Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Data Engineer

Job

Raas Infotek LLC

Texas City, TX (In Person)

Full-Time

Posted 1 week ago (Updated 5 days ago) • Actively hiring

Expires 6/30/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
86
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

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