CrawlJobs Logo
Aquent Logo Aquent · IT - Software Development

AI Data Engineer

50.00 - 55.00 USD / Hour · Job Posted February 19, 2026
Apply Position
Job Link Share

Job Description

This is a remote 4 month engagement with a likelihood of extending to 12 months. Possible extension up to 18 months. Are you ready to make a significant impact at the forefront of technological innovation? Aquent is partnering with a leading global technology company dedicated to shaping the future through groundbreaking advancements. This organization is renowned for its commitment to developing robust, scalable solutions that empower millions worldwide. We are seeking a highly skilled and passionate individual to join a pivotal team responsible for building and maintaining the foundational data platforms and pipelines that drive critical insights and power next-generation AI initiatives. Your expertise will directly contribute to designing, developing, and maintaining the efficient and reliable data infrastructure that underpins the company’s strategic decisions and product evolution, truly unleashing the power of data.

Job Responsibility

  • Design, build, and maintain scalable data platforms and pipelines utilizing cutting-edge tools and technologies
  • Collaborate closely with diverse stakeholders to meticulously gather business requirements and translate them into robust technical specifications
  • Develop and implement sophisticated data models that effectively support advanced analytics and comprehensive reporting needs
  • Champion data quality and governance by implementing rigorous validation, consistency checks, and reliability measures
  • Partner with cross-functional teams, including data analysts, data scientists, and business leaders, to deliver high-quality data solutions that meet evolving demands
  • Continuously monitor and optimize data pipelines for peak performance, scalability, and cost-efficiency
  • Establish and implement comprehensive monitoring and observability metrics to proactively ensure data quality and detect anomalies within data pipelines
  • Create clear, comprehensive documentation for data processes and effectively communicate complex technical concepts to both technical and non-technical audiences

Requirements

  • A Bachelor’s degree in Computer Science, Engineering, Information Systems, or a closely related field
  • A minimum of 2 years of professional experience in data engineering with experience in Python, SQL, Kubernetes, Airflow and Scala
  • Demonstrated proficiency in data warehouse management, alongside strong experience in building and maintaining robust data pipelines and ETL processes
  • Excellent verbal and written communication skills, with the ability to clearly convey technical information to diverse audiences
  • Proven ability to thrive and contribute effectively within a collaborative, cross-functional team environment
  • Strong analytical capabilities, including the ability to gather complex business requirements and debug intricate issues across various data systems

Nice to have

  • Experience with leading cloud platforms such as AWS, GCP, or Azure
  • Familiarity with various industry-leading data warehousing technologies
  • Knowledge of data governance and data security best practices

What we offer

  • subsidized health, vision, and dental plans
  • paid sick leave
  • retirement plans with a match
Aquent - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

AI Data Engineer

8 matching positions

AI Data Engineer

We’re seeking an AI Data Engineer to support with building next‑generation analy...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Be a motivated engineer with foundational experience with data pipelines, and emerging AI techniques
  • Hold previous experience contributing to AI-related use cases or pilots, and show a clear interest in how technology is evolving across front-office trading environments
  • Bring a learning mindset and an understanding of the challenges involved in applying AI responsibly within low-latency, high-risk trading systems
Job Responsibility
Job Responsibility
  • To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure
  • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
  • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
  • Development of processing and analysis algorithms fit for the intended data complexity and volumes
  • Collaboration with data scientist to build and deploy machine learning models
What we offer
What we offer
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Fulltime
Read More
Arrow Right

