Sr. Data Engineer
Dallas, Georgia, United States of America
Contract
1 week ago
$52 USD
Key skills
PythonJavaGoScalaSQLNoSQLAIData EngineeringAnalyticsDatabricksSparkKafkaAirflowHadoopKubernetesS3Communication
About this role
Description
We are looking for an accomplished Sr. Data Engineer to join a team building resilient, scalable data platforms in Dallas, Texas. This role focuses on creating efficient batch and streaming solutions across modern cloud and distributed data environments while partnering closely with analytics, data science, and infrastructure teams. This is a Long-term Contract position offering the opportunity to shape reliable data foundations that support critical business insights and operational decisions.
Responsibilities:
Build and enhance robust data pipelines that support ingestion, transformation, and delivery using platforms such as Airflow, NiFi, Databricks, and Spark.
Create streaming and event-driven data solutions with Kafka and Flink to enable timely processing of high-volume data flows.
Architect and refine storage patterns across Hadoop and Amazon S3 with attention to scalability, performance, and cost control.
Establish monitoring, validation, and governance practices that strengthen data quality, security, and operational reliability.
Coordinate complex workflow orchestration across hybrid and multi-cloud environments, including enterprise data processing operations where needed.
Work with structured and semi-structured file types such as Parquet and Avro to improve usability and interoperability across systems.
Diagnose bottlenecks in distributed processing environments and implement improvements that increase efficiency and stability.
Provide technical guidance to less experienced engineers and contribute to a strong engineering culture centered on quality and continuous improvement.
Requirements
Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
At least 7 years of experience in data engineering with a strong record of designing and supporting production data pipelines.
Advanced hands-on knowledge of Kafka, Airflow, NiFi, Databricks, Spark, Hadoop, Flink, and Amazon S3.
Proficiency in Python plus working ability in Scala or Java for automation, transformation, and data processing tasks.
Solid SQL skills and experience working with both relational and NoSQL database technologies.
Background supporting data engineering solutions in on-premises and Kubernetes-based environments.
Understanding of data modeling, governance practices, and data quality controls.
Strong analytical, troubleshooting, and communication skills; experience in hybrid or multi-cloud settings is preferred.
Technology Doesn't Change the World, People Do.
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use and Privacy Notice.
We are looking for an accomplished Sr. Data Engineer to join a team building resilient, scalable data platforms in Dallas, Texas. This role focuses on creating efficient batch and streaming solutions across modern cloud and distributed data environments while partnering closely with analytics, data science, and infrastructure teams. This is a Long-term Contract position offering the opportunity to shape reliable data foundations that support critical business insights and operational decisions.
Responsibilities:
Build and enhance robust data pipelines that support ingestion, transformation, and delivery using platforms such as Airflow, NiFi, Databricks, and Spark.
Create streaming and event-driven data solutions with Kafka and Flink to enable timely processing of high-volume data flows.
Architect and refine storage patterns across Hadoop and Amazon S3 with attention to scalability, performance, and cost control.
Establish monitoring, validation, and governance practices that strengthen data quality, security, and operational reliability.
Coordinate complex workflow orchestration across hybrid and multi-cloud environments, including enterprise data processing operations where needed.
Work with structured and semi-structured file types such as Parquet and Avro to improve usability and interoperability across systems.
Diagnose bottlenecks in distributed processing environments and implement improvements that increase efficiency and stability.
Provide technical guidance to less experienced engineers and contribute to a strong engineering culture centered on quality and continuous improvement.
Requirements
Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
At least 7 years of experience in data engineering with a strong record of designing and supporting production data pipelines.
Advanced hands-on knowledge of Kafka, Airflow, NiFi, Databricks, Spark, Hadoop, Flink, and Amazon S3.
Proficiency in Python plus working ability in Scala or Java for automation, transformation, and data processing tasks.
Solid SQL skills and experience working with both relational and NoSQL database technologies.
Background supporting data engineering solutions in on-premises and Kubernetes-based environments.
Understanding of data modeling, governance practices, and data quality controls.
Strong analytical, troubleshooting, and communication skills; experience in hybrid or multi-cloud settings is preferred.
Technology Doesn't Change the World, People Do.
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use and Privacy Notice.