Sr. Data Engineer

Role : Sr. Data Engineer

Location : Dallas, TX 75219- Hybrid

Duration : 12 Months Contract

The Position

We are seeking an experienced Data Engineer with deep expertise in modern data engineering frameworks and cloud-based ecosystems. The ideal candidate will design, build, and optimize scalable data pipelines and architectures using tools such as Kafka, Apache Airflow, Apache NiFi, Databricks, Hadoop, Apache Flink, and Amazon S3.

You'll collaborate with cross-functional teams - including data science, analytics, and infrastructure - to ensure the delivery of reliable, secure, and high-quality data solutions that power data-driven decision-making across the organization.

Responsibilities

Design, develop, and maintain scalable and reliable data pipelines using Apache Airflow, NiFi, and Databricks to automate data ingestion, transformation, and delivery.

Implement real-time data streaming and event-driven architectures leveraging Apache Kafka and Flink.

Develop and optimize data storage solutions using Hadoop and Amazon S3, ensuring high performance, cost efficiency, and scalability.

Ensure data quality, governance, and security through best practices and robust monitoring frameworks.

Manage ETL / ELT processes and orchestrate complex workflows across hybrid and multi-cloud environments.

Work with various data formats (e.g., Parquet, Avro, JSON) to optimize data accessibility and interoperability.

Troubleshoot and optimize performance across distributed data processing systems.

Mentor junior engineers and foster a culture of technical excellence and continuous learning.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.

7+ years of experience in data engineering, with strong hands-on experience in data pipeline design, development, and orchestration.

Expertise in Kafka, Airflow, NiFi, Databricks, Spark, Hadoop, Flink, and S3.

Proficiency in Python, Scala, or Java for data transformation and automation tasks.

Strong SQL skills and familiarity with relational and NoSQL data stores.

Experience with On-Prem, Kubernetes based Data Engineering

Familiarity with data modeling, data governance, and data quality frameworks.

Excellent analytical, problem-solving, and communication skills.

Experience operating in a multi-cloud or hybrid data environment preferred.