learning, and reporting. This role is perfect for those eager to work with cutting-edge cloud technologies and deliver high-impact solutions.

About the Hiring Firm

Cliff Services Inc. stands out as a leading IT services and consulting firm. They specialize in crafting advanced IT solutions for various sectors, including retail, healthcare, finance, and education. Their extensive expertise allows them to deliver scalable solutions that help clients achieve their business objectives. By joining Cliff Services, you’ll be part of a team dedicated to innovation and excellence.

Key Responsibilities

As a Data Engineer, your primary duties will include:

• Designing and Maintaining Data Pipelines: Create ETL/ELT data pipelines and ingestion workflows using Python and Spark.
• Developing AWS Solutions: Leverage AWS services like S3, Glue, EMR, Redshift, Lambda, and Athena for data processing.
• Optimizing Data Models: Create and enhance data models, schemas, and partitioning strategies for data lakes and warehouses.
• Improving Pipeline Performance: Optimize Spark performance and scalability for efficient data processing.
• Collaborating with Teams: Work closely with data science, analytics, and application teams to ensure data reliability and accessibility.
• Implementing Quality Checks: Establish data quality validation, logging, and observability for production systems.
• Ensuring Compliance: Follow data governance, lineage, and security standards.
• Participating in Code Reviews: Engage in documentation and continuous improvement initiatives.

Job Requirements

To excel in this role, candidates should meet the following requirements:

• Experience: Over 7 years of hands-on experience as a Data Engineer.
• Programming Skills: Strong proficiency in Python (Pandas and PySpark included).
• Apache Spark Knowledge: Solid grasp of Spark for data transformation and large-scale processing.
• AWS Expertise: Experience with AWS services such as S3, Glue, EMR, Lambda, Redshift, and Athena.
• SQL Proficiency: Strong SQL skills, with a solid understanding of data modeling and schema design.
• Workflow Tools: Familiarity with orchestration tools like Airflow or Step Functions.
• ETL Optimization Skills: Hands-on experience in ETL optimization and pipeline monitoring.
• Understanding of Data Governance: Knowledge of best practices for enterprise data systems.
• Communication Skills: Excellent analytical and communication skills, with the ability to work cross-functionally.

Preferred Skills

While not mandatory, the following skills are advantageous:

• Familiarity with streaming frameworks such as Kafka, Kinesis, or Flink.
• Experience with data platforms like Snowflake or Redshift Spectrum.
• Knowledge of infrastructure automation tools like Terraform or CloudFormation.
• Exposure to machine learning pipelines or feature store integration.
• Experience in regulated industries, particularly finance.

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Conclusion

If you’re a Data Engineer ready to take on new challenges, consider this opportunity with Cliff Services Inc. You will be part of a team that embraces innovation and drives success through technology. Don’t miss your chance to make a significant impact in a fast-paced environment while advancing your career. Apply today!