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Data Engineer / Developer

(Draper, UT (Hybrid)

Who we are

SeekWell is the parent company of 1-800 Contacts, Luna, and Hello Eyes. Our goal is to make it simpler, easier, and more accessible for people to get the vision care they need. We maintain the legendary, award-winning culture 1-800 Contacts started almost 30 years ago and continue to develop innovative, pioneering products and businesses that make consumers cheer and optometrists squirm. We’re owned by KKR – one of the world’s largest and most successful private equity investment companies. We’ve built an excellent company and changed an industry by putting the customer first, always. The best is yet to come!

Why you want this job

As a Data Engineer / Developer, you will play a pivotal role in building and optimizing the data infrastructure necessary to support organizational analytics, governance, and decision-making. This role combines hands-on data engineering and database administration with the opportunity to influence long-term data strategy. You’ll work across business lines, solving critical data architecture challenges and collaborating with both technical and non-technical stakeholders.

Leveraging your expertise in SQL, Python, and modern data platforms like Snowflake and Databricks, you’ll develop scalable systems to enhance data maturity and governance, organize fragmented data processes, and build tools to monitor and manage data quality. This role is ideal for someone passionate about transforming complex data environments into secure, reliable systems that drive business insights.

What you’ll do

  • Design and implement scalable data architecture to improve data quality, discoverability, and governance.
  • Build, maintain, and optimize ETL pipelines and data warehouses (e.g., Snowflake, Databricks).
  • Write and manage advanced SQL queries, Python scripts, and other tools to monitor and track data/schema across systems.
  • Act as the go-to resource for data-related issues across the organization, helping various business units solve data challenges.
  • Collaborate with data managers, engineering teams, and other stakeholders to align data strategies with business needs.
  • Develop robust systems to track and monitor the flow, security, and integrity of data throughout the organization.
  • Work on strategic projects to establish a company-wide framework for data governance and compliance.
  •  

What you'll need

Minimum Qualifications

  • 5+ years of experience in database administration, SQL, and data engineering roles.
  • Proficient in Python, SQL, and modern data warehouse platforms like Snowflake and Databricks.
  • Hands-on experience with SQL Server and other relational databases.
  • Demonstrated ability to design and build ETL pipelines and data warehouses.
  • Excellent problem-solving skills, attention to detail, and communication skills.
  • Ability to collaborate across technical and non-technical teams.

Preferred Qualifications

  • Advanced SQL and Python skills for scripting and analytics.
  • Experience building scalable data models and monitoring solutions.
  • Familiarity with enterprise-level data governance and compliance strategies.
  • Proven success delivering databases, reports, and analytics tools that drive organizational value.

Why we will love you

  • You have a meticulous approach to data governance, ensuring data assets are accurately tracked, secure, and compliant. 
  • You demonstrate an ability to bridge the gap between technical and business requirements, creating impactful data governance strategies. 
  • You’re passionate about data security, consistently applying best practices and leading initiatives that protect sensitive information. 
  • You thrive on building relationships with business leaders, enabling a shared understanding of data management best practices. 
  • You bring a proactive, solution-oriented mindset, helping the organization continuously improve its data governance practices. 
  • You enjoy mentoring and guiding team members, helping foster a collaborative, high-performing environment focused on data excellence. 

Perks

  • Free eye exams for your entire family
  • Deep discounts on lenses, glasses, and other services
  • Amazing healthcare coverage
  • 401(k) match
  • Flexible PTO
  • Tuition reimbursement program
  • In-house restaurant with highly discounted meals (Steak dinner under $6)
  • Free snacks, ice cream, and drinks every day
  • Full onsite gym

 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

 #LI-Hybrid

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Expert:
You have extensive experience designing and implementing enterprise-wide data governance frameworks, using tools such as Collibra, Alation, or Informatica. You lead cross-functional initiatives to establish data governance strategies, ensuring compliance and data quality at scale. You mentor others in governance best practices and are a key driver of organizational data maturity.

Advanced:
You have significant experience working with data governance tools and frameworks, implementing policies for data quality, metadata management, and compliance. You can independently manage governance tools and contribute to strategic initiatives while resolving complex governance issues.

Intermediate:
You have hands-on experience with data governance tools and frameworks. You are familiar with metadata management, data quality monitoring, and compliance processes but may require guidance for implementing organization-wide strategies.

Beginner:
You have foundational knowledge of data governance tools and frameworks. You may have completed training or participated in small-scale data governance projects but lack hands-on experience in enterprise-wide implementations.

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Expert:
You have extensive experience developing robust, scalable Python scripts for data processing, analysis, and automation. You are proficient in using Python libraries such as Pandas, NumPy, and PySpark, and you regularly write production-level code. You mentor others in Python best practices and optimize workflows for critical business projects.

