Data Engineer Job at Robert Half (New York)

New

Data Engineer

Seeking a Data Engineer to build and optimize scalable data pipelines and platfo...

Location

United States , Atlanta, GA

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Data Platforms: Apache Spark (DataFrames, SQL, RDDs, streaming, tuning, Catalyst/Tungsten)
Delta Lake (ACID, MERGE, OPTIMIZE, Z-ORDER, CDC, time travel)
Databricks SQL (queries, views, UDFs)
Delta Live Tables (DLT), Jobs, Workflows
Architecture & Ingestion: Lakehouse (Medallion, partitioning, clustering, data contracts)
Auto Loader / Lakeflow (batch & streaming ingestion, CDC)
Unity Catalog (governance, access control)
Core Data Engineering: Advanced SQL & data modeling (dimensional, Data Vault)
ETL/ELT pipelines
Data quality & monitoring

Job Responsibility

Build ETL/ELT pipelines (batch & streaming)
Design scalable data architectures (Lakehouse, warehouse)
Ensure data quality, governance, and security
Optimize performance, cost, and reliability
Partner with analytics, BI, and engineering teams

What we offer

Competitive compensation and benefits
Free online training
Medical, vision, dental, and life and disability insurance
401(k) plan

Fulltime

New

Data Engineer

We are looking for an experienced Data Engineer to join a long-term contract eng...

Location

United States , Centennial

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering or a closely related technical field
Strong programming ability in Python and solid experience developing enterprise-grade ETL and data integration solutions
Hands-on expertise with Microsoft Fabric and practical experience working with Synapse Analytics and Azure Data Factory
Proven experience using Databricks to build, manage, and optimize large-scale data processing solutions
Strong understanding of cloud-based data engineering principles, including pipeline design, orchestration, and performance tuning
Experience working with large datasets and distributed processing technologies such as Apache Spark or PySpark
Familiarity with modern data platforms and architectures, including lakehouse, data warehouse, or hybrid cloud data environments

Job Responsibility

Design, develop, and enhance scalable data pipelines to support enterprise reporting, analytics, and AI use cases
Transform, cleanse, and organize complex data from multiple sources so it can be used effectively by downstream engineering and machine learning teams
Build and maintain robust data workflows in a cloud-based ecosystem using Microsoft Fabric, Synapse Analytics, Azure Data Factory, and Databricks
Collaborate with data engineers, ML engineers, and other technical stakeholders to create efficient and dependable data architecture
Monitor pipeline performance and resolve issues related to data quality, reliability, and processing efficiency across platforms
Orchestrate data ingestion, movement, and transformation processes for large-volume datasets in a backend-focused engineering environment
Support AI and machine learning initiatives by delivering well-structured datasets optimized for model development and operational use
Contribute to scalable lakehouse or warehouse-oriented data solutions while helping align engineering practices with cloud data best practices

What we offer

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

New

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

United States , Irving

Salary:

96400.00 - 144600.00 USD / Year

Citi

Expiration Date

June 20, 2026

Requirements

4+ years experience implementing data-intensive solutions using agile methodologies
Experience of modelling data for analytical consumers
Hands on Mantas expert throughout the full development life cycle, including: requirements analysis, functional design, technical design, programming, testing, documentation, implementation, and on-going technical support
Ability to automate and streamline the build, test and deployment of data pipelines
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills
ETL: Hands on experiencing in building data pipelines using Apache Spark
Big Data: Hands on experience of working on 'Big Data' platforms such as Hadoop, Hive or Snowflake for data storage and processing
Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design
Data Modeling & Design: Good exposure to data modeling techniques

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models
Considers the business implications of the application of technology to the current business environment
identifies and communicates risks and impacts
Drives communication between business leaders and IT
exhibits sound and comprehensive communication and diplomacy skills to exchange complex information
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

!

New

Data Engineer

Be a part of a place where challenges are measured in billions, qubits and nanos...

Location

United Kingdom , London

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Data Engineering & ETL Development: Strong hands-on experience in ETL development, data transformation, and end-to-end pipeline workflows (ingestion → processing → consumption) including structured dataset creation and analytics outputs
SQL, Data Modelling & Data Warehousing: Solid database and querying skills with expertise in SQL, joins, and large-scale data modelling for warehouse-style analytics and dataset integration
Data Integration & Distributed Systems: Experience integrating multiple enterprise data sources including API/feed handling and working with distributed data environments
Cloud & Data Lake Fundamentals: Exposure to AWS, data lake architectures, and catalogue-based querying environments, supporting scalable data processing
Data Quality, Testing & Debugging: Strong capability in debugging pipelines, resolving data issues, validating datasets, and working with data quality frameworks and controls
Financial Data Domain & Collaboration: Understanding of financial datasets with ability to collaborate across teams and stakeholders to deliver data solutions

Job Responsibility

Delivering a set of enterprise, non-negotiable data strategy outcomes across the end-to-end lifecycle
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

Location

United Kingdom , Edinburgh

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

A basic understanding of IT systems, including operating systems, networks, databases, and cloud fundamentals
Experience using scripting languages such as Python, PowerShell, Bash or Groovy to support automation and problem-solving
Exposure to troubleshooting approaches, including working with logs, error messages, and monitoring tools, and the ability to break down technical issues and identify possible causes

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 looking for a Data Engineer to join a growing financial services organiza...

Location

United States , Chicago

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

7-8 years of experience in data engineering or a closely related field
Strong hands-on background in building and supporting ETL or data pipeline solutions
Proven experience working with Snowflake in a production environment
Proficiency in Python for scripting, automation, and data processing tasks
Familiarity with modern cloud platforms
Experience with data ingestion technologies such as Fivetran or similar platforms
Ability to work through imperfect or incomplete data while communicating clearly with technical and business partners

Job Responsibility

Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem
Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools
Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting
Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure
Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma
Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery
Assess emerging technologies and recommend practical additions to the data stack as business needs evolve
Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly

What we offer

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

New

Data Engineer

We believe in the power of ingenuity to build a positive human future. We challe...

Location

United Kingdom , Belfast

Salary:

Not provided

PA Consulting

Expiration Date

Until further notice

Requirements

You thrive in problem-solving and analytical thinking
You enjoy collaborating with multiple stakeholders in a fast-paced environment
Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL
Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc
Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming
Be a British citizen or have been resident in the UK for the past 5 years

Job Responsibility

Work to agile best practices and cross-functionally with multiple teams and stakeholders
Use technical skills to problem solve with clients, as well as working on internal projects
Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams
Work alongside colleagues from across PA delivering transformative digital solutions
Design and build for the AWS cloud

What we offer

Private healthcare for you and your family
25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days
Generous company pension scheme
Opportunity to get involved with community and charity-based initiatives
Annual performance-based bonus
PA share ownership
Tax efficient benefits (cycle to work, give as you earn)

Fulltime

Data Engineer

Robert Half is seeking a Contract Data Engineer to support our client's data and...

Location

United States , Nashville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience as a Data Engineer or in a similar role
Strong proficiency in SQL and Python (or similar languages)
Experience with cloud platforms (AWS, Azure, GCP)
Hands-on experience with ETL / ELT tools (Airflow, dbt, Fivetran, Matillion, Glue, ADF, etc.)
Experience with data warehousing platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Familiarity with streaming and big data tools (Kafka, Spark, Databricks, Hadoop) is a plus
Strong understanding of data modeling, performance tuning, and pipeline optimization
Experience with version control systems (Git) and agile development practices
Excellent problem-solving, analytical, and communication skills

Job Responsibility

Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources
Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs
Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions
Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required
Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency
Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability
Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions
Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture

What we offer

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

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