Snowflake Marketing Data Engineer Job at Robert Half (Tampa)

Customer & Marketing Data Engineering Manager

This hybrid role blends marketing strategy, customer analytics, and hands-on eng...

Location

United States , Springfield

Salary:

Not provided

Capstone IT Staffing

Expiration Date

Until further notice

Requirements

10+ years in digital marketing, data analytics, or data engineering
4+ years in a leadership role
Expertise with modern marketing and data technologies: Snowflake, SQL, Python, dbt, Airflow, Google Analytics, Tableau, Power BI
Strong background in connecting MarTech ecosystems (CRM, automation, attribution tools) to enterprise data platforms
Ability to turn marketing goals into clear technical plans and measurable results
Exceptional communication skills and comfort working across technical, marketing, and executive teams
Bachelor’s degree in Marketing, Computer Science, Data Analytics, or related field

Job Responsibility

Build and execute data-driven digital marketing strategies that boost customer acquisition, retention, and engagement
Analyze customer behavior, campaign performance, and conversion data—turning insights into action
Partner with Marketing and Data teams to enable personalization, targeting, and unified reporting
Optimize digital channels (email, social, web) to improve ROI and customer experiences
Integrate CRM, analytics, and marketing automation tools into enterprise data platforms
Lead and mentor a cross-functional team of data engineers, BI developers, and analysts
Oversee the development of scalable data pipelines, integrations, and analytics infrastructure (Snowflake, dbt, Airflow)
Roll up your sleeves to help design data models, review workflows, and troubleshoot complex technical challenges
Modernize outdated systems and implement forward-looking data architectures
Align engineering and marketing roadmaps to ensure technology fuels business outcomes

Data Engineer, Solutions Architecture

We are seeking a talented Data Engineer to design, build, and maintain our data ...

Location

United States , Scottsdale

Salary:

90000.00 - 120000.00 USD / Year

Clearway Energy

Expiration Date

Until further notice

Requirements

2-4 years of hands-on data engineering experience in production environments
Bachelor's degree in Computer Science, Engineering, or a related field
Proficiency in Dagster or Airflow for pipeline scheduling, dependency management, and workflow automation
Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
Strong Python and SQL skills for data processing and automation
1-2+ years of experience with continuous integration and continuous deployment practices and tools (Git, GitHub Actions, GitLab CI, or similar)
Advanced SQL skills, database design principles, and experience with multiple database platforms
Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
Experience with APIs, streaming platforms (Kafka, Kinesis), and various data connectors and formats

Job Responsibility

Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
Optimize query performance and resource utilization to control costs and improve processing speed
Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
Implement workflow automation and dependency management for critical business operations
Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
Support advanced analytics initiatives through proper data preparation and feature engineering
Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets

What we offer

generous PTO
medical, dental & vision care
HSAs with company contributions
health FSAs
dependent daycare FSAs
commuter benefits
relocation
a 401(k) plan with employer match
a variety of life & accident insurances
fertility programs

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

Adswerve is looking for a Senior Data Engineer to join our Adobe Services team. ...

Location

United States

Salary:

130000.00 - 155000.00 USD / Year

Adswerve, Inc.

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)
5+ years of experience in a data engineering, analytics, or marketing technology role
Hands-on expertise in Adobe Experience Platform (AEP), Real-Time CDP, Journey Optimizer, or similar tools is a big plus
Strong proficiency in SQL and hands-on experience with data transformation and modeling
Understanding of ETL/ELT workflows (e.g., dbt, Fivetran, Airflow, etc.) and cloud data platforms (e.g., GCP, Snowflake, AWS, Azure)
Experience with ingress/egress patterns and interacting with API’s to move data
Experience with Python, or JavaScript in a data or scripting context
Experience with customer data platforms (CDPs), event-based tracking, or customer identity management
Understanding of Adobe Experience Cloud integrations (e.g., Adobe Analytics, Target, Campaign) is a plus
Strong communication skills with the ability to lead technical conversations and present to both technical and non-technical audiences

Job Responsibility

Lead the end-to-end architecture of data ingestion and transformation in Adobe Experience Platform (AEP) using Adobe Data Collection (Tags), Experience Data Model (XDM), and source connectors
Design and optimize data models, identity graphs, and segmentation strategies within Real-Time CDP to enable personalized customer experiences
Implement schema mapping, identity resolution, and data governance strategies
Collaborate with Data Architects to build scalable, reliable data pipelines across multiple systems
Conduct data quality assessments and support QA for new source integrations and activations
Write and maintain internal documentation and knowledge bases on AEP best practices and data workflows
Simplify complex technical concepts and educate team members and clients in a clear, approachable way
Contribute to internal knowledge sharing and mentor junior engineers in best practices around data modeling, pipeline development, and Adobe platform capabilities
Stay current on the latest Adobe Experience Platform features and data engineering trends to inform client strategies

What we offer

Medical, dental and vision available for employees
Paid time off including vacation, sick leave & company holidays
Paid volunteer time
Flexible working hours
Summer Fridays
“Work From Home Light” days between Christmas and New Year’s Day
401(k) Plan with 5% company match and no vesting period
Employer Paid Parental Leave
Health-care Spending Accounts
Dependent-care Spending Accounts

Fulltime

Senior Data Engineer

As a Senior Data Engineer, you will be pivotal in designing, building, and optim...