Advanced:
You have significant experience using Python for data manipulation, automation, and analysis. You are comfortable writing reusable, efficient scripts and leveraging Python libraries for mid-size projects.

Intermediate:
You have hands-on experience using Python for small-scale data tasks and automation. You are familiar with basic libraries and can write functional scripts but may require guidance for complex implementations.

Beginner:
You have a foundational understanding of Python syntax and concepts. You can write basic scripts and use core libraries but have limited hands-on exposure to real-world projects.

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Expert:
You have deep expertise in writing and optimizing complex SQL queries, designing database schemas, and managing data pipelines. You have experience working with large datasets, ensuring query performance, and automating ETL processes. You mentor others on advanced SQL techniques and lead database optimization initiatives.

Advanced:
You have significant experience using SQL for data analysis, querying, and schema design. You can independently optimize queries, manage joins across multiple tables, and contribute to database management tasks.

Intermediate:
You have hands-on experience writing SQL queries for standard data tasks, such as filtering, joining, and aggregating data. You are comfortable creating basic schemas and resolving common query issues but may require guidance for advanced optimization or troubleshooting.

Beginner:
You have a foundational understanding of SQL. You can write simple queries and perform basic operations like SELECT, JOIN, and GROUP BY but lack exposure to more complex tasks or large datasets.

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Expert:
You are highly proficient in creating complex dashboards and reports using Tableau, PowerBI, or Looker. You have optimized reports for performance and business insights, built advanced calculations, and integrated various data sources. You mentor others in data visualization best practices.

Advanced:
You have extensive experience using Tableau, PowerBI, or Looker to create dashboards and reports. You are skilled at optimizing performance, working with multiple data sources, and building reports that drive business decisions.

Intermediate:
You have practical experience creating dashboards and reports with Tableau, PowerBI, or Looker. You can handle most day-to-day tasks but may need guidance with more complex visualizations or performance optimizations.

Beginner:
You have basic knowledge of data visualization tools like Tableau, PowerBI, or Looker. You can create simple reports and dashboards but are still learning how to use these tools to their full potential.

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Expert:
You have extensive experience designing, managing, and optimizing database systems like SQL Server, MySQL, DynamoDB, and Databricks. You have led database migrations, implemented high-availability solutions, and mentored others on best practices for database performance and security.

Advanced:
You have significant experience with database systems, including creating and managing tables, optimizing performance, and resolving complex issues. You can independently support database infrastructure and contribute to strategic projects.

Intermediate:
You have hands-on experience with database systems, performing standard tasks like querying, table management, and basic performance optimization. You may need guidance for advanced configurations or troubleshooting.

Beginner:
You have a foundational understanding of databases, with limited exposure to real-world projects. You can perform basic operations but require supervision for more advanced tasks.

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Expert:
You have extensive experience designing, deploying, and managing cloud infrastructure on AWS or Azure. You are proficient in leveraging cloud services such as compute (EC2, Azure VMs), storage, serverless functions, networking, and IAM security policies. You have led large-scale cloud migration or optimization projects and mentor others in cloud best practices.

Advanced:
You have significant experience working with AWS or Azure, including deploying and managing infrastructure for business-critical applications. You can design moderately complex solutions, troubleshoot issues, and support team projects involving cloud resources.

Intermediate:
You have hands-on experience using AWS or Azure for deploying and managing basic services like virtual machines, storage, and databases. You are comfortable navigating the platforms and performing day-to-day tasks but may need guidance for complex solutions.

Beginner:
You have foundational knowledge of AWS or Azure. You can perform basic operations like setting up instances or configuring storage, but your hands-on exposure is limited to smaller-scale projects or training environments.

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Expert:
You have deep expertise in designing and managing ETL pipelines, optimizing data flows, and implementing scalable data integration frameworks. You have significant experience with data warehousing tools (e.g., Snowflake, Redshift, Databricks) and can architect solutions that support complex analytics workloads. You regularly mentor others and lead initiatives to improve data management processes.

Advanced:
You have significant experience developing and managing ETL pipelines, ensuring data accuracy, and implementing workflows to integrate data from multiple sources into a centralized data warehouse. You are comfortable with modern data warehousing concepts and optimization techniques.

Intermediate:
You have hands-on experience building ETL pipelines and working with data warehouses. You can perform routine data integration tasks, troubleshoot common issues, and manage data flow but may require guidance for large-scale or complex projects.

Beginner:
You have basic knowledge of ETL processes and data warehousing concepts. You can perform foundational tasks, such as loading data into a database or creating basic transformations, but lack hands-on experience with full-scale ETL pipelines or advanced data warehouse architectures.

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