Sr. Data Engineer

  • Dallas, TX
  • Posted 16 hours ago | Updated 4 hours ago

Overview

On Site
USD 62.70 - 72.60 per hour
Contract - Independent
Contract - W2

Skills

SAP BASIS
Decision-making
Apache Airflow
Real-time
Streaming
Data Storage
Scalability
Data Governance
Workflow
Apache Parquet
Apache Avro
Accessibility
Mentorship
Collaboration
Computer Science
Management
Apache Kafka
Apache NiFi
Databricks
Apache Spark
Apache Hadoop
Apache Flink
Amazon S3
Programming Languages
Python
Scala
Java
Data Processing
NoSQL
Database
Kubernetes
Data Engineering
Cloud Computing
Data Modeling
Quality Assurance
Conflict Resolution
Problem Solving
Analytical Skill
Communication
Finance
Accounting
Marketing
Legal
Customer Support
Online Training
Artificial Intelligence
Insurance
.NET

Job Details

Description

We are looking for a highly skilled Senior Data Engineer to join our team on a long-term contract basis. In this role, you will design and implement robust data pipelines and architectures to support data-driven decision-making across the organization. You will work closely with cross-functional teams to deliver scalable, secure, and high-performance data solutions using cutting-edge tools and technologies. This position is based in Dallas, Texas.

Responsibilities:
Develop and maintain scalable data pipelines using tools like Apache Airflow, NiFi, and Databricks to streamline data ingestion and transformation.
Implement and manage real-time data streaming solutions utilizing Apache Kafka and Flink.
Optimize and oversee data storage systems with technologies such as Hadoop and Amazon S3 to ensure efficiency and scalability.
Establish and enforce data governance, quality, and security protocols through best practices and monitoring systems.
Manage complex workflows and processes across hybrid and multi-cloud environments.
Work with diverse data formats, including Parquet and Avro, to enhance data accessibility and integration.
Troubleshoot and fine-tune distributed data systems to maximize performance and reliability.
Mentor and guide engineers at the beginning of their careers to promote a culture of collaboration and technical excellence.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related discipline.
At least 7 years of experience in data engineering, with a strong background in designing and managing data pipelines.
Proficiency in tools such as Apache Kafka, Airflow, NiFi, Databricks, Spark, Hadoop, Flink, and Amazon S3.
Expertise in programming languages like Python, Scala, or Java for data processing and automation.
Strong knowledge of both relational and NoSQL databases.
Experience with Kubernetes-based data engineering and hybrid cloud environments.
Familiarity with data modeling principles, governance frameworks, and quality assurance processes.
Excellent problem-solving, analytical, and communication skills.

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