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Senior Data Engineer

Hybrid in Colorado City, TX, US • Posted 2 days ago • Updated 2 days ago

Contract W2

No Travel Required

Hybrid

$60 - $70/hr

Fitment

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Job Details

Skills

Apache Flink
Amazon Redshift
Amazon Web Services
Analytical Skill
Apache Hadoop
Analytics
Apache Hive
Apache Kafka
Apache Spark
Big Data
Cloud Computing
Decision-making
DevOps
Data Modeling
Data Processing
Data Warehouse
Docker
Continuous Integration
Data Engineering
Data Governance
Extract, Transform, Load
Communication
Python
Real-time
Scala
Machine Learning (ML)
Microsoft Azure
Orchestration
Problem Solving
Good Clinical Practice
Google Cloud Platform
Kubernetes
Conflict Resolution
Continuous Delivery
Streaming
Team Leadership
Data Quality
Leadership
SQL
Snow Flake Schema
ELT
Workflow

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: 8949887
Posted 2 days ago

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