Location

United States

Salary:

102000.00 - 125000.00 USD / Year

Wpromote

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
4+ years of experience in data engineering or a related field
Intermediate to advanced programming skills in Python
Proficiency in SQL and experience with relational databases
Strong knowledge of database and data warehousing design and management
Strong experience with DBT (data build tool) and test-driven development practices
Proficiency with at least 1 cloud database (e.g. BigQuery, Snowflake, Redshift, etc.)
Excellent problem-solving skills, project management habits, and attention to detail
Advanced level Excel and Google Sheets experience
Familiarity with data orchestration tools (e.g. Airflow, Dagster, AWS Glue, Azure data factory, etc.)

Job Responsibility

Developing data pipelines leveraging a variety of technologies including dbt and BigQuery
Gathering requirements from non-technical stakeholders and building effective solutions
Identifying areas of innovation that align with existing company and team objectives
Managing multiple pipelines across Wpromote’s client portfolio

What we offer

Half-day Fridays year round
Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance

Fulltime

FLEX Senior Manager, Onsite Digital Data Management

This is a temporary position. We are looking for a Sr Manager, Owned Channels Di...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data management, analytics, and marketing technology OR 2+ years of experience in data management, analytics and marketing technology with a Master's degree
Proven expertise in designing and engineering complex data flows for customer data & audience development with proficiency in SQL
In-depth knowledge and hands-on experience with full funnel tag management and digital analytics platforms (e.g., Adobe Analytics, Google Analytics etc.)
Strong understanding of marketing and ad technologies, customer data platforms (CDP), and cloud data warehouses (e.g., Snowflake, AWS)
Proven ability to deliver impactful results while managing complex, high-stakes initiatives with ambiguity and cross-functional collaboration
Strong leadership skills with a track record of working closely with marketing, digital, and technology teams to drive data strategy and innovation

Job Responsibility

Provide leadership, consulting, and information expertise to achieve the goals for marketing & media
Work with MarTech and IT teams to develop and deploy an effective digital & customer data infrastructure
Contribute to data strategy, data management, and enhanced data products for use by the Marketing discipline
Contribute to the broader data strategy and effectively prioritize implementation tactics for onsite data to ensure they are in line with overall organizational goals and long-term business strategies
Work closely with the marketing and analytics teams to identify key performance indicators (KPIs) and data requirements necessary for optimizing segmentation strategies and enhancing ROI
Manage vendors/technical staff to build the infrastructure to support data & reporting solutions in AWS, Snowflake, Adobe etc
Oversee development of systems and technologies that reduce manual processes and data quality issues relating to data capture
Partner with Analytics and IT to build Data Management, Analytics and Reporting roadmaps for future years
Partner with business leadership to secure funding for critical Data Management & IT programs

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

Senior Analytics Engineer

Senior Analytics Engineer role at Fever, building a federated data organization ...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Bachelor's, Master's, or PhD in Computer Engineering, Data Engineering, Data Science, or related field
Strong experience with SQL and data modeling (star/snowflake schemas, data vault, or similar)
Hands-on experience with DBT (or similar transformation frameworks)
Hands-on experience with Python and orchestration frameworks (Airflow, Dagster, Prefect)
Familiarity with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.)
Experience with BI tools (Metabase, Superset, Tableau, etc.)
Understanding of data quality, governance, and observability practices
Collaborative mindset comfortable working with both engineers and business stakeholders
Strong communication skills adaptable to multidisciplinary, international, fast-paced environment

Job Responsibility

Design, build, and maintain data models (DBT, SQL) that transform raw data into clean, trusted datasets
Collaborate with data engineering team to define and certify business-critical metrics
Work with business squads (B2B, Marketing, CRM, Product) to understand their needs and turn them into reusable data assets
Ensure data quality and consistency through testing frameworks, observability, and governance
Support self-service analytics by enabling stakeholders to explore data confidently
Contribute to Airflow pipelines in Python for automation and orchestration
Contribute to data mesh vision creating domain-owned datasets

What we offer

Attractive compensation package with base salary and performance bonus
Stock options
40% discount on all Fever events and experiences
Home office friendly
Health insurance
Flexible remuneration with 100% tax exemption through Cobee
English Lessons
Gympass Membership
Possibility to receive salary in advance by Payflow

Fulltime

Software Engineer (Data Department)

We are the leading global live-entertainment discovery tech platform with a clea...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

You are smart, get stuff done, have great energy, and thrive in a fast paced environment
You are comfortable with software engineering best practices and you are proud to write robust, readable and maintainable code
You have strong knowledge in POO, software architecture (clean, hexagonal, onion), design patterns and testing
You are an expert in Python3
Strong knowledge of SQL (PostgreSQL, Snowflake, …)
You are familiar with Docker and Kubernetes
You are proficient in business English

Job Responsibility

Have a business-oriented mindset and create data automatizations to create huge business opportunities
Work closely with other teams, such as CRM, Marketing, Product, Data Science, …
Understand highly complex business processes
Understand the technical trade offs of different solutions, implement them and make them scalable

What we offer

Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
Stock options
Opportunity to have a real impact in a high-growth global category leader
40% discount on all Fever events and experiences
Home office friendly
Responsibility from day one and professional and personal growth
Great work environment with a young, international team of talented people to work with!
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
Gympass Membership

Fulltime

Snowflake Marketing Data Engineer

Robert Half

Location:
United States , Tampa

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 31, 2026

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