Mid Data Engineer Job at Enroute (Dinastía, Nuevo León)

Mid-Level Data Engineer

Randstad has partnered with a software solutions company, building innovative an...

Location

Malaysia , Kuala Lumpur

Salary:

15000.00 - 20000.00 MYR / Month

Randstad

Expiration Date

August 17, 2026

Requirements

4+ years of professional experience in a data engineering role
Strong proficiency in Python (writing clean, modular code, handling APIs, and manipulating data)
Advanced SQL skills (writing complex queries, window functions, and optimizing performance)
Hands-on experience building, scheduling, and troubleshooting DAGs in Apache Airflow
Production experience working with a modern Cloud Data Warehouse (such as Snowflake, Google BigQuery, or AWS Redshift)
Familiarity with version control (Git) and standard CI/CD practices

Job Responsibility

Pipeline Development: Design, build, and maintain scalable, automated ETL/ELT data pipelines using Python and Apache Airflow
Data Warehousing: Manage and optimize data structures within our Cloud Data Warehouse (e.g., Snowflake, BigQuery, or Redshift) for maximum performance and cost efficiency
Data Quality: Implement automated testing, validation checks, and monitoring to ensure data accuracy and pipeline reliability
Collaboration: Partner closely with Data Analysts, Data Scientists, and product teams to understand their data needs and deliver clean, well-structured schemas
Code Quality: Write clean, documented, and production-grade code, participating actively in team code reviews

What we offer

Good Benefits
Career Growth Opportunities
Open Communication Culture
Good Incentives

Fulltime

Data Engineer Mid-Level

As a Data Engineer, you are passionate about experience innovation and eager to ...

Location

Argentina

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Solid experience working as a Data Engineer, Analytics Engineer, or similar role
Advanced proficiency in SQL
Experience building and maintaining data pipelines and transformations
Understanding of data modeling concepts
Experience working with stakeholders to define data requirements
Strong communication skills, including the ability to present data to non-technical audiences

Job Responsibility

Design, build, and maintain reliable and scalable data pipelines, primarily leveraging SQL
Develop and optimize complex queries to support analytics and reporting needs
Ensure data accuracy, consistency, and quality across multiple data sources
Partner with stakeholders to translate business questions into data solutions
Support experimentation frameworks, including A/B testing and data validation
Work with analytics teams to deliver datasets used in dashboards and reporting tools (e.g., Metabase or similar)
Communicate insights effectively through data storytelling, tailoring messages for non-technical audiences
Collaborate with cross-functional teams in a client-facing consulting environment
Contribute to best practices in data modeling, documentation, and governance

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Data Engineer Mid-Level

As a Data Engineer, you are passionate about experience innovation and eager to ...

Location

Colombia

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Solid experience working as a Data Engineer, Analytics Engineer, or similar role
Advanced proficiency in SQL
Experience building and maintaining data pipelines and transformations
Understanding of data modeling concepts
Experience working with stakeholders to define data requirements
Strong communication skills, including the ability to present data to non-technical audiences
Upper-intermediate English skills

Job Responsibility

Design, build, and maintain reliable and scalable data pipelines, primarily leveraging SQL
Develop and optimize complex queries to support analytics and reporting needs
Ensure data accuracy, consistency, and quality across multiple data sources
Partner with stakeholders to translate business questions into data solutions
Support experimentation frameworks, including A/B testing and data validation
Work with analytics teams to deliver datasets used in dashboards and reporting tools (e.g., Metabase or similar)
Communicate insights effectively through data storytelling, tailoring messages for non-technical audiences
Collaborate with cross-functional teams in a client-facing consulting environment
Contribute to best practices in data modeling, documentation, and governance

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Mid-level Data Engineer

The Mid-level Data Engineer role at NTT DATA involves developing and managing da...

Location

India , bengaluru

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong Databricks experience with hands-on Python scripting
Good working knowledge of Azure Data Factory
Solid understanding of Azure cloud fundamentals
Strong communication skills

Data Security Engineer, Mid

Architect, deploy, and configure data security solutions across various clients ...

Location

United States , Fort Meade

Salary:

69400.00 - 158000.00 USD / Year

Booz Allen Hamilton

Expiration Date

Until further notice

Requirements

Experience in a professional work environment
Knowledge of Data Loss Prevention concepts and capabilities
Knowledge of Data Protection and Data Security concepts
Knowledge of policy creation, deployment and troubleshooting
Knowledge of container services such as Kubernetes
Knowledge of documenting and diagraming technical architectures
Ability to demonstrate a desire to learn new capabilities across the data protection market
Secret clearance
HS diploma or GED

Job Responsibility

Architect, deploy, and configure data security solutions across various clients for DoD, IC, and civilian federal clients
Create new architectures to meet client requirements adhering to Zero Trust best practices and IC data header guidelines
Interface with key stakeholders, including agency personnel and internal delivery and engineering teams
Assist in building custom policy to ensure positive control of data across hybrid cloud environments

What we offer

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Systems Engineer Mid Level-Enterprise Data Enablement

ITC is a Woman Owned Small Business delivering exceptional consultation to the U...

