Jobs in the United States

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Application Engineer - Virtual Lab
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…model, leveraging our efficient physical, digital and process infrastructure sustainably. We combine a technically led and digitally enabled approach with an exceptional team of experts;…
Added 2 mins ago
Mechanical Engineer Level 2/3
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Added 3 mins ago
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Added 4 mins ago
Lead Information Security Engineer - Red Team
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- $23.8 to $56.83 USD / hour
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Automated Test Engineer
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- $40 to $50 USD / hour
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Lead AI Engineer
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Our Lead AI Engineer, AI Innovation & Enablement is a hands-on specialist who helps turn AI into measurable results across April Housing. Working in close partnership with the Vice…
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Added 8 mins ago
Systems Engineer, Operations & Digital Solutions
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…of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily…
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Solutions Engineer
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As a senior Solutions Engineer, you will serve as a trusted technical advisor, connecting customer business priorities and complex technical requirements with secure, scalable solutions…
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Cloud Infrastructure Engineer
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Technical Integration Project Manager - BNATCS Architecture & Systems Engineering (BASE)
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This role requires an engineer's understanding of what is being built and an integrator's instinct for where things break down. You will manage the interdependencies, critical paths, and…
Added 14 mins ago
Senior Principal Information Security Analyst, Defensive Operations
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Own the availability, performance, and data quality of the SIEM and log collection infrastructure.
Added 14 mins ago
Staff Software Engineer, Agentic Workflows
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Come join the Intuit Enterprise Builders team as a Staff Software Engineer. As Intuit expands its footprint in the Mid-Market and Enterprise segment, you will be part of the group enabling…
Added 15 mins ago
Data Engineer
FF USA LLP
United States
The Data Engineer will play a key role in maintaining the organization's modern data infrastructure. This position is part of a team responsible for:-
Added 15 mins ago
AWS Cloud Security Architect
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…cybersecurity initiatives across cloud, hybrid, application, infrastructure, and emerging AI environments within the financial services…
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AWS Cloud Security Architect
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…cybersecurity initiatives across cloud, hybrid, application, infrastructure, and emerging AI environments within the financial services…
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AWS Cloud Security Architect
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AI/ML Engineer - ACT-Open Rank (Mid Level)-Atlanta, GA or Dayton, OH
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The AI/ML Engineer works with research, development, and testing teams to design, develop, and deploy reliable AI/ML solutions. Responsibilities include integrating AI/ML concepts into…
Added 19 mins ago
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Automated Test Engineer
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- $40 to $50 USD / hour
Our client seeks an Automated Test Engineer to support Hivemind by monitoring and maintaining large volumes of automated tests, troubleshooting failures, and driving bug resolution across…
Added 22 mins ago
DevOps Engineer - Hybrid
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We are seeking an experienced DevOps Engineer with a strong background in Infrastructure-as-Code (IaC) and automation to serve as a technical advocate supporting our client's cloud…
Added 23 mins ago
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Senior Software Engineer - Remote
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area, you will be required to work in the office a minimum of four days per week
Added 25 mins ago
Senior Product Technology Manager, Cloud Support on Gemini
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Senior BISO Engineer (Cybersecurity)
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- $50 to $60 USD / hour
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FF USA LLP

Data Engineer

United States

Apply on freshfields.wd3.myworkdayjobs.com About employer

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Job details

Experience: 3–5 years of experience in data engineering or a related technical discipline.
Posting language: English
Posted: Nov 12, 2026

Original job description

Overview of the Function We are seeking a talented and motivated Data Engineer with 3–5 years of experience to support the development and operation of our modern cloud-based data platform. Working within the Global Data Office, the Data Engineer will design, build and maintain scalable data pipelines and data products using Microsoft Azure, Databricks and Delta Lake, while supporting enterprise data governance and quality initiatives.

The role will work closely with the Data Engineering Lead, Data Architects, Analysts, Data Governance teams and business stakeholders to deliver trusted, reliable and accessible data solutions that underpin reporting, analytics, AI and machine learning initiatives across the firm.

This is an excellent opportunity for a hands-on engineer looking to deepen their expertise in modern data platforms, data engineering best practices and cloud-native technologies within a collaborative and innovative environment.

The role operates within a fast-paced and evolving environment and requires effective collaboration across geographically dispersed teams and multiple office locations. The successful candidate will demonstrate resilience, flexibility and a constructive approach to change, building strong relationships across the wider Data Office and business stakeholder community while fostering an inclusive and supportive team culture.

Role Summary/Purpose of Job The Data Engineer will play a key role in maintaining the organization's modern data infrastructure. This position is part of a team responsible for:-

Building and supporting scalable cloud-based data pipelines and data products.
Developing data solutions using Azure, Databricks, Delta Lake, Python and SQL.
Supporting enterprise data governance and quality initiatives.
Helping make trusted, governed data available across the organisation.
Collaborating with architects, analysts and business teams to solve complex data challenges.
Contributing to the evolution of the firm's cloud-first data and AI platform.
Learning from senior engineers while growing your technical and professional capabilities.

