Contract Data Engineer Job at Robert Half (Nashville)

Curriculum Consultant – Data Engineering Contract

This role will include mapping out and planning the curriculum for a new Level 5...

Location

Salary:

Not provided

Instinct Resourcing

Expiration Date

Until further notice

Requirements

Experience working with apprenticeship curriculum and understanding apprenticeship regulations and frameworks
Strong understanding of data engineering principles, including pipelines, cloud architecture, ETL/ELT, data modelling, and governance.
Confident in mapping out curriculum
Recommend the tools, technologies, and lab environments needed for hands-on learning

Job Responsibility

Mapping out and planning the curriculum for a new Level 5 Data Engineering apprenticeship course
Mapping out the order of learning, planning where self-study modules will fit into instructor led learning and designing what is required for each area of learning
Working closely with the learning design team and offer input where needed to ensure the course is completed to a high standard

Software Engineer (Data Engineering)

We are seeking a Software Engineer (Data Engineering) who can seamlessly integra...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

4+ years in Data Engineering and AI/ML roles
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Python, SQL, Bash, PySpark, Spark SQL, boto3, pandas
Apache Spark on EMR (driver/executor model, sizing, dynamic allocation)
Amazon S3 (Parquet) with lifecycle management to Glacier
AWS Glue Catalog and Crawlers
AWS Step Functions, AWS Lambda, Amazon EventBridge
CloudWatch Logs and Metrics, Kinesis Data Firehose (or Kafka/MSK)
Amazon Redshift and Redshift Spectrum
IAM (least privilege), Secrets Manager, SSM

Job Responsibility

Design, build, and maintain scalable ETL and ELT pipelines for large-scale data processing
Develop and optimize data architectures supporting analytics and ML workflows
Ensure data integrity, security, and compliance with organizational and industry standards
Collaborate with DevOps teams to deploy and monitor data pipelines in production environments
Build predictive and prescriptive models leveraging AI and ML techniques
Develop and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Scikit-learn
Perform feature engineering, statistical analysis, and data preprocessing
Continuously monitor and optimize models for accuracy and scalability
Integrate AI-driven insights into business processes and strategies
Serve as the technical liaison between NStarX and client teams

What we offer

Competitive salary and performance-based incentives
Opportunity to work on cutting-edge AI and ML projects
Exposure to global clients and international project delivery
Continuous learning and professional development opportunities
Competitive base + commission
Fast growth into leadership roles

Fulltime

Principal Data Engineer

PointClickCare is searching for a Principal Data Engineer who will contribute to...

Location

United States

Salary:

183200.00 - 203500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

Principal Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems
Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
Deep expertise in streaming and real-time data technologies, including frameworks such as Apache Kafka, Flink, and Spark Streaming
Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools
Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
Experience with Lakehouse architectures and related technologies, including Databricks, Azure ADLS Gen2, and Apache Hudi
Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and across the organization

Job Responsibility

Lead and guide the design and implementation of scalable streaming data pipelines
Engineer and optimize real-time data solutions using frameworks like Apache Kafka, Flink, Spark Streaming
Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset
Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies
Drive adoption of best practices in data governance, observability, and performance tuning for streaming workloads
Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment
Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response
Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work

What we offer

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!

Fulltime

Lead Data Engineer

We're looking for a Lead Data Engineer to build the data infrastructure that pow...

Location

United States

Salary:

185000.00 - 225000.00 USD / Year

Zora

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, with at least 2 years in a technical leadership role
Strong proficiency in Python and SQL for building production data pipelines, complex data transformations and evolving data platforms, shared infrastructure, and internal tooling with engineering best practices.
Strong experience in designing, building, and maintaining cloud-based data pipelines using orchestration tools such as Airflow, Dagster, Prefect, Temporal, or similar.
Hands-on experience with cloud data platforms (AWS, GCP, or Azure) and modern data stack tools
Deep understanding of data warehousing concepts and experience with platforms like Snowflake, BigQuery, Redshift, or similar
Strong software engineering fundamentals including testing, CI/CD, version control, and writing maintainable, documented code
Track record of optimizing data systems for performance, reliability, and cost efficiency at scale
Excellent communication skills and ability to collaborate with cross-functional teams including product, engineering, and design

Job Responsibility

Design and build scalable data pipelines to ingest, process, and transform blockchain data, trading events, user activity, and market signals at high volume and low latency
Architect and maintain data infrastructure that powers real-time trading analytics, P&L calculations, leaderboards, market cap tracking, and liquidity monitoring across the platform
Own ETL/ELT processes that transform raw onchain data from multiple blockchains into clean, reliable, and performant datasets used by product, engineering, analytics, and ML teams
Build and optimize data models and schemas that support both operational systems (serving live trading data) and analytical use cases (understanding market dynamics and user behavior)
Establish data quality frameworks including monitoring, alerting, testing, and validation to ensure pipeline reliability and data accuracy at scale
Collaborate with backend engineers to design event schemas, data contracts, and APIs that enable real-time data flow between systems
Partner with product and analytics teams to understand data needs and translate them into robust engineering solutions
Provide technical leadership by mentoring engineers, conducting code reviews, establishing best practices, and driving architectural decisions for the data platform
Optimize performance and costs of data infrastructure as we scale to handle exponentially growing trading volumes

What we offer

Remote-First Culture: Work from anywhere in the world!
Competitive Compensation: Including salary, pre-IPO stock options, token compensation, and additional financial incentives
Comprehensive Benefits: Robust healthcare options, including fully covered medical, dental, and vision for employees
Retirement Contributions: Up to 4% employer match on your 401(k) contributions
Health & Wellness: Free memberships to One Medical, Teladoc, and Health Advocate
Unlimited Time Off: Flexible vacation policies, company holidays, and recharge weeks to prioritize wellness
Home Office Reimbursement: To cover home office items, monthly home internet, and monthly cell phone (if applicable)
Ease of Life Reimbursement: To cover everything from an Uber home in the rain, childcare, or meal delivery
Career Development: Access to mentorship, training, and opportunities to grow your career
Inclusive Environment: A culture dedicated to diversity, equity, inclusion, and belonging

Fulltime

Senior Data Engineer

Senior Data Engineer role in Data & Analytics, Group Digital to build trusted da...

Location

Spain , Madrid

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

5+ years of hands-on building production data systems
Experience designing and operating batch and streaming pipelines on cloud platforms (GCP preferred)
Proficiency with tools like BigQuery, Dataflow/Beam, Pub/Sub (or Kafka), Cloud Composer/Airflow, and dbt
Fluent in SQL and production-grade Python/Scala for data processing and orchestration
Understanding of data modeling (star/snowflake, vault), partitioning, clustering, and performance at TB-PB scale
Experience turning ambiguous data needs into robust, observable data products with clear SLAs
Comfort with messy external data and geospatial datasets
Experience partnering with Data Scientists to productionize features, models, and feature stores
Ability to automate processes, codify standards, and champion governance and privacy by design (GDPR, PII handling, access controls)

Job Responsibility

Build Expansion360, the expansion data platform
Architect and operate data pipelines on GCP to ingest and harmonize internal and external data
Define canonical models, shared schemas, and data contracts as single source of truth
Enable interactive maps and location analytics through geospatial processing at scale
Deliver curated marts and APIs that power scenario planning and product features
Implement CI/CD for data, observability, access policies, and cost controls
Contribute to shared libraries, templates, and infrastructure-as-code

What we offer

Intellectually stimulating, diverse, and open atmosphere
Collaboration with world-class peers across Data & Analytics, Product, and Engineering
Opportunity to create measurable, global impact
Modern tooling on Google Cloud Platform
Hardware and OS of your choice
Continuous learning (aim to spend ~20% of time on learning)
Flexible, friendly, values-led working environment

Fulltime

Senior Software Engineer - Data Protection

LufCo is seeking a Senior Software Engineer with a focus on Data Protection. Thi...

Location

United States , Annapolis Junction

Salary:

170000.00 - 245000.00 USD / Year

LufCo

Expiration Date

Until further notice

Requirements

Bachelor of Science degree in Software Engineering, Computer Science, Information Systems, or other related field
4 years of relevant work experience may be substituted for a B.S. degree
Fourteen (14) or more years experience as a Software Engineer in programs and contracts of similar scope
Languages: Java (for both front-end (Swing) and back-end (servlets), Javascript (vanilla/JQuery),Shell Scripting (BASH), PL/SQL (Oracle)
Frameworks: React and Spring/Spring Boot
OS: Linux and Windows
COTs: AEM (Adobe)
Servers: JBoss 7.x and Tomcat
Active TS/SCI with Polygraph clearance

Job Responsibility

Drive next generation Data Protection forward utilizing commercial and government best practices for ensuring secure encryption solutions
Planning, implementation, and evolution of Data Protection sets for evaluation and analysis as part of existing system modernization efforts
Ability to see impacts of system changes at scale, minimizing technical debt and critical thinking related to strategic moves regarding Identity, Credentialing, and Access Management Solutions
Provide fundamental knowledge on applying technologies like containerization to legacy physical workloads, the ability to identify automation improvements, and the ability to communicate pros/cons as part of the technical decision making process
Demonstrate a high level of familiarity with software patterns and modern design methodology
Software development on Linux based platforms
Software planning to include development planning, build planning, and sprint planning
Develop software to meet cybersecurity related software requirements and constraints
Advocate for automation in all aspects of the system (build, deployment, test, updating, and monitoring)
Perform requirements analysis, refinement, testing, troubleshooting, deployment, and push secure access solutions forward to support the customer

What we offer

Competitive salary
generous PTO
health/dental/vision insurance
401K matching
tuition reimbursement
Paid Time Off
401K Contribution and Employer Match Contributions
Medical, Dental, and Vision Coverage
Impactful Work
Cutting-Edge Technology

Fulltime

Senior Software Engineer - Data Team

We’re looking for Software Engineers to join our Data Department, developers wit...

Location

Spain , Barcelona; Madrid

Salary:

50000.00 - 70000.00 EUR / Year

Fever

Expiration Date

Until further notice

Requirements

Python Proficiency: confident working deeply in Python, understand topics like the GIL, concurrency (asyncio), generators, and decorators, care about maintainable typing and thoughtful performance optimization
Architecture Patterns: comfortable applying Hexagonal Architecture to keep domain logic clean and decoupled, can leverage patterns like CQRS and the Transactional Outbox to support consistency and reliability in an event-driven environment
Database Polyglot: strong SQL fundamentals, know how to design for performance (PostgreSQL internals, indexing strategies), understand when tools like Redis (caching) or Elasticsearch (search/aggregations) are the right fit
Communication: communicate clearly in English across audiences
Pragmatic mindset: balance quality with impact, able to make thoughtful trade-offs, deliver iteratively, and keep an eye on long-term sustainability while moving at a good pace

Job Responsibility

Architect and Build: Design, implement, and maintain scalable microservices using Python (FastAPI/Django), take ownership of breaking down complex monoliths or building new services from the ground up, applying DDD principles
Master the Event Stream: Build robust, event-driven flows with Kafka, ensure that our events are durable, ordered, and processed idempotently, managing eventual consistency with care
Integrate at Scale: Design fault-tolerant integrations with third-party ecosystems (Meta Ads, Google Marketing Platform, Salesforce), navigate rate limits, retries, and circuit breakers to maintain platform stability
Bridge OLTP and OLAP: Work at the intersection of transactional applications and analytical data, optimize PostgreSQL for operational efficiency while designing ingestion pipelines for Snowflake and Elasticsearch, using Airflow and dbt
Productionize Data Capabilities: Partner closely with Data Science, Machine Learning, and Data Engineering teams to ensure seamless integration of data sources and model infrastructure
Elevate the Bar: Lead thorough code reviews, write RFCs for key technical decisions, and mentor mid-level engineers, champion testing strategies (unit, integration, contract testing) and advocate for clean, sustainable code architecture

What we offer

Responsibility from day one and professional and personal growth
Opportunity to have a real impact in a high-growth global category leader
A compensation package consisting of base salary and the potential to earn a significant bonus for top performance
Stock options plan
40% discount on all Fever events and experiences
Home office friendly
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English / Spanish Lessons
Wellhub Membership
Possibility to receive in advance part of your salary by Payflow

Fulltime

Data Engineer

The Data Engineer will support the modernization and further evolution of its in...

Location

Belgium , Brussels

Salary:

Not provided

Airswift Sweden

Expiration Date

Until further notice

Requirements

Deep knowledge of the Ralph Kimball’s data warehousing concepts
Proven experience in agile Business Intelligence development team
Knowledge of relational databases and good data investigation/querying skills
A strong team player with a goal-directed attitude
Able to fluently communicate in English (spoken and written)
Knowledge of Microsoft SQL Server data warehouses, SSRS & SSIS
Experience working with semantic modelling tools like SSAS or Power BI

Job Responsibility

Designing, developing, and maintaining the central Data Warehouse to support key functional product processes such as contracting, flow planning, invoicing, and data publication
Build and optimize high-performance ETL pipelines and reporting solutions
Deploy through governed data pipelines, debugging, aligning with your team and peer reviewing code
Contribute to the technical design of scalable and reliable data solutions
Join agile ceremonies and contribute to sprint planning and delivery
Analyse functional and technical requirements to design database models
Build and maintain ETL pipelines using Microsoft BI tools
Develop semantic data models in Analysis Services and Power BI
Create and maintain reports in SSRS
Prepare and execute releases within a governed deployment framework

Fulltime

Contract Data Engineer

Robert Half

Location:
United States , Nashville

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 01, 2026

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