Specialist - Architecture

LTM; Irving (TX); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Comprehensive Medical Plan

401(k) Plan with Company match

Paid Maternity and Paternity Leave

Vacation Time

Job summary

LTM is seeking an experienced Data Engineer in Irving, Texas. The role involves designing and building scalable data platforms for real-time applications using Apache Flink, Iceberg, and Starburst. Candidates should have strong SQL and programming skills along with extensive experience in data engineering.

Benefits include comprehensive medical coverage, 401(k) with company match, and paid leave. The compensation range is dependent on skills and experience, ensuring competitive pay across US locations.

Qualifications

• 7 years in data engineering and large-scale data platforms.
• Strong hands-on experience with Flink, Iceberg and Trino.
• Proficiency in Python, Scala or Java and strong SQL skills.

Responsibilities

• Build and operate real time streaming pipelines using Apache Flink.
• Design and manage Lakehouse architectures with Apache Iceberg.
• Enable federated analytics using Starburst Trino.

Skills

Data engineering

Flink

Python

SQL

Cloud services

Tools

AWS

Kafka

Docker

Kubernetes

Job description

Overview

Job Title: Data engineer (Python,Flink and Starburst)
Work Location: Irving, Texas

Senior Data Engineer to design and build scalable high performance data platforms for realtime and analytical workloads. The role focuses on streaming Lakehouse and federated query architectures using Apache Flink, Apache Iceberg, and Starburst Trino in a cloud environment.

Key Responsibilities

• Build and operate real time streaming pipelines using Apache Flink
• Design and manage Lakehouse architectures with Apache Iceberg
• Enable federated analytics using Starburst Trino
• Develop and optimize ETL pipelines using Python, Scala, Java
• Integrate data platforms with AWS, Azure, GCP services
• Tune performance across pipelines, tables and queries
• Ensure data quality governance, monitoring and reliability
• Contribute to platform architecture and mentor junior engineers

Required Qualifications

• 7 years in data engineering and large-scale data platforms
• Strong hands-on experience with Flink, Iceberg and Trino
• Proficiency in Python, Scala or Java and strong SQL skills
• Experience with cloud data services and distributed systems
• Knowledge of Kafka, Docker, Kubernetes and data warehousing concepts

Preferred

• Cloud certifications
• Exposure to Delta Lake, Hudi and Airflow
• Financial services experience

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Paid Paternity and Maternity Leave
• Vacation Time, Sick Leave, Paid Holidays

Compensation Details

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Other details

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law.