Snowflake Marketing Data Engineer Job at Robert Half (Tampa)

Senior Marketing Data Engineer

EF Tours is looking for an experienced Marketing Data Engineer to architect the ...

Location

Panama , Panama City

Salary:

Not provided

EF Education First

Expiration Date

Until further notice

Requirements

5+ years of Data Engineering experience, with a specific focus on Marketing Technologies (MarTech)
Expert-level SQL and deep experience building modular, tested models in dbt
Proficiency in Snowflake warehouse architecture and optimization
Strong Python scripting skills for orchestration and custom integrations
Understanding of how data enters Salesforce Marketing Cloud (Data Extensions, Contact Builder)
Knowledge of how to model data in a warehouse so it is ready for immediate use in a marketing journey
Sufficient knowledge of the Salesforce Sales Cloud schema (Leads, Contacts, Opportunities) to support the reporting refactor
Product-minded mindset, understanding that users are Marketers who need to launch campaigns and Analysts who need to report on leads

Job Responsibility

Architect and build production-grade dbt models in Snowflake specifically designed to sync to SFMC Data Extensions
Partner with Marketing Operations to migrate data logic from legacy automation tool to SFMC
Define the data schema required to support journeys, dynamic content, and subscriber management
Consolidate 1st-party behavioral data (web/mobile), CDP data, and CRM data into a 'Golden Record' for marketing activation
Ensure that Contact Keys, Subscriber statuses, and opt-in preferences are modeled correctly to maintain compliance and data integrity within SFMC
Refactor existing performance models (Pipeline Velocity, Cost Per Lead) to consume Salesforce CRM data (Leads, Opportunities) instead of legacy CRM data
Extend models to incorporate new channels and deeper attribution logic
Manage the end-to-end data lifecycle using Fivetran (ingestion), Snowflake (warehousing), dbt (transformation), and Prefect (orchestration)
Monitor pipelines to ensure data arrives in SFMC and Power BI on time every morning

What we offer

Hybrid Model – up to one day working from home per week after completion of initial training period
22 paid vacation days, in addition to 12 paid national holidays
Comprehensive health insurance. Eligible after 3 month probation period
World-class office facilities that include parking, in-house gym, coffee station, and collaboration spaces
Seasonal and monthly office events including Holiday parties, Summer Party, and Mix & Mingles
EF Product Discounts (discounts on travel, international language schools, childcare with our Au Pair product and more)
STEP Program – Get an experiential travel opportunity in order to know more about our product from the travelers' perspective
Yearly tuition reimbursement up to 1500 USD
Discounts at local venues and businesses

Fulltime

Data Entitlements Engineer - Market Data Platform

Location

Czechia , Prague

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Extensive hands-on experience designing and implementing data entitlements systems at enterprise scale, including policy creation, access controls, and entitlement workflows
Deep technical expertise with entitlements engines and access control frameworks (RBAC/ABAC), including implementation and troubleshooting across complex environments
Proven experience implementing entitlements across modern data platforms including Snowflake, Databricks, and KDB, with understanding of their native security models
Strong AWS cloud platform experience, particularly with IAM, Lake Formation, S3 bucket policies, and cloud-native security services

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Senior Data Entitlements Engineer - Market Data Platform

Join us as a Senior Data Entitlements Engineer - Market Data Platform at Barclay...

Location

Czechia , Prague

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Expert-level experience designing and implementing entitlement and license governance frameworks for data platforms, including defining policies, rules, and workflows that control access to sensitive market data at scale
Expertise and hands-on experience with entitlements engines and access-control models (RBAC, ABAC, ...), with a proven track record of building or configuring fine-grained permission structures in production environments
Demonstrated experience implementing and managing entitlements across multiple analytics and data platforms — specifically AWS (IAM, Lake Formation), Snowflake, Databricks, and/or KDB — understanding platform-specific security models and how to harmonise them under a unified governance layer
Strong AWS cloud experience, including identity federation, and security services relevant to data access and governance

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Principal Data Engineer

Capstone IT is seeking a Principal Data Engineer to lead enterprise-scale data e...

Location

United States , Springfield

Salary:

Not provided

Capstone IT Staffing

Expiration Date

Until further notice

Requirements

Snowflake
Google Cloud Platform (GCP)
BigQuery
ELT/ETL Pipeline Development
Kafka and/or NiFi
Cloud Data Architecture
SQL & Data Modeling
Real-Time Data Streaming
Business Intelligence & Reporting Tools
Executive Stakeholder Communication

Job Responsibility

Lead enterprise data engineering initiatives across eCommerce, customer analytics, and omnichannel data environments
Design, develop, and optimize scalable ELT/ETL pipelines supporting enterprise analytics and reporting
Build and maintain high-performance Snowflake and BigQuery data architectures
Develop and support real-time and batch data processing solutions using cloud-native technologies and streaming platforms
Partner with Product Owners, Business Analysts, marketing teams, and executive leadership to translate business requirements into scalable technical solutions
Deliver actionable analytics, dashboards, and executive-level reporting insights
Ensure data quality through governance, cleansing, transformation, integration, and validation processes
Drive architectural decisions related to enterprise data platforms, cloud modernization, and streaming ecosystems
Support BI and analytics environments utilizing tools such as Domo, Sigma, Tableau, and related visualization technologies
Manage offshore engineering resources and vendor relationships, including deliverables, budgeting, performance management, and capacity planning

What we offer

Medical Insurance
Dental Insurance
Vision Insurance
Company Matching 401(k)
Paid Relocation Assistance

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

Staff/Senior Software Consultant - Data Engineer

We are hiring for a Senior Data Engineer at 10Pearls responsible for designing, ...

