Contract Data Engineer Job at Robert Half (Nashville)

Contract 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
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

Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance
Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan

Contract 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
eligible to enroll in our company 401(k) plan

Senior Data Engineer (Fixed Term Contract)

We’re looking for a Senior Data Engineer to join our team on a 12-month fixed te...

Location

United Kingdom , Nottingham

Salary:

55000.00 GBP / Year

Microlise

Expiration Date

July 19, 2026

Requirements

Strong experience in data engineering and pipeline development
A solid understanding of data modelling, governance and quality frameworks
Experience working with analytics or AI-ready datasets
Ability to translate complex business requirements into structured data solutions
A proactive, ownership-led mindset with strong stakeholder collaboration skills

Job Responsibility

Designing, building and maintaining data pipelines and transformations
Creating reusable, governed data products for analytics and AI teams
Translating business needs into structured, reliable datasets and data models
Owning the end-to-end lifecycle of data products (from creation through to optimisation)
Applying and monitoring data quality, validation and governance standards
Managing metadata, lineage, data contracts and compliance requirements
Working closely with stakeholders to understand data usage, dependencies and impact
Ensuring data products meet quality, performance and SLA expectations

What we offer

Professional development support
37.5 hour week with flexible working opportunities
Salary sacrifice EV Car Scheme
Great Place to Work certified
Private medical insurance with Vitality Health including rewards
25 days holiday excluding bank holidays increasing with service
Mental health first aiders
Employee Assistance Programmes
Free Costco membership
20% off EE mobile and line rental and other local discounts

Fulltime

Senior Staff Data Engineer- Data Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of hands-on experience in Software Development or Data Engineering
at least 5+ years specifically focused on building Data Platforms
deep understanding of how Platform infra supports Analytics workloads
proven experience evolving complex platforms from legacy patterns to modern, cloud-native solutions
deep knowledge of Spark internals, JVM tuning, and performance optimization for high-scale batch and streaming datasets
deep expertise in Unity Catalog, Delta Lake internals, and optimizing high-volume workloads
strict software engineering discipline (CI/CD, Testing, OOP) applied to data pipelines
understanding of microservices architecture
understanding the needs of Analytics/DWH teams (Data Modeling, dbt)
strong background in building automated pipelines using Terraform/Terragrunt and ensuring system observability

Job Responsibility

Lead the evolution of our Data Platform and architect the "Data Exchange" strategy
define robust patterns for API-based ingestion, Event-Driven Architectures (Kafka), and Reverse ETL
ensure architectures are optimized for cost and performance on AWS
act as a catalyst for technical evolution
constantly scan the horizon for next-generation technologies
lead the implementation of new paradigms
design the strategy for Unity Catalog implementation and Data Contracts
champion FinOps, automating cost controls for our highest-volume workloads
build the underlying infrastructure that allows Analytics/DWH teams to run efficient transformations
elevate the technical bar of the team, mentoring Staff and Senior engineers

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
a collaborative environment with an opportunity to explore your potential and grow
a range of locally relevant benefits

Fulltime

Data Engineer (Business Data)

As a Data Engineer on the R&D Team, you will help FreshBooks build and evolve hi...

Location

Canada , Toronto

Salary:

102400.00 - 128000.00 CAD / Year

FreshBooks

Expiration Date

Until further notice

Requirements

2+ years of experience working in data engineering, analytics engineering, or a related field
Experience building and maintaining data models and transformation pipelines (e.g., dbt or similar tools)
Strong SQL skills and proficiency in Python (or similar language)
Solid understanding of data modeling concepts (e.g., dimensional modeling, normalization, data warehousing patterns)
Experience working with a cloud data warehouse (e.g., BigQuery, Snowflake, Redshift)
Familiarity with orchestrators such as Airflow, GCC, Dagster, Prefect (or similar tools)
Basic understanding or exposure to streaming/event-driven systems (e.g., Pub/Sub, Kafka, Kinesis, Dataflow)
Understanding of data quality, testing, and validation practices
Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders

Job Responsibility

Architect, design, and develop clean, high-performance datasets using modern tools like dbt and BigQuery, focusing on usability and scalability for analytical consumption
Be a key contributor to our domain-oriented data architecture, defining how core business entities (e.g., customers, payments) are modeled, governed, and exposed across the organization
Build and maintain robust batch and streaming data pipelines that transform raw data into trusted, analytics-ready assets to support both near real-time and traditional use cases
Collaborate closely with Analytics, Product, and Machine Learning teams to translate complex requirements into reusable, well-governed data models and contracts
Champion data quality, reliability, and documentation by implementing rigorous testing, validation, and monitoring practices
Leverage cutting-edge tools, including AI/agentic workflows, to accelerate development, enhance productivity, and improve data exploration and lineage
Participate in code reviews, contribute to improving engineering standards, and partner with platform teams to ensure our data solutions meet ambitious performance, cost, and scalability goals

What we offer

Comprehensive health and wellness benefits
Generous time off including a flexible vacation plan
Retirement savings program or pension plan matched to your local office
Stock options for every full-time employee
Parental leave and new parent support
Annual healthy living credit
Comprehensive medical and dental benefits
Fertility and gender-affirming benefits
Peer Recognition Program
Employee Assistance Program

Fulltime

Euc Engineer / Intune Engineer - Contract

Modern Workplace Engineer / EUC Specialist - Contract. About the Organisation: A...

Location

New Zealand , Auckland

Salary:

Not provided

Randstad

Expiration Date

July 09, 2026

Requirements

Available to start in June 2026 with valid NZ work rights
3+ years of proven System Administration or Infrastructure Engineering or EUC Engineering experience, specifically operating in a hybrid corporate environment
In-depth tech support knowledge of both Windows and mac desktops
Hands-on experience auditing, monitoring, and restructuring AD Users, Groups, Computers, GPOs, and OUs
A solid understanding of computer security systems, data protection, storage fundamentals, and networking protocols (TCP/IP, DNS, DHCP)
Strong scripting and automation fundamentals (PowerShell) with a clear focus on building structured, repeatable operational playbooks
The unique ability to translate dense technical jargon into clear, actionable advice for both non-technical business stakeholders and internal engineering peers

Job Responsibility

Act as the technical escalation point for complex Tier 3 hardware, software, and identity issues, adhering strictly to established operational SLAs
Manage, image, and patch a diverse enterprise environment supporting both Windows and mac fleets
Design, scale, and maintain centralized endpoint configurations utilizing Intune and JAMF for Unified Endpoint Management
Take ownership of application packaging, deployment pipelines, and centralized configuration policies
Carry out AD and GPO administration, maintaining a strong working knowledge of Azure AD / Entra ID and hybrid single sign-on structures
Support and scale our Azure Virtual Desktop and Citrix environments to enable secure, remote productivity
Develop custom PowerShell scripts and automated workflows to streamline repetitive operational tasks, eliminate single points of failure, and optimize fleet health
Manage everyday on-prem peripherals, including print servers, Follow Me printing infrastructure, and executive audio-visual (AV) setups

Fulltime

Sr Data Engineer

As a Senior Data Engineer at Amgen, you will be responsible for managing and opt...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s or Master's degree with 8 - 13 years of experience in Computer Science, IT or related field
Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies
Proficiency in workflow orchestration, performance tuning on big data processing
Strong understanding of AWS services
Experience with Data Fabric, Data Mesh, or similar enterprise-wide data architectures
Ability to quickly learn, adapt and apply new technologies
Strong problem-solving and analytical skills
Excellent communication and teamwork skills
Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices
Excellent analytical and troubleshooting skills

Job Responsibility

Design, develop, and maintain scalable ETL/ELT pipelines to support structured, semi-structured, and unstructured data processing across the Enterprise Data Engineering for Biotech or Pharma functional knowledge of R&D
Implement real-time and batch data processing solutions, integrating data from multiple sources into a unified, governed data fabric architecture
Optimize big data processing frameworks using Apache Spark, Hadoop, or similar distributed computing technologies to ensure high availability and cost efficiency
Work with metadata management and data lineage tracking tools to enable enterprise-wide data discovery and governance
Ensure data security, compliance, and role-based access control (RBAC) across data environments
Optimize query performance, indexing strategies, partitioning, and caching for large-scale data sets
Develop CI/CD pipelines for automated data pipeline deployments, version control, and monitoring
Implement data virtualization techniques to provide seamless access to data across multiple storage systems
Collaborate with cross-functional teams, including data architects, business analysts, and DevOps teams, to align data engineering strategies with enterprise goals
Stay up to date with emerging data technologies and best practices, ensuring continuous improvement of Enterprise Data Fabric architectures

Fulltime

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

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