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Data Innovations Jobs (NOW HIRING)

Shutterfly

Principal Data Engineer

Plano, TX

$109K - $131K/yr

... innovations in our Websites and Mobile Apps. The Data Warehouse, Platform and Infrastructure vision is to provide Shutterfly teams the ability to manage the full life cycle of their data at all ...

Data Innovations

Manager, Cloud Operations

Create and manage performance metrics to track the success and impact of the cloud operations * team, using data to drive decisions and improve team efficiency Requirements Knowledge, Skills, and ...

Microsoft AI

Senior Applied Scientist

Redmond, WA · On-site

The Senior Applied Scientist will drive innovations in modeling and data for predicting ad outcomes, developing robust systems that enhance ad ranking and user experience. Responsibilities : • ...

Microsoft AI

Senior Applied Scientist

Sunnyvale, CA · On-site

The Senior Applied Scientist will drive innovations in modeling and data for predicting ad outcomes, developing robust systems that enhance ad ranking and user experience. Responsibilities : • ...

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How much do data innovations jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data innovations in the United States is $36.31, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $48.80 per hour, depending on experience, location, and employer.

What is a data innovation job description?

A data innovation job involves developing and implementing new data-driven solutions to improve business processes, often requiring skills in data analysis, programming, and familiarity with emerging technologies like artificial intelligence and machine learning. The role may include designing innovative data systems, optimizing data workflows, and collaborating with cross-functional teams to leverage data for strategic decision-making.

What is a Data Innovations job?

A Data Innovations job typically involves developing, managing, and optimizing data processes, tools, or systems to improve data quality, accessibility, and insights. Professionals in this role work with data platforms, automation, and analytics to drive innovation and efficiency in business operations. Responsibilities may include data integration, workflow automation, and collaborating with stakeholders to enhance data-driven decision-making.

What are the typical daily responsibilities of someone working in Data Innovations?

Professionals in Data Innovations roles spend their days developing and testing new data models, exploring emerging technologies, and collaborating with cross-functional teams to solve unique business challenges. They may gather and cleanse data, run experiments to validate hypotheses, and communicate insights to both technical and non-technical stakeholders. Regular tasks can also include researching industry trends and identifying ways to improve processes with data-driven solutions. This dynamic environment requires continuous learning and creative thinking, making every day both challenging and rewarding.

What do data innovations do?

Data innovations professionals develop and implement new methods, tools, and technologies to analyze and utilize data more effectively. They often work with data management systems, programming languages, and analytics software to improve data-driven decision-making within organizations.

Who is the CEO of Data Innovations?

As of October 2023, the CEO of Data Innovations is David J. Zivney. He has been leading the company, which specializes in laboratory automation and informatics solutions, focusing on innovation and customer support.

What is the highest paying job in data?

In data-related fields, chief data officers and data executives typically earn the highest salaries, often exceeding six figures annually. These roles require extensive experience, leadership skills, and expertise in data management, analytics, and strategy tools.

What are the key skills and qualifications needed to thrive in the Data Innovations position, and why are they important?

To thrive in a Data Innovations role, you need a strong background in data analytics, statistical modeling, and creative problem-solving, often supported by a degree in computer science, data science, or a related field. Familiarity with tools such as Python, R, SQL, and machine learning platforms, as well as certifications like AWS Certified Data Analytics, is highly valuable. Outstanding communication, adaptability, and collaboration are crucial for translating complex findings into actionable business solutions. These skills enable you to identify, design, and implement innovative data-driven strategies that create a competitive advantage for organizations.

More about Data Innovations jobs
What cities are hiring for Data Innovations jobs? Cities with the most Data Innovations job openings:
What are the most commonly searched types of Data Innovations jobs? The most popular types of Data Innovations jobs are:
What states have the most Data Innovations jobs? States with the most job openings for Data Innovations jobs include:
What job categories do people searching Data Innovations jobs look for? The top searched job categories for Data Innovations jobs are:
Data Innovations jobs near you
Infographic showing various Data Innovations job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $75,518 per year, or $36.3 per hour.
Principal Data Engineer

Principal Data Engineer

Shutterfly

Plano, TX

$109K - $131K/yr

Full-time

Posted 28 days ago

Shutterfly rating

6.4

Company rating: 6.4 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

259th of 713 rated retailers

Job description

At Shutterfly, we make life’s experiences unforgettable. We believe there is extraordinary power in the self-expression. That’s why our family of brands helps customers create products and capture moments that reflect who they uniquely are.

Shutterfly is looking for a Principal Data Engineer to join their team! As part of the Data Engineering team you will tackle the scalability, performance and distributed computing challenges needed to collect, process and store data for a $2B customer eCommerce, images and customizable product business. You will enhance the Data Warehouse at Shutterfly on AWS, supporting the breadth and depth of the company’s analytic needs, including the BI, Data Sciences, Product Management, Product Marketing, CRM, and Machine Learning teams to deliver data innovations in our Websites and Mobile Apps. 
 
The Data Warehouse, Platform and Infrastructure vision is to provide Shutterfly teams the ability to manage the full life cycle of their data at all levels, simplifying, commoditizing and democratizing its collection, computation and analytics through well-architected use of the AWS. 
 
Note: We are unable to provide visa sponsorship for this position at this time.
 
What You'll Do Here: 
  • Own & build design, develop, test, deploy, maintain and enhance full-stack data engineering solutions for the Data Pipelines & Data Mart encompassing the Data Warehouse
  • Provide technical leadership to both internal Data Warehouse team as well as to publishers & subscribers of the Shutterfly’s Enterprise Data Lake
  • Identify, evaluate and evangelize through data-based evidence improvements to the Data Lake as we as the data processing environment; hence influence the data strategy
  • With your technical expertise, own and manage project priorities, deadlines and deliverables
  • Always with a customer focus, evangelize the benefits of existing solutions and new technologies to drive the use and push the technology of the Data Warehouse forward
  • Work closely with Data Operations to improve CI/CD pipelines, as well as continually improve the operations, monitoring and performance of the Data Warehouse
  • Work across multiple teams in high visibility roles and own solutions end-to-end
The Skills You'll Bring: 
  • Expert knowledge of Python, Spark, and SQL; experience with large-scale data processing and distributed systems
  • 10+ years of hands-on experience building data platforms, including data pipelines, data warehousing, and feature engineering systems
  • Proven experience championing the adoption of AI-powered tools to increase team productivity, reduce manual effort, and improve operational efficiency.
  • Strong foundation in data structures, algorithms, and system design for large-scale data and AI systems
  • Experience with AWS ecosystem (e.g., S3, EMR, Glue, Lambda, SageMaker) or equivalent cloud platforms (GCP, Azure)
  • Hands-on experience with Databricks and modern lakehouse architectures
  • Familiarity with real-time data streaming frameworks
  • Experience supporting Machine Learning and AI workloads, including feature engineering, model data pipelines, and training data preparation
  • Bachelor’s / master’s degree in computer science or equivalent

Supporting a diverse and inclusive workforce is important to Shutterfly not only because it directly reflects our value of Embracing our Differences, but also because it’s the right thing to do for our business and for our people. We welcome all applicants and evaluate them based on their qualifications. Learn more about our commitment to Diversity, Equity, and Inclusion on our Career Site.

This position will accept applications on an ongoing basis until filled.

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