About Shipwell
In a world where shipping expectations and complexity are greater than ever, Shipwell is on a mission to empower supply chain efficiency at scale across every company size, stage, and industry. Supply chain solutions today are highly disconnected, rigid, and difficult to use, but Shipwell is disrupting the status quo. Our solution combines everything our customers need in a comprehensive platform that adapts as the market and business demands change, so they can effectively manage the entire process in one place and never have to rip and replace. Shipwell is proud to be recognized by industry experts as a leader in shipping and logistics, including Gartner Magic Quadrant for TMS and Forbes 2020 Next Billion-Dollar Startup. