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
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
life and disability insurance
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
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

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

AI Data Engineer

We are looking for a technically sharp and detail-oriented Data Engineer to join...

Location

India , Bengaluru

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or a related discipline
4 – 5 years of hands-on experience in data engineering, ETL development, or analytics engineering roles
Demonstrable experience with Databricks and/or Microsoft Fabric in a production environment
Proficiency in Power BI report and semantic model development
Exposure to Collibra or equivalent data governance / cataloguing platforms is strongly preferred
Strong SQL and Python skills
PySpark experience is required
Familiarity with Azure cloud services and DevOps practices for data pipeline deployment

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks (PySpark / Delta Live Tables), and Microsoft Fabric Data Factory
Transform raw, multi-source data into clean, conformed, and analytics-ready datasets following Medallion Architecture principles (Bronze → Silver → Gold)
Develop and optimize SQL and PySpark-based transformation logic for structured, semi-structured, and unstructured data
Implement incremental load patterns, merge/upsert logic, and slowly changing dimension (SCD) strategies to support historical data tracking
Collaborate with the AI Engineers to prepare high-quality feature datasets for ML and LLM use cases
Define, implement, and monitor data quality rules including completeness, accuracy, consistency, timeliness, and uniqueness checks
Administer and extend the Collibra data governance platform — including business glossary management, data lineage documentation, and stewardship workflows
Build automated data quality validation frameworks using tools such as Great Expectations, dbt tests, or Unity Catalog data quality constraints in Databricks
Triage and resolve data quality incidents, root-cause data anomalies, and communicate impact to stakeholders proactively
Maintain metadata catalogues and ensure all critical datasets have documented ownership, lineage, and classification

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior AI & Data Engineer

The Senior AI & Data Engineer is an individual contributor role that acts as the...

Location

India , Bengaluru

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Engineering, Mathematics, or a related technical discipline
PhD is a plus
7 – 10 years of hands-on experience in AI/ML engineering, applied data science, or LLM engineering roles
Proven track record of delivering production AI systems
Deep expertise with at least two major LLM platforms (Claude, GPT, Gemini, or equivalent)
Significant experience with Collibra or an equivalent enterprise data governance platform
Demonstrated experience leading cross-functional AI initiatives and mentoring junior engineers
Strong ML fundamentals alongside modern generative AI skills
Experience with responsible AI practices, including fairness auditing, explainability, and content safety, is strongly preferred

Job Responsibility

Serve as the dual AI & data SME for the team and organization
Define and uphold engineering standards, design patterns, and best practices across both AI and data engineering disciplines
Lead technical discovery for new AI and data use cases
Participate in and lead cross-functional initiatives where AI and data strategy intersect
Mentor and upskill the Applied AI Engineer and AI Data Engineer
Architect and deliver complex agentic AI systems
Design and implement advanced RAG architectures
Lead LLM evaluation frameworks
Assess and implement LLM fine-tuning and alignment strategies
Own LLM integration architecture

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

New

Data Engineer

At Boeing, we innovate and collaborate to make the world a better place. We’re c...

Location

Canada , Richmond

Salary:

82000.00 - 145000.00 CAD / Year

Boeing

Expiration Date

June 12, 2026

Requirements

Minimum 3-year Cloud deployment experience (Azure preferred)
Minimum 3 years’ experience in relational and non-relational database technologies
Minimum 3-years’ experience supporting data science and analytics projects and/or infrastructure
Must be proficient in Python
Provide consent to Canadian Government Controlled Goods Program (CGP) assessment and willing and eligible to work on government and defense-related programs
Must be legally able to work in Canada
Individuals must not pose a risk for safeguarding of controlled goods
Must be eligible for Secret Level II security clearance
Must be eligible to handle US export-controlled data

Job Responsibility

Support team data science modeling, analytical applications, and problem-solving efforts
Propose data engineering solutions to support different modeling strategies
Design, build and support healthy, automated, and repeatable data ingestion and processing pipelines
Raw data ingestion, cleansing, and data contracts
Design data models and data contracts
Monitor and maintain data quality, integrity, consistency
Help design and build scalable, reliable, and high-performance systems and environments
Effectively contribute to building the overall knowledge and expertise of the technical team
Participate in work and code reviews with the team
Take part in implementation and support of continuous integration and continuous delivery (CI/CD)

What we offer

Competitive base pay and incentive programs
Industry-leading tuition assistance program pays your institution directly
Resources and opportunities to grow your career
Up to $10,000 match when you support your favorite nonprofit organizations

Fulltime

!

Sr Engineer, Data

This role is essential for designing and developing data architectures across on...

Location

United States , Bothell

Salary:

105100.00 - 189600.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)
4-7 years Developing cloud solutions using data series
experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud) (Required)
4-7 years Hands-on development using and migrating data to cloud platforms (Required)
4-7 years Experience in SQL, NoSQL, and/or relational database design and development (Required)
4-7 years Advanced knowledge and experience in building complex data pipelines with Python, Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go (Required)
Cloud Computing (Required)
Collaboration (Required)
Data Analysis (Required)

Job Responsibility

Develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements
Design and develop data architectures across on-premise, cloud, and hybrid platforms to ensure scalable data infrastructure
Architect, build, and maintain reliable data pipelines that ingest, transform, and deliver data from diverse customer and business data sources into enterprise data lake, warehouse, and analytics platforms
Design reusable data models and standardized schemas, including Customer 360 and customer behavioral data structures, to support consistent metric definitions and trusted downstream use by analytics, marketing, and AI/ML teams
Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights
Embed data quality practices into pipeline development, including automated checks for completeness, accuracy, timeliness, and governance alignment
Build and curate self-service data products, metadata, and documentation that improve data discoverability and enable approved users to access trusted datasets efficiently
Partner with analytics, marketing, AI/ML, and business stakeholders to understand data needs, define data contracts, and support scalable customer data use cases
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities
Mentor team members to build and enhance their data engineering skillsets and professional growth

What we offer

Medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Senior Data Engineer

Wells Fargo is seeking a Senior Software Engineer – Data Engineering

Location

India , Hyderabad; Bengaluru

Salary:

Not provided

Wells Fargo

Expiration Date

June 28, 2026

Requirements

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of hands-on experience with Python, SQL, and bash scripting for automation
Strong experience building big data pipelines using Apache Spark, Hive, Hadoop
Experience with Autosys/Airflow or similar orchestration tools
Working knowledge of REST APIs, Object Storage, Dremio, and CI/CD pipelines
Strong troubleshooting and problem‑solving capabilities
Solid foundation in data modeling (conceptual/logical/physical) and database design
Experience architecting pipelines using distributed systems patterns (shuffle optimization, spill, broadcast, storage layouts)
Experience with streaming frameworks like Spark Structured Streaming or Apache Flink
Hands‑on with optimization techniques: clustering, Z‑ordering, vectorized IO (Parquet/ORC), compaction

Job Responsibility

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Fulltime

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