AI Data Engineer

We are looking for a technically sharp and detail-oriented Data Engineer to join...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or a related discipline
  • 4 – 5 years of hands-on experience in data engineering, ETL development, or analytics engineering roles
  • Demonstrable experience with Databricks and/or Microsoft Fabric in a production environment
  • Proficiency in Power BI report and semantic model development
  • Exposure to Collibra or equivalent data governance / cataloguing platforms is strongly preferred
  • Strong SQL and Python skills
  • PySpark experience is required
  • Familiarity with Azure cloud services and DevOps practices for data pipeline deployment
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks (PySpark / Delta Live Tables), and Microsoft Fabric Data Factory
  • Transform raw, multi-source data into clean, conformed, and analytics-ready datasets following Medallion Architecture principles (Bronze → Silver → Gold)
  • Develop and optimize SQL and PySpark-based transformation logic for structured, semi-structured, and unstructured data
  • Implement incremental load patterns, merge/upsert logic, and slowly changing dimension (SCD) strategies to support historical data tracking
  • Collaborate with the AI Engineers to prepare high-quality feature datasets for ML and LLM use cases
  • Define, implement, and monitor data quality rules including completeness, accuracy, consistency, timeliness, and uniqueness checks
  • Administer and extend the Collibra data governance platform — including business glossary management, data lineage documentation, and stewardship workflows
  • Build automated data quality validation frameworks using tools such as Great Expectations, dbt tests, or Unity Catalog data quality constraints in Databricks
  • Triage and resolve data quality incidents, root-cause data anomalies, and communicate impact to stakeholders proactively
  • Maintain metadata catalogues and ensure all critical datasets have documented ownership, lineage, and classification
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Ai Data Engineer

Join us as an AI Data Engineer at Barclays, where you'll spearhead enterprise AI...
Location
Location
Czechia , Prague
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Hands-on data engineering experience with a demonstrable focus on AI and machine learning use cases, including data pipeline design and optimization for AI consumption
  • Practical experience with Model Context Protocol (MCP), including implementation in personal or enterprise projects, and understanding of context construction and integration patterns (at least as part of personal projects)
  • Strong understanding of data entitlements, access controls, and governance frameworks, with ability to implement entitlement-aware systems that enforce desk-, book-, client-, and license-level constraints
  • Deep familiarity with AI/LLM concepts and terminology, including understanding of how large language models integrate with data, agentic workflows, and RAG (Retrieval-Augmented Generation) patterns
Job Responsibility
Job Responsibility
  • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
  • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
  • Development of processing and analysis algorithms fit for the intended data complexity and volumes
  • Collaboration with data scientist to build and deploy machine learning models
  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness
  • Collaborate closely with other functions/ business divisions
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function
  • Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
  • Consult on complex issues
  • providing advice to People Leaders to support the resolution of escalated issues
What we offer
What we offer
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Fulltime
Read More
Arrow Right

Ai Data Engineer

We are looking for an AI Data Engineer to lead the adoption of AI-assisted workf...
Location
Location
Ukraine
Salary
Salary:
Not provided
sigma.software Logo
Sigma Software Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • SQL / strong
  • Python / strong
  • Spark/PySpark / strong
  • Azure Data Platforms / good
  • AI Coding Tools / good
Job Responsibility
Job Responsibility
  • Leading the adoption of AI-assisted workflows within our engineering team
  • Building scalable data pipelines
  • Experimenting with AI tools
  • Identifying opportunities to improve productivity
  • Helping the team transition to AI-augmented workflows
What we offer
What we offer
  • Diversity of Domains & Businesses
  • Variety of technology
  • Health & Legal support
  • Active professional community
  • Continuous education and growing
  • Flexible schedule
  • Remote work
  • Outstanding offices (if you choose it)
  • Sports and community activities
  • Fulltime
Read More
Arrow Right