Location

United States , Fort Meade

Salary:

120000.00 - 150000.00 USD / Year

Integrity Technology Consultants

Expiration Date

Until further notice

Requirements

TS/SCI with FS Polygraph
A Bachelor's degree in a Qualified Engineering Field (See Note 1) or a related discipline (See Note 2) from an accredited college or university plus ten (10) years of systems engineering experience or A High School Diploma or GED plus fourteen (14) years of general system engineering experience. or A Master's degree in a Qualified Engineering Field (See Note 1) or a related discipline (See Note 2) from an accredited college or university plus eight (8) years of systems engineering experience. or A PhD in a Qualified Engineering Field (See Note 1) or a related discipline (See Note 2) from an accredited college or university, plus eight (8) years of engineering experience.
SIGINT experience
Ability to use Microsoft Office suite
Ability to work collaboratively in small teams with staff and local SMEs that may include people with non-technical backgrounds
Ability to produce, singularly, and in small groups, engineering documents related to data – including but not limited to its structure and format
Willingness and ability to frame complex problems into a range of course of actions for the purpose of providing recommended actions to the USG

Job Responsibility

Support activities that optimize the customer’s data availability and utilization to drive mission success
Promote cross-program coordination and technical collaboration to reduce integration risk
A willingness to learn and understand how data moves within the customer organization, and how systems communicate to leverage data’s full potential
A desire to apply technical skills to shape the future of data architecture, internally and externally
An interest in focusing on enabling data interoperability across the customer organization and its partners
Possess an instinctive aptitude to leverage information and knowledge sharing networks and navigate conflict in a way that fosters constructive outcomes
Produce system engineering and technical documentation, develop schedules, and support validation and verification activities
Generate reports that summarize analysis of data representations and data to provide data-driven insights to customers

What we offer

401K plan with company contributions (safe harbor and profit sharing)
11 Federal holidays, 21 Days PTO
Medical, Dental, & Vision with substantial company contributions
Company provided Life, LTD and STD Insurance
Health Savings Accounts/ Flexible Spending Accounts
Referral Bonuses
Performance Bonuses
Tuition Assistance for Education, Training, and Professional certifications
Career Development

Fulltime

Lead Data Engineer – AI & Foundation Models

Our Purpose Mastercard powers economies and empowers people in 200+ countries a...

Location

Ireland , Dublin 18

Salary:

Not provided

Mastercard

Expiration Date

October 10, 2026

Requirements

Strong experience designing and building production‑grade data pipelines in large‑scale environments
Deep expertise with distributed data processing frameworks (e.g. Spark or equivalent) and SQL‑based analytics
Experience working with cloud data platforms and storage technologies (AWS, Azure, or GCP)
Solid understanding of data modeling, performance tuning, and cost‑efficient data architecture
Experience supporting machine learning and AI workloads, including training datasets, feature engineering, and inference data flows
Familiarity with data governance concepts, including lineage, data quality, access control, and auditability
Strong software engineering fundamentals, including version control, testing, CI/CD, and code quality standards
Ability to translate AI and product requirements into practical, scalable data solutions
Experience leading technical delivery and mentoring engineers, without formal line‑management responsibility
Clear, concise communicator able to collaborate effectively with engineers, data scientists, product managers, and stakeholders

Job Responsibility

Lead the design and implementation of scalable data pipelines supporting AI model training, inference, and experimentation
Own data ingestion, transformation, and aggregation patterns across batch and streaming workloads
Partner with AI engineers to enable feature engineering, feature stores, and training datasets aligned to model requirements
Ensure data pipelines meet enterprise standards for quality, availability, lineage, and governance
Drive best practices for data modeling, schema management, partitioning, and performance optimization
Implement robust data quality checks, validation, and monitoring to ensure trust in downstream AI systems
Collaborate with platform and infrastructure teams to build pipelines on cloud‑native and distributed data processing platforms
Support secure data access patterns, including environment isolation, access controls, and auditability
Lead code reviews and design reviews for data engineering deliverables across the program
Mentor and guide senior and mid‑level data engineers, providing technical direction and delivery oversight

Fulltime

Systems Engineer Mid Level

ITC is a Woman Owned Small Business delivering exceptional consultation to the U...

Location

United States , Linthicum

Salary:

120000.00 - 170000.00 USD / Year

Integrity Technology Consultants

Expiration Date

Until further notice

Requirements

TS/SCI with Fullscope Polygraph within the last 5 years
Bachelor's degree or advanced degree in computer science, information systems, engineering or other related discipline plus at least 10 years of systems engineering experience. A Master's degree or PhD may be substituted for two years of experience. A high school diploma or GED plus 14 years of systems engineering experience would also be acceptable
Network engineering knowledge/experience

Job Responsibility

Evaluate existing IT related security data
Document data types currently being monitored
Document gaps in security data
Develop and apply best practices to discover and assess semantic and syntactic information contained in data structures and data objects
Develop measures of syntactic and semantic interoperability that support governing bodies making architectural and implementation decisions
Prototype and consider several algorithms and decide upon final model based on established outcomes
Generate reports that summarize analysis of data representations and data to provide data-driven insights to customers

What we offer

401K plan with company contributions (safe harbor and profit sharing)
11 Federal holidays, 21 Days PTO
Medical, Dental, & Vision with substantial company contributions
Company provided Life, LTD and STD Insurance
Health Savings Accounts/ Flexible Spending Accounts
Referral Bonuses
Performance Bonuses
Tuition Assistance for Education, Training, and Professional certifications
Career Development

Fulltime

Select Country

Mid Data Engineer

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?