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Senior Data Engineer

Hybrid in Dallas, TX, US • Posted 2 hours ago • Updated 2 hours ago

Contract W2

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Job Details

Skills

Continuous Delivery
Apache Hadoop
Apache Hive
Data Governance
Communication
Conflict Resolution
Apache Flink
Amazon Redshift
Apache Spark
Amazon Web Services
Continuous Integration
Analytical Skill
Analytics
Apache Kafka
Big Data
Cloud Computing
Data Engineering
Data Modeling
Data Processing
Data Quality
Data Warehouse
Decision-making
DevOps
Docker
ELT
Extract
Transform
Load
Machine Learning (ML)
Google Cloud
Google Cloud Platform
SQL
Python
Scala
Streaming
Microsoft Azure

Summary

Job Title: Senior Data Engineer

Job Summary

We are seeking a highly experienced Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures. The ideal candidate will have deep expertise in data engineering, strong problem-solving skills, and experience working with large-scale distributed systems. You will play a key role in enabling data-driven decision-making across the organization.

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines
Build and optimize data architectures, data lakes, and data warehouses
Ensure data quality, integrity, and reliability across systems
Work with cross-functional teams including Data Scientists, Analysts, and Product teams
Optimize performance of large-scale data processing systems
Implement real-time and batch data processing solutions
Develop and enforce data governance and security policies
Mentor junior and mid-level data engineers
Stay updated with latest data engineering tools and technologies

Required Skills & Qualifications

12+ years of experience in Data Engineering / Big Data
Strong expertise in SQL and Python/Scala/Java
Hands-on experience with Big Data technologies (e.g., Hadoop, Spark, Hive)
Experience with ETL tools and data pipeline frameworks
Strong knowledge of data warehousing concepts (Snowflake, Redshift, BigQuery, etc.)
Experience with cloud platforms (AWS / Azure / Google Cloud Platform)
Proficiency in data modeling techniques
Experience with workflow orchestration tools (Airflow, Luigi, etc.)
Understanding of streaming technologies (Kafka, Flink, etc.)
Strong problem-solving and analytical skills

Preferred Qualifications

Experience with DevOps practices and CI/CD pipelines
Knowledge of containerization (Docker, Kubernetes)
Experience in real-time analytics and data streaming
Exposure to machine learning data pipelines
Certification in cloud platforms (AWS/Azure/Google Cloud Platform)

Soft Skills

Strong communication and leadership skills
Ability to work in a fast-paced, collaborative environment
Strategic thinking and decision-making ability
Mentoring and team leadership experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10477291
Position Id: 8953722
Posted 2 hours ago

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