This role provides an excellent pathway toward Senior Data Engineer and Lead Data Engineer positions while working on enterprise-scale data, analytics and AI initiatives.

Key Responsibilities and Deliverables Data Pipeline Development

Design, develop and maintain batch and near real-time ETL/ELT pipelines using Azure Data Factory, Databricks, PySpark and SQL.
Support the ingestion, transformation and delivery of data from multiple enterprise source systems.
Develop reusable and scalable data processing components aligned with engineering standards.

Data Platform Engineering

Build and maintain data lake and lakehouse solutions using Azure Data Lake, Databricks and Delta Lake.
Support implementation of data models that enable analytics, reporting and self-service data consumption.
Assist with the development of reusable data products and datasets.

Data Quality and Governance

Implement data quality controls, validation frameworks and monitoring processes within data pipelines.
Support metadata management, data cataloguing and lineage activities using tools such as Collibra and Purview.
Contribute to improving data quality, consistency and trust across enterprise datasets.

Performance and Reliability

Monitor data pipelines and processing workloads to ensure reliability and operational stability.
Investigate and resolve data and platform issues in a timely manner.
Identify opportunities for improving performance, scalability and cloud cost efficiency.

Collaboration and Delivery

Work closely with Data Architects, Lead Data Engineers, Data Analysts and business stakeholders to deliver data solutions aligned to business requirements.
Participate in agile delivery ceremonies including sprint planning, stand-ups and retrospectives.
Support testing, deployment and release activities for data products and platforms.

CI/CD and Engineering Standards

Contribute to source control, automated deployment and testing processes using Git, Azure DevOps and related tooling.
Follow established engineering standards, coding practices and documentation requirements.
Participate in peer reviews and contribute to continuous improvement initiatives.

Documentation and Knowledge Sharing

Maintain technical documentation, solution designs and operational procedures.
Support knowledge sharing across the Data Office through collaboration and learning initiatives.
Contribute to the development of best practices and engineering standards.

Key Requirements Experience & Background

3–5 years of experience in data engineering or a related technical discipline.
Experience developing ETL/ELT data pipelines in a cloud environment, preferably Microsoft Azure.
Hands-on experience with Databricks, SQL and Python/PySpark.
Experience working with enterprise data platforms, data warehouses, data lakes or lakehouse architectures.
Familiarity with data governance, metadata management and data quality concepts.
Experience using Git and contributing to CI/CD delivery processes.
Strong stakeholder engagement and collaboration skills.
Bachelor’s degree in computer science, Engineering, Information Systems or a related field, or equivalent practical experience.

Technical Skills Azure Data Platform

Experience with:

Azure Data Lake Storage Gen2
Azure Data Factory
Azure Synapse Analytics
Azure Functions (desirable)

Databricks and Data Engineering

Experience developing solutions in Databricks.
Strong SQL skills.
Good working knowledge of Python and PySpark.
Understanding of Delta Lake concepts and modern lakehouse architectures.

Modern Data Engineering Tools

Familiarity with dbt (data build tool).
Experience using Git for source control.
Exposure to CI/CD practices using Azure DevOps or GitHub.
Basic understanding of orchestration tools such as Apache Airflow.

Data Governance and Quality

Awareness of data governance principles, metadata management and data lineage.
Experience working with Collibra, Purview or similar data governance platforms is advantageous.
Understanding of data quality frameworks and controls.

Soft Skills

Strong analytical and problem-solving skills.
Effective verbal and written communication skills.
Ability to work collaboratively across technical and business teams.
Comfortable working within Agile delivery environments.
Curious mindset with a willingness to learn new technologies and capabilities.
Strong attention to detail and commitment to delivering high-quality solutions.

EEO Statement Freshfields US LLP is proud to be an equal employment employer. Our policies and practices will be free from unlawful discrimination based upon race, color, ethnicity, religion, creed, sex (including pregnancy, childbirth or related medical conditions), national origin, citizenship, immigration status, ancestry, age, marital status, protected veteran status, military service, disability, medical condition, genetic information, sexual orientation, gender identity, or any basis prohibited under federal, state or local law. We strive to promote an atmosphere that encourages equal opportunities and prohibits discriminatory practices, including sexual harassment.

Disability Accommodation for Applicants to Freshfields US LLP Freshfields US LLP is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the alternative email address below to contact us about your interest in employment at BusinessServicesRecruitment@Freshfields.com , or you can send your resume to BusinessServicesRecruitment@Freshfields.com , or you can call us at +1-212-277-4000.

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Jobs in the United States