Title: Data Engineer
Company: Seesaw Learning
Location: Remote - US
Work Type: Full Time
Seesaw is an ed-tech company that opens the window to learning, allowing the brilliance and uniqueness of every elementary student to shine through to teachers and families. More than 10 million people across 150+ countries use our all-in-one education platform monthly.
Historically, families had little insight into what their children were learning in school, and students had to demonstrate their skills in a one-size-fits-all way that failed to capture the depth of their knowledge. Since 2013, Seesaw has paved a new way for learning by enabling families to participate in their children’s education. Our platform generates a powerful learning loop that connects teachers, families, and students, thus creating an environment where every student can thrive.
Seesaw’s mission is to create an experience where students are inspired to be their best. We all deeply value education and come to work knowing that what we do today enables future generations. Seesawers take pride in knowing that our work makes the learning experience better and more accessible to all.
Solving impactful problems on Seesaw’s Engineering team feels different from any other place. First, we are given lots of ownership over the product roadmap early on, collaborating on how and when things will be built from the start. Second, we have a strong connection to the user, listening to teacher feedback and observing how students and families interact with the platform in real life to iterate over our releases. And third, we enjoy ample autonomy to experiment and grow, and often see our ideas pushed to production in weeks, not months.
Globally, millions of children rely on Seesaw every day. That fact is inspiring, and at times, daunting. While we derive a deep sense of purpose from being able to improve students’ learning, it also means we’re emotionally invested in both the successes and failures. So when a child can’t log into their account or something on the platform breaks, we feel it.
Like the rest of the company, our team is growing fast. Keeping up with the pace of growth can be challenging, and we need your flexibility as we define and refine what we need to be. We often learn by shipping, so you won’t find an obsession with rigid processes here. As the Engineering team ramps up hiring, we’re committed to diversity, equity, and inclusion (DEI); constantly surveying employees, participating in training, and learning from our DEI Committee.
Though we care deeply and work diligently, there’s no extra credit for working long nights or spending weekends squashing bugs. When we’re off, we’re really off, enjoying our personal lives and recharging our batteries.
At the end of the day, we delight in how much our users adore our product. It’s incredibly fulfilling to read thank you tweets from teachers and know that, hey, we built something that makes a meaningful impact! And while we saw massive growth during the pandemic, we’ve still got a lot more growing to do. Joining our team now means you’ll get to help us take on new markets and innovate the next features that make the learning experience even better.
Seesaw is seeking an experienced Data Engineer to join our Platform Engineering team. You will be responsible for building and maintaining our data warehouse, through ETL pipelines that extract data from multiple production sources, and restructure it for analysis. The Data Engineer will work closely with both engineering & analytics teams to track key performance indicators, ensure data accuracy, and optimize data pipelines to improve efficiency. The ideal candidate must have experience with Snowflake or similar data warehouses, ETL processes, SQL, and Python.
Design and implement our data warehouse models and strategy
Build and maintain ETL pipelines to extract and transform production data sources into our data warehouse
Work with stakeholders to understand business requirements and translate them into technical specifications
Collaborate with the product engineering + analytics teams to design and guide implementation of dashboards, reports, and data visualizations
Develop and maintain data dictionaries, documentation, and processes for data quality and governance
Ensure data accuracy, completeness, and consistency
Monitor and optimize data pipelines to ensure performance, reliability, and scalability
Develop and maintain scripts for data processing, analysis, and visualization connectors
Research and evaluate new tools, technologies, and best practices for data engineering
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
5+ years of experience in data engineering or a related field
Strong proficiency in SQL and Python
Strong working experience with Snowflake
Strong proficiency in Python and experience with ETL tools and frameworks such as AWS Glue, Apache Airflow, etc
Experience with cloud-based data technologies such as AWS, GCP, or Azure
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
Compensation & Benefits:
Our salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Seesaw. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Seesawers. It is our expectation that the majority of candidates who are offered roles at Seesaw will land well within our salary ranges based on these factors.
The annual base salary range for this position is: $130,000 - 170,000 + RSUs
This is an exempt position.
Benefits include: Medical/Dental + Orthodontics/Vision Coverage, 401k Match, Flexible Paid Time Off, Mindfulness First Fridays, Monthly Technology Stipend, Home Office Setup Stipend, Professional Development Stipend, Paid Parental Leave, Charitable Donation Matching, Volunteer Days.
Seesaw cares about building a diverse and inclusive team to better advocate for the needs of our incredibly diverse K-12 users.
We prioritize work-life balance and actually walk the walk — we care a lot about our work, but care more about our employee's well-being. We encourage everyone to work at a sustainable pace and have a flexible vacation policy that people actually use.
Seesaw provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religious creed, color, sex, sex stereotype, gender, gender identity/gender expression/transgender, national origin, ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age, sexual orientation, or military or veteran status. In addition to federal law requirements, Seesaw complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Seesaw is committed to protecting your personal data. Learn more about the personal information we collect, how we use it, and how to exercise your rights here: U.S. Privacy Notice.
Our company participates in E-Verify.
Don't let this one get away.
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