Data Engineer Job at Realign (Toronto)

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

New

Data Engineer

This position will play a key role in strengthening an established Microsoft Fab...

Location

United States , Westchester

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Hands-on experience building and maintaining solutions within Microsoft Fabric
Strong knowledge of data modeling concepts and layered architecture patterns, including Bronze, Silver, and Gold frameworks
Experience working in Azure-based data environments and delivering cloud-oriented data engineering solutions
Demonstrated ability to apply independent judgment to data design decisions rather than simply executing predefined requests
Background in ingesting, transforming, and modeling Salesforce data for analytics or reporting purposes
Familiarity with legacy reporting or warehousing environments, including spreadsheet-heavy processes and older platform patterns
Experience with tools and technologies such as Python, Apache Spark, ETL processes, and related big data or streaming concepts
Strong communication skills and confidence working directly with business partners to clarify needs and explain technical recommendations

Job Responsibility

Expand and enhance an existing Microsoft Fabric data platform to improve performance, consistency, and downstream usability
Develop layered data solutions using Bronze, Silver, and Gold design principles, with particular attention to delivering trusted and analytics-ready Gold datasets
Create and refine data models that support accurate reporting by evaluating data relationships, structure, quality, and business context
Build ingestion and transformation pipelines for Salesforce data along with additional source systems used across the organization
Contribute to the evolution of reporting and warehousing practices by reducing dependence on legacy approaches and spreadsheet-driven processes
Work autonomously on technical deliverables while providing clear updates on milestones, design decisions, dependencies, and potential issues
Partner with business stakeholders to understand reporting needs and translate them into effective data structures that support analytics and visualization tools
Use data engineering technologies such as Python, Spark, ETL frameworks, and related platform capabilities to deliver scalable solutions
Support report-oriented data design by preparing curated datasets that align with Power BI and other business intelligence use cases

What we offer

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

Fulltime

New

Data Engineer

We are looking for a talented Data Engineer to join our team in Miami, Florida. ...

Location

United States , Miami

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience in data engineering with expertise in Snowflake, Python, and ETL processes
Strong knowledge of data warehouse design and optimization
Proficiency in working with Apache Spark, Hadoop, and Kafka
Solid understanding of data modeling, transformation, and integration techniques
Familiarity with data security, privacy, and compliance standards
Ability to troubleshoot and solve complex data-related issues
Excellent communication and collaboration skills to work effectively with cross-functional teams
Bachelor's degree in Computer Science, Information Technology, or a related field

Job Responsibility

Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools
Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs
Develop and maintain data models to support analytics, reporting, and operational processes
Optimize data warehouse performance by tuning queries and managing resources effectively
Ensure data quality through rigorous testing and governance protocols
Implement security and compliance measures to protect sensitive data
Research and integrate emerging technologies to enhance system capabilities
Support ETL processes for data extraction, transformation, and loading
Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets
Provide technical guidance and support to team members and stakeholders

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

New

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

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

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

New

Data Engineer

We are looking for a Data Engineer to play a key role in shaping and scaling our...

Location

Salary:

Not provided

MDOTM Ltd

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, or a related field
Strong programming skills in Java or Python (or other JVM-based languages)
Strong understanding of data modeling, SQL, and NoSQL databases
Strong focus on data quality, validation, and monitoring practices
Experience working with large-scale and time-series datasets in financial contexts, with an understanding of their structure and common data quality challenges
Experience building and maintaining production data pipelines or data-intensive systems, with focus on reliability and performance
Ability to troubleshoot and optimize production data systems
Experience with workflow orchestration and data pipeline scheduling tools
Solid understanding of financial data structures and concepts, with the ability to model and validate financial data accurately
Strong problem-solving skills and attention to detail

Job Responsibility

Design, build, and maintain production-grade data pipelines and data-intensive systems
Configure, schedule, and monitor data pipeline execution to ensure reliability, maintainability, and timely delivery across all data processes
Deploy and manage data infrastructure on AWS or on-premises, ensuring scalability, security, and cost-efficiency
Monitor and optimize relational and NoSQL database performance (e.g., MySQL, PostgreSQL, MongoDB) to ensure efficient querying, indexing, and data access at scale
Ensure reliable ingestion, transformation, and availability of large-scale and time-series financial data, considering financial-specific data quality characteristics
Implement and maintain data quality, validation, and monitoring mechanisms across data workflows
Define and evolve data models and storage structures across relational and NoSQL systems
Collaborate with Data Scientists and Analysts to ensure accurate and efficient data access for analytics and modeling use cases
Optimize data processing workflows for performance, reliability, and operational stability
Troubleshoot complex data issues and drive root cause analysis

Fulltime

New

Data Engineer

We are looking for a Data Engineer who is passionate about building scalable dat...

