Data Engineer (Mid-level)
Tackle.io
This job is no longer accepting applications
See open jobs at Tackle.io.See open jobs similar to "Data Engineer (Mid-level)" Coatue Management.Data Science
United States
Posted on Oct 1, 2024
Tackle is the leading solution built to help software companies generate revenue through a data-driven Cloud go-to-market (Cloud GTM). Our Platform and our team come together to help our customers identify the right buyers, grow cloud co-sell relationships, and transact efficiently at scale through AWS, Google Cloud, and Microsoft.
Tackle works with more than 500 software companies including Auth0, CrowdStrike, HashiCorp, Lacework, New Relic, Snyk, VMware, and many more at every stage—from companies scaling their go-to-market to the largest software companies in the world. We are venture backed by three of the world's top SaaS investors—a16z, Bessemer Venture Partners, and Coatue—to execute on our mission to positively transform the way that software is sold.
Data Engineers at Tackle will be part of a well-funded, fully remote, growth-stage company helping shape the way that software is bought and sold in the Cloud Marketplaces (AWS, GCP, Azure). We are built on the foundation that a 100% remote team can be the healthiest, happiest and most productive; from the beginning we have been intentionally building a phenomenal culture that ensures everyone feels connected no matter where they are working from. Our platform has enabled some of the software industry’s most successful names to get listed, start selling, and scale their Cloud Marketplace operations.
Tackle’s Engineering team is growing, and we are looking for talented engineers to craft solid and reliable software at a sustainable pace. We balance consistent innovation and improvement of existing products with new and exciting greenfield projects. You will work in an exciting, positive environment surrounded by kind, talented, creative people. Tacklers have a bias to action, and we act without ego; in all interactions we know it is critical to respect, value and support each other. We succeed and fail as a team, with a mindset of pursuing success instead of avoiding failure. Wellness is a critical pillar of the company and we live this value in a variety of ways, with empathetic servant leadership at every level and flexible working hours to ensure a healthy work-life harmony.
Developer experience at Tackle is rewarding; we work with modern toolchains and pipelines, where code is deployed to production multiple times per day. In this role, you will aggregate and analyze disparate data sources to provide insights into data that will empower our customers to make better decisions and grow their businesses. Working on a development team at Tackle, expect to grow and evolve as an engineer by building and executing on a detailed growth plan tailored to your interests and aspirations.
What You'll Do:
- Be part of an autonomous team of engineers, to build, enhance and maintain existing areas of the Tackle Data Platform.
- Solve technical problems of moderate scope and complexity.
- Generate reporting and analytics to support business processes.
- Own your domain and code from start to finish. Take pride in what you build.
- Consult on the development and implementation of the Tackle Data Platform.
- Mentor less experienced Data Engineers and learn from those who are more experienced to set the standard for the next generation of Tacklers.
- Actively and enthusiastically participate in thorough code reviews and troubleshooting complex issues.
- Be curious - strive to understand how your contributions tie into the larger picture of your team, your product and Tackle as a whole.
- Welcome different perspectives - be open and inclusive in every interaction.
- Limited travel to the company offsite and product development offsite annually.
You Should Have:
- 2+ years of experience as a Data Engineer or similar role.
- Strong fundamentals in a data related discipline: data warehousing, data modeling, data science.
- Knowledge of Extract, Load, and Transform (ELT) methodologies.
- Have worked with relational, document, or graph databases, as well as experience with data lakes and data warehouses.
- Desire to hold yourself and the team to high standards while evaluating technical trade-offs and delivering balanced solutions.
- Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
- Leadership and mentoring experience, with a track record of guiding junior engineers and managing project deliverables.
- Are self motivated with strong organizational skills.
- Have a positive and solution oriented mindset.
- Will thrive in a fully remote organization where flexible schedules require asynchronous communication.
- Communicate clearly and effectively in both verbal and written form.
You'll Stand Out:
- Experience working in a startup environment.
- Proficiency with Snowflake, dbt, Fivetran, Prefect, Streamlit, and Tableau.
- Have an understanding of cloud computing technologies and related emerging technology (S3, EC2, Lambda, Glue, Athena, Quicksight, etc.)
- Have a proven track record of building Dimensional Models.
- Have a customer first mindset and seek automation.
- Experience in building data pipelines using dbt and Python.
- Have a love for data (structured, semi-structured, and unstructured) and seek out solutions to make data consumable and meaningful.
Full-time employees currently enjoy these amazing perks and benefits:
· Work remotely from anywhere within the US & Canada
· Competitive salary
· Equity package
· Health, dental and vision coverage
· Company off-site summits
· Monthly wellness reimbursement
· Internet and phone reimbursement
· $1000 home ergo/office set up
· Generous vacation plan & flexible work hours
· 401k + matching
· Technology tools to do your best work
· Company surprises and swag
· Awesome co-workers
TACKLE VALUES:
Start with the customer - We succeed when our customers succeed. That's why every role at Tackle leads to the customer. We exist to support, guide, and empower our customers.
Explore and experiment - We are curious and creative at work, always looking for innovative ways to improve. We continuously iterate and push the boundaries of what's possible. Tackle is a safe place to try new things.
Learn and grow as a team - We seek and share knowledge across Tackle. We actively connect and collaborate with others. We welcome different perspectives and invite healthy debate.
Celebrate wellness - We value work-life harmony and personal well being. We share and appreciate stories of wellness every day. We are remote by design, so all Tacklers have the freedom to be their best selves.
Tackle together - We work openly and transparently at Tackle. We are caring, empathetic, and kind. Every Tackler plays a part in our welcoming, inclusive culture.
The Hiring Process:
We have a transparent and streamlined hiring process that can typically be completed in one to two weeks:
• Phone screen
• 3 additional video chat interviews (on occasion there may be opportunities for in-person interviews)
• Some positions may require a take home test or additional steps throughout the process (this will be communicated to the candidate)
We are a welcoming, diverse team with a wide range of backgrounds and experiences. We were born and built remote and welcome others who believe remote companies are the way companies will be built into the future. At this time, we can only accept applicants who reside within the United States and Canada.
Tackle.io is proud to be an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. Tackle makes hiring decisions solely based on qualifications, merit and business needs at the time. We hope to empower and support every individual and celebrate the diverse cultures, perspectives and experiences in our teams. Our Equal Opportunity policy applies to all employment practices within Tackle.
This job is no longer accepting applications
See open jobs at Tackle.io.See open jobs similar to "Data Engineer (Mid-level)" Coatue Management.