AI Data Engineer

This role is a fantastic opportunity to start your career in data engineering fo...
Location
Location
Mexico , Mexicali
Salary
Salary:
Not provided
trimble.com Logo
Trimble Inc.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative field
  • Foundational knowledge of database concepts and proficiency in SQL for data querying and manipulation
  • Proficiency in at least one programming language, preferably Python, for scripting and data processing tasks
  • A conceptual understanding of data warehousing, ETL processes, and data modeling
  • Strong problem-solving skills and an ability to analyze issues of a limited scope with a focus on finding clear answers
  • Eagerness to learn and a strong interest in data engineering, cloud technologies, and AI/ML
Job Responsibility
Job Responsibility
  • Assist in the design, construction, and maintenance of foundational data pipelines (ETL/ELT) to support AI/ML model development
  • Contribute to data cleaning, transformation, and aggregation tasks to prepare datasets for machine learning applications
  • Perform routine data quality checks and write basic tests to ensure data integrity and reliability
  • Support the management of data storage solutions, including data warehouses and data lakes, under the supervision of senior engineers
  • Document data sources, pipeline logic, and data models to ensure clarity and maintainability for the team
  • Collaborate with AI/ML engineers to understand their data requirements and assist in providing them with accessible, analysis-ready datasets
  • Fulltime
Read More
Arrow Right

Ai data engineer

WFH flexibility! Up to 4 days/week! Global Environment! Competitive salary!
Location
Location
Japan , Tokyo
Salary
Salary:
7500000.00 - 12000000.00 JPY / Year
https://www.randstad.com Logo
Randstad
Expiration Date
August 25, 2026
Flip Icon
Requirements
Requirements
  • Azure AI Stack: Hands-on experience with Azure Machine Learning, Azure AI Foundry, and Azure OpenAI Service
  • Data Proficiency: Strong understanding of Azure Data Lake Storage (ADLS) and Synapse Analytics. Experience working with Parquet files and large-scale datasets
  • Programming: Proficiency in Python (for AI/ML) and familiarity with Scala/Spark (to align with our ETL core)
  • Backend & NoSQL: Experience developing with Azure Functions and managing data in CosmosDB
  • DevOps: Knowledge of CI/CD tools (Azure DevOps/GitHub Actions) for automating AI model lifecycles
What we offer
What we offer
  • 健康保険
  • 厚生年金保険
  • 雇用保険
  • 土曜日
  • 日曜日
  • 祝日
  • Fulltime
Read More
Arrow Right

Ai data engineer

The AI Data Engineer role involves developing and implementing machine learning ...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Develop and implement traditional machine learning algorithms
  • Deploy at least one model in a production environment
  • Write and maintain Python code for data science and machine learning projects
  • Knowledge of Deep Learning (DL) techniques
  • Experience working with Generative AI (GenAI) and Large Language Models (LLM)
  • Exposure to Langchain
Job Responsibility
Job Responsibility
  • Develop and implement traditional machine learning algorithms
  • Deploy at least one model in a production environment
  • Write and maintain Python code for data science and machine learning projects
Read More
Arrow Right

Ai Engineer Ii & Senior Ai Engineer - Getting Customers Ready For Ai

Security represents the most critical priorities for our customers in a world aw...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Must pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Design, build, and improve AI-powered solutions, including machine learning models, LLM-based applications, RAG systems, and agentic workflows that solve customer and business challenges
  • Develop and operate scalable data pipelines, ETL processes, training datasets, and AI infrastructure to support model development, deployment, and lifecycle management
  • Deploy, monitor, and optimize AI systems using MLOps practices, leveraging telemetry and feedback to improve performance, reliability, security, and scalability
  • Transform large-scale, multi-source data into contextual intelligence, automation, and decision-support capabilities that drive customer and business outcomes
  • Build and integrate AI capabilities into applications, services, APIs, and platforms to deliver end-to-end customer experiences
  • Contribute to AI readiness initiatives through frameworks, metrics, telemetry, and solutions that help customers securely adopt and operationalize AI technologies
  • Demonstrate a builder mindset by rapidly prototyping, experimenting, and iterating on AI solutions while navigating ambiguity and evolving requirements
  • Partner across engineering, data science, product, and customer teams to translate complex problems into practical, AI-driven solutions
  • Write maintainable, well-tested code and contribute to engineering excellence through documentation, operational rigor, governance, and adherence to security, compliance, and Responsible AI practices
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right