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Python Data Engineer

LTM · Location, WV

Spotted 3h agoFull-time

Job details

Employment
Full-time
Posted
Oct 22, 2026
Last confirmed open
Oct 23, 2026
Job description

About this role

Role Description Job Summary

Seeking a skilled Python Data Engineer with expertise in ETL pipeline design AWS data services and data quality engineering to support scalable data solutions

Job Description Strong proficiency in Python data engineering using pandas and numpy Design and implementation of ETLdata pipelines that are schemadriven and configurationdriven Data modeling for hierarchical and dimensional data structures Experience with AWS data services including S3 IAM DynamoDB and SSM Expertise in data validation and dataquality engineering Proficient in SQL and working with DatabricksJDBC feeds Knowledge of columnar and analytics file formats such as Parquet and CSV pragmatics Handling and processing of timeseries data Implementing testing and ensuring reproducibility for data code Familiarity with Git GitHub Actions and Terraform for version control and infrastructure as code Integration experience with SageMaker and Chronos endpoints at the interface level Ensuring secure data handling practices throughout the data lifecycle

Roles and Responsibilities

Develop maintain and optimize ETL pipelines and data workflows following schema and configurationdriven approaches

Build and maintain data models for hierarchical and dimensional datasets to support analytics and reporting

Manage and utilize AWS data services to store secure and process large datasets

Perform rigorous data validation and quality checks to ensure data integrity

Collaborate with crossfunctional teams to integrate SQL queries and DatabricksJDBC data feeds

Work with columnar data formats and optimize data storage and retrieval

Handle timeseries data processing and analysis tasks

Write unit and integration tests to guarantee reproducibility and reliability of data code

Use version control tools and automation workflows to maintain codebase and infrastructure

Support integration of machine learning endpoints such as SageMaker and Chronos

Implement and enforce secure data handling and compliance standards

Other Details Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits

And Perks

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

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.

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, except where such considerations are bona fide occupational qualifications permitted by law.

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