Sr. Data Engineer

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 III, you will be a senior member of the team, tasked with scaling and optimizing our data systems while mentoring junior and mid-level engineers. Reporting to Ken Myers, you’ll lead the development of key machine learning projects, including designing and deploying recommendation algorithms and collaborating with data scientists on predictive modeling. You'll design new data models and ETL jobs to support business processes, optimize media spend pipelines, and work with marketing and product teams to ensure seamless data operations and actionable insights. This role is perfect for someone passionate about solving complex problems, building efficient data solutions, and guiding others. Opportunities for career growth include pathways to technical architecture or leadership roles, depending on your career interests and impact.

What you’ll do

• Lead collaboration with product, engineering, and data science teams to develop scalable data solutions addressing operational and business needs.
• Mentor junior and mid-level engineers, sharing best practices, guiding them through challenges, and fostering their professional growth.
• Design, build, and maintain data infrastructure for ETL processes, leveraging technologies such as Databricks, SQL Server, and AWS.
• Develop and optimize analytics tools, enabling actionable insights into metrics such as customer acquisition, operational efficiency, and media spend.
• Collaborate with data scientists to design, deploy, and optimize machine learning models for recommendation engines and predictive analytics.
• Create advanced reporting tools and dashboards using platforms like Tableau, Looker, or Power BI to support data-driven decisions.
• Implement and improve ETL jobs, supporting machine learning models and other critical business workflows.
• Work with streaming data systems like Kafka or Pub/Sub to enable real-time data processing and decision-making.
• Communicate technical concepts effectively to cross-functional stakeholders, aligning efforts with business goals and priorities.

What you'll need

Minimum Qualifications

• 5+ years of experience in a Data Engineer role or a related field, with a bachelor's degree in Computer Science, Statistics, Information Systems, or another quantitative field.
• Expert knowledge of SQL and advanced experience in data warehouse design and data modeling, including star schema, facts, and dimensions.
• Expertise in ETL, data pipeline technologies, Pub/Sub models, REST APIs, and workflow management tools.
• Proficiency with data warehousing platforms such as Databricks or Snowflake and relational database systems like SQL Server and MySQL.
• Programming proficiency in Python, with experience leveraging APIs for data integration and building scalable pipelines.
• Proficiency in cloud services (AWS, Azure, Google Cloud), including designing and managing data infrastructure on cloud platforms.
• Hands-on experience with stream-processing systems such as Apache Spark and Kafka.
• Experience with data visualization tools like Tableau, Power BI, or Looker, with the ability to create actionable and optimized dashboards.

Preferred Qualifications

• Direct experience with Databricks or Snowflake.
• Advanced experience in building, optimizing, and maintaining ETL processes in cloud environments.
• Proven track record in designing data warehouses and building ETL jobs to populate warehouse objects.
• Demonstrated experience in creating advanced reporting tools that provide actionable insights to stakeholders.
• Strong leadership, communication, and collaboration skills, with a proven ability to mentor team members and align stakeholders across teams.

Why we will love you

• You deeply understand data engineering, with expertise in building scalable and efficient infrastructures.
• You thrive in optimizing cloud platforms, data pipelines, and analytics tools to support business goals.
• You take initiative and communicate clearly, quickly getting up to speed and taking ownership of processes.
• You’re passionate about mentoring others and enjoy guiding a team to success.
• You have a problem-solving mindset and actively look for opportunities to improve systems and deliver impact.
• You excel in fast-paced environments, confidently tackling complex challenges.

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.

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