Hiring Now: Data Engineer (Onsite – Dallas, TX)
Job Summary
Data Engineer Onsite Dallas TX We are looking for a highly skilled and motivated Data Engineer to join our growing data and analytics team in Dallas, TX. This role is perfect for professionals who are passionate about building scalable big data solutions, designing efficient data pipelines, and enabling advanced data analytics and machine learning capabilities Microsoft Azure Data Engineering: https://learn.microsoft.com/en-us/azure/architecture/data-guide/
Data Engineer Onsite Dallas TX As a Data Engineer, you will play a critical role in transforming raw data into actionable insights by developing robust data architectures and optimizing large-scale data processing systems. You will work closely with data scientists, analysts, and business stakeholders to deliver high-impact solutions that drive data-driven decision-making Data Engineer Onsite Dallas TX
Data Engineer Onsite Dallas TX
📍 Location: Dallas, Texas (Onsite Opportunity)
💼 Employment Type: Contract
🛠 Core Technologies: Apache Spark, Python, Java, Hadoop, SQL, Scala, Big Data, Advanced Analytics
This is an excellent opportunity to work on enterprise-level data platforms, cutting-edge technologies, and high-performance distributed systems in a fast-paced and collaborative environment.
Key Responsibilities
- Design, build, and maintain scalable data pipelines for both batch and real-time data processing
- Develop and optimize big data architectures using Apache Spark and Hadoop ecosystem
- Implement efficient ETL/ELT workflows to process structured, semi-structured, and unstructured data
- Collaborate with data scientists and analytics teams to support machine learning models and advanced analytics use cases
- Ensure high data quality, consistency, and integrity across all data platforms
- Optimize performance and scalability of large-scale data processing systems
- Work with cross-functional teams to gather requirements and deliver data-driven solutions
- Build and maintain data lakes and data warehouses
- Monitor and troubleshoot data pipelines to ensure reliability and performance
- Implement data governance, security, and compliance best practices
Required Skills & Technical Expertise
To succeed in this role, candidates should have strong expertise in modern data engineering tools and technologies, along with a solid foundation in programming and distributed systems Data Engineer Onsite Dallas TX
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Core Technical Skills:
- Hands-on experience with Apache Spark (Spark SQL, Spark Streaming, MLlib)
- Strong knowledge of Hadoop ecosystem (HDFS, Hive, MapReduce, Yarn)
- Proficiency in programming languages such as Python, Java, and Scala
- Advanced SQL skills for data querying, transformation, and optimization
- Experience with ETL tools and data pipeline frameworks
- Solid understanding of data modeling, data warehousing, and schema design
- Familiarity with advanced analytics tools such as Anaconda, Jupyter, and Spark ML
Additional Skills: Data Engineer Onsite Dallas TX
- Experience with cloud platforms (AWS, Microsoft Azure, Google Cloud Platform)
- Knowledge of data lake architectures and modern data stack
- Understanding of distributed computing and parallel processing
- Experience with real-time data streaming tools (Apache Kafka, Spark Streaming)
- Strong debugging and performance tuning skills
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Preferred Qualifications
- Experience working in Agile/Scrum environments
- Knowledge of DevOps practices and CI/CD pipelines for data engineering
- Familiarity with containerization tools like Docker and Kubernetes
- Exposure to AI/ML pipelines and predictive analytics systems
- Certifications in AWS, Azure, or Big Data technologies are a plus
Role Expectations
As a Data Engineer, you will be expected to take ownership of data infrastructure and contribute to building a reliable and scalable data ecosystem. You should be comfortable working with large datasets and solving complex data challenges.
You will also be expected to:
- Demonstrate strong problem-solving and analytical thinking
- Communicate effectively with both technical and non-technical stakeholders
- Continuously learn and adapt to new tools and technologies
- Show intellectual curiosity and willingness to explore innovative solutions
- Work independently as well as collaboratively in a team environment
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Career Growth & Opportunities
Joining our team as a Data Engineer opens doors to exciting career growth opportunities in the ever-evolving data and analytics domain. You will gain hands-on experience with Data Engineer Onsite Dallas TX
- Large-scale distributed data systems
- Modern cloud-based data platforms
- Advanced machine learning pipelines
- Enterprise-level data architecture design
This role provides a clear path toward advanced positions such as:
- Senior Data Engineer
- Data Architect
- Big Data Engineer
- Machine Learning Engineer
- Cloud Data Engineer
Google Cloud Data Engineering: https://cloud.google.com/solutions/data-analytics
Why Join Us?
- Work on cutting-edge big data and analytics projects
- Collaborate with experienced data engineers and data scientists
- Exposure to enterprise-grade data platforms and cloud technologies
- Opportunity to solve real-world data challenges at scale
- Competitive compensation aligned with high-demand tech skills
- Continuous learning and career development opportunities
Work Environment
We foster a collaborative and inclusive work culture where innovation, creativity, and continuous improvement are encouraged. You will be part of a dynamic team that values:
- Knowledge sharing and mentorship
- Open communication and transparency
- Technical excellence and innovation
- Diversity and inclusion
📩 Application Process
If you are passionate about building scalable data systems and want to work on cutting-edge technologies, we encourage you to apply.
📧 Submit your updated resume to: vijayalaxmi.a@eraytec.com
Final Note
This is a fantastic opportunity for professionals looking to advance their career in Data Engineering, Big Data, and Cloud Analytics. If you have strong expertise in Spark, Hadoop, Python, and data pipelines, and want to work on high-impact projects, this role is for you.