Location

Pakistan , Lahore; Karachi; Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

5+ years of professional data engineering experience, including ownership of production pipelines that other teams depended on
ETL / ELT: deep experience with Airflow (DAG design, sensors, retries, backfills) and Airbyte (or equivalents like Fivetran, Meltano, or custom connectors)
Data warehousing: strong hands-on experience with Snowflake and/or BigQuery, including performance tuning, partitioning/clustering, and cost optimization
Transactional databases: solid SQL Server experience covering schema design, indexing, query tuning, and CDC patterns
Real-time data: production experience with Firebase / Firestore or comparable real-time stores, and at least one streaming or message-bus technology (Kafka, Azure Service Bus, Pub/Sub, Kinesis)
Programming: advanced SQL plus strong Python for data engineering
comfortable building reusable, tested, well-documented code
Modeling: fluency with dimensional and modern warehouse modeling, and with transformation frameworks such as dbt
Cloud storage: hands-on experience with Azure Storage (Blob/ADLS)
comfort with AWS S3 or GCS is a plus

Job Responsibility

Analyze large, complex datasets to extract key insights that inform strategic decision-making
Develop and maintain data models, dashboards, and reports to support business objectives
Apply statistical techniques and predictive modeling to drive business forecasts and performance analysis
Collaborate with data consultant teams to build scalable, reliable data pipelines and optimize data flows
Ensure data quality and integrity through best practices in data governance and validation processes
Partner with cross-functional teams (engineering, product, marketing) to understand data requirements and deliver customized insights
Present findings and actionable recommendations to senior leadership and non-technical stakeholders
Lead, mentor, and provide guidance to junior data analysts and team members
Manage multiple data projects, prioritize deliverables, and meet tight deadlines with high quality output
Implement CI/CD pipelines and version control for data workflows to ensure seamless deployment and collaboration

Fulltime

Level 2 Data Engineer

Location

India , Bellandur

Salary:

Not provided

Randstad

Expiration Date

July 04, 2026

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field with a focus on data engineering or data analytics
Strong proficiency in programming languages such as Python, SQL, Java, or Scala for data processing and analysis
Experience with data modeling, ETL processes, data warehousing, data integration, and data pipeline development
Proficiency in relational databases (e.g., SQL, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)
Working knowledge of cloud platforms such as Snowflake, AWS, Azure, or Google Cloud Platform for data storage and processing
Experience with data visualization tools (e.g., Power BI) to create meaningful insights from data
Understanding of data quality principles, data governance, and data validation processes
Ability to analyze complex data sets, identify trends, patterns, and insights to drive data-driven decision-making
Proficiency in troubleshooting data-related issues, identifying root causes, and implementing solutions
Familiarity with project management methodologies to contribute effectively to project planning and execution

Job Responsibility

Develop pipelines using the standard patterns for data pipelines and workflows utilizing Kestra, dbt, Git
Design and Implement data storage and processing solutions employing Snowflake
Utilize AWS services for cloud-based platform tooling infrastructure including but not limited to: Lambda, ECS, MSK, RDS, EC2, Secrets Manager, ALB, Cloud Watch, Event Bridge
Utilize Terraform for AWS and Azure deployments
Leverage and integrate APIs for data access and manipulation
Write Python scripts for data common processing and automation tasks
Leverage Platform API's and Web Applications to enforce Platform Security
Development experience with SQL, Python, C#, .net, JavaScript, shell scripts & container platforms like Docker
Create and execute comprehensive test plans to ensure the pipelines functionality and performance
Develop unit tests, integration tests, and end-to-end tests for data pipelines and workflows

What we offer

Commitment to your ongoing development, including on the job opportunities and formal programs
Inclusive parental leave entitlements for both parents
Values led culture
Flexible work options
Generous annual leave, sick leave and casual leave
Cultural and religious leave with flexible public holiday opportunities
A competitive remuneration package featuring performance based incentives with uncapped Employer Provident Fund

Fulltime

!

Data Engineer

You will be participating in exciting projects covering the end-to-end data life...

Location

Pakistan , Lahore

Salary:

Not provided

Dubizzle Labs

Expiration Date

Until further notice

Requirements

1-3 years experience in data processing, analysis, and problem-solving with large amounts of data
Good SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
1+ year of experience with one or more programming languages, especially Python
Ability to communicate insights and findings to a non-technical audience
Written and verbal proficiency in English
Entrepreneurial spirit and ability to think creatively
highly-driven and self-motivated
strong curiosity and strive for continuous learning
Top of class University technical degree such as computer science, engineering, math, physics

Job Responsibility

Design, implement and support data warehousing
Raw data integrations with primary and third-party systems
Data warehouse modeling for operational & application data layers
Development in Amazon Redshift cluster
SQL development as part of agile team workflow
ETL design and implementation in Matillion ETL
Real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, API Gateway, etc.
Design and implementation of data products enabling data-driven features or business solutions
Building data dashboards and advanced visualizations in Sisense for data cloud teams (formerly Periscope Data) with a focus on UX, simplicity, and usability
Working with other departments on data products – i.e. product & technology, marketing & growth, finance, core business, advertising, and others

Fulltime

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Snowflake Marketing Data Engineer

Job Description

Job Responsibility

Requirements

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