Location

United States , Irving

Salary:

75168.00 - 130500.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of overall experience in data engineering or related fields
3+ years of experience building data pipelines using PySpark, Django, or similar frameworks, with strong proficiency in Python or Java/Scala
2+ years of advanced SQL experience, including database modeling and query optimization
Hands‑on experience with Apache Spark, Kafka, and distributed data processing technologies
Experience deploying data platforms in cloud environments such as AWS, Google Cloud, or Azure
Strong Python experience, including libraries such as NumPy and pandas for data loading and transformation
Experience scheduling and orchestrating workflows using tools like Apache Airflow or dbt
Practical experience with MLOps concepts and supporting ML model lifecycle workflows
Working knowledge of relational and non‑relational databases, including data modeling principles
Experience collaborating within Agile/Scrum teams and participating in sprint ceremonies

Job Responsibility

Design and build robust, scalable data pipelines to ingest structured and unstructured data from diverse sources
Develop and optimize data storage solutions, including relational databases, NoSQL systems, and data lakes
Implement data validation, automated testing, and monitoring to ensure accuracy, reliability, and compliance
Partner with Data Scientists, Product Managers, and Software Engineers to build infrastructure that supports ML models, analytics, and BI dashboards
Participate in feature discussions, help prioritize work, and guide teams toward consensus
Develop prototypes to validate concepts and accelerate solution design
Identify root causes of data issues, assess business impact, and propose effective solutions
Solve complex problems related to data quality, object identity, and error handling
Support MLOps workflows and contribute to model deployment and data integration processes
Work as part of an Agile/Scrum team and participate in related ceremonies

What we offer

Medical, dental, and vision insurance with an employer contribution
Flexible spending or health savings account
Life and AD&D insurance
Short- and long-term disability coverage
Paid time off
Employee assistance
Participation in a 401k program with company match
Additional voluntary or legally-required benefits

Fulltime

Data Engineer

We are looking for a Data Engineer to help strengthen enterprise data capabiliti...

Location

United States , San Diego

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

At least 5 years of hands-on experience in data engineering, data integration, or a closely related technical discipline
Strong background working with cloud data ecosystems and modern integration frameworks in production environments
Advanced SQL expertise, including query optimization, troubleshooting, and performance improvement
Proven experience creating and supporting production ETL or ELT pipelines across multiple data sources
Solid understanding of dimensional modeling and the design of analytics-focused datasets
Hands-on experience with Python, Apache Spark, or similar technologies used for large-scale data processing
Ability to communicate clearly, solve complex technical problems, and work effectively with both business and engineering teams
A bachelor’s degree in computer science, information systems, or a related field is preferred
relevant cloud or data certifications are a plus

Job Responsibility

Build and maintain robust data pipelines that move and transform information from diverse platforms into usable analytical datasets
Develop and support end-to-end integration workflows across multiple systems to ensure consistent and timely data delivery
Design data models and reporting structures that improve usability, performance, and accessibility for downstream analytics needs
Track data quality and platform performance, investigating issues and resolving reliability concerns before they affect business operations
Collaborate with cross-functional partners to translate reporting and analytics needs into scalable technical solutions
Maintain clear documentation and contribute to governance practices that promote accuracy, consistency, and operational discipline
Assist with validation, release activities, and continuous enhancements to improve the overall effectiveness of the data platform
Contribute to cloud-based data engineering efforts using tools such as Azure Data Factory, Azure Data Lake, Microsoft Fabric, Spark, Kafka, and Hadoop where appropriate

What we offer

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

Fulltime

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