Data Engineer Job at Robert Half (Jacksonville)

New

Data Engineer

The Role: We are seeking a passionate Data Engineer to design scalable, robust s...

Location

United Kingdom , London

Salary:

Not provided

Randstad

Expiration Date

July 16, 2026

Requirements

Deep expertise in data engineering with the ability to extend into backend services
Proven experience building pipelines for large-scale transactional or financial data
Fluency in Scala (Scio/Dataflow) and comfort with cloud-native development on GCP
Strong communication skills to collaborate with Finance, Product, and Engineering teams to ship auditable, reliable systems that meet regulatory scrutiny
Ability to thrive in fast-moving, ambiguous spaces while prioritizing long-term sustainability

Job Responsibility

Design scalable, robust systems that turn large-scale consumption and royalty data into accurate payouts
Build self-serve tools for our Finance team
Develop modular, easily maintainable platform capabilities

Fulltime

New

Data Engineer

Design, develop, and maintain data solutions, pipelines and analytics applicatio...

Location

United States , Alpharetta

Salary:

Not provided

IQZ Systems

Expiration Date

Until further notice

Requirements

MS or foreign equivalent in Computer Science or Engineering (any) or Information Systems or Data Science or Related
1 year experience in data storage, analysis and pipelines, ETL, Apache Kafka and Apache Storm

Job Responsibility

Design, develop, and maintain data solutions, pipelines and analytics applications using various tools and technologies including Hadoop, Spark, Hive, Kafka, SQL, MapReduce, Apache Kafka, Apache Storm, AWS, Snowflake etc
Gather & analyze requirements
Identify and implement process improvements
Assemble large, complex data sets to meet requirements
Implement methods to improve data reliability and data quality
Design and develop frameworks to stream data
Optimize data delivery and re-design infrastructure for greater scalability
Perform troubleshooting and provide issue resolution and similar duties

Fulltime

New

Data Engineer

As a Data Engineer in our Finance Systems and Analytics team, you’ll help design...

Location

United Kingdom , London

Salary:

Not provided

EDF UK

Expiration Date

July 12, 2026

Requirements

Experience building and maintaining data pipelines and scalable data products using structured and unstructured data
Strong knowledge of SQL, ideally within a Snowflake environment
Experience with at least one server-side language such as Python, Java, Kotlin or NodeJS or experience with Alteryx
Knowledge of event-driven, loosely coupled architectures and data processing patterns
Experience working with CI/CD tools such as Jenkins, GitHub or Terraform
Experience applying test-driven development or behaviour-driven development approaches
Experience with automated testing techniques within data or software engineering environments
Proven experience working in the energy industry
Ability to translate complex data concepts to non-technical stakeholders

Job Responsibility

Building and maintaining scalable data products that deliver insight across finance systems
Designing and optimising ETL processes to ensure data integrity and performance
Collaborating with engineers, analysts, and business teams to define and deliver data solutions
Contributing to agile delivery, including planning, retrospectives, and continuous improvement
Supporting the operational performance, monitoring, and reliability of data platforms

What we offer

Competitive salary and potential for an annual bonus
Market-leading pension scheme
Electric vehicle leasing
Discounted gym membership
Life assurance
Tech vouchers
Experience days

New

Data Engineer

Join us as a Data Engineer. At Barclays, we don’t just adapt to the future, we c...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Strong hands-on experience in ETL technologies, Ab Initio GDE and EME
Strong hands-on experience on SQL, Hive, Impala
Strong hands-on experience on Unix, Hadoop, Spark
Hands-on experience in Python
Experience working with cloud platforms, especially AWS
Strong knowledge of Data warehousing
Proficiency in Gitlab, CI/CD
Practical knowledge and hands‑on experience with AI-powered development tools such as Copilot, Claude Code, and GitLab Duo
Familiarity with data visualization tools such as Tableau, Grafana
Knowledge of data messaging platforms like Apache Kafka

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

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

New

Data Engineer

Join us as a Data Engineer. At Barclays, we don't just adapt to the future, we c...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Hands on experience in Abinitio ETL tool
Hands on experience in python and pyspark and strong knowledge on Dataframes, RDD and SparkSQL
Hands on Experience in developing, testing and maintaining applications on AWS Cloud
Strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena)
Experience in Writing advanced SQL and PL SQL programs
Experience in AWS data pipeline development
Hands On Experience for building reusable components using AWS Tools/Technology
Should have worked at least on two major project implementations

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

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

New

Data Engineer

Join us as a Data Engineer at Barclays, where you will spearhead the evolution o...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Strong in Abinitio (GDE), Unix and Data warehousing concepts
Working experience in Linux/UNIX
Ability to understand source to target ETL mappings
Ability to design, develop and maintain Abinitio graphs
Ability to explain functional and technical details
Well versed in data integration, batch processing, and delta processing
Hands-on experience on UNIX shell scripts to automate routine task
Strong understanding on job schedulers
Hands-on experience on database
Analyse and trouble shoot issues

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

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

New

Data Engineer

We are seeking a Data Engineer with strong experience in Microsoft Azure and Dat...

Location

United States , Jacksonville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of Data Engineering experience
Hands-on experience with Azure Databricks
Experience with Azure services such as: Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure SQL Database
Strong SQL development skills
Experience with Python, PySpark, or Spark
Experience building and maintaining ETL/ELT pipelines
Understanding of data warehousing concepts and dimensional modeling
Experience working with large datasets in cloud environments

Job Responsibility

Design, develop, and maintain scalable data pipelines in Azure and Databricks
Build and optimize ETL/ELT processes for structured and unstructured data
Develop and support data lake, data warehouse, and analytics solutions
Integrate data from multiple internal and external sources
Collaborate with business analysts, data scientists, and stakeholders to understand data requirements
Ensure data quality, integrity, security, and governance standards are met
Monitor and troubleshoot data workflows and performance issues
Create and maintain technical documentation and data models
Support reporting and analytics initiatives by delivering reliable datasets

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

New

Data Engineer

Design, build, and maintain scalable data pipelines and ETL/ELT processes. Devel...

Location

United States , Austin

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering, data integration, or a related role
Strong proficiency in SQL and experience working with large, complex datasets
Experience building and maintaining ETL/ELT data pipelines
Proficiency in at least one programming language (Python, Java, Scala, or similar)
Hands‑on experience with data warehouses and data platforms (Snowflake, Redshift, BigQuery, Databricks, etc.)
Experience working in cloud environments (AWS, Azure, or GCP)
Familiarity with data modeling, schema design, and performance optimization
Experience integrating data from APIs, databases, and streaming sources
Strong problem‑solving and troubleshooting skills related to data pipelines and performance
Ability to collaborate with data analysts, data scientists, and business stakeholders

Job Responsibility

Design, build, and maintain scalable data pipelines and ETL/ELT processes
Develop and manage data architectures such as data warehouses, data lakes, and lakehouses
Ingest and integrate data from multiple sources (databases, APIs, streaming platforms)
Ensure data quality, integrity, and reliability across systems
Optimize data processing, storage, and query performance
Collaborate with data analysts, data scientists, and business teams to support analytics and reporting needs
Implement automation for data workflows, monitoring, and error handling
Troubleshoot and resolve data pipeline issues and performance bottlenecks
Support batch and real‑time data processing frameworks
Document data models, pipelines, and data engineering processes

What we offer

medical
vision
dental
life and disability insurance
enrollment in company 401(k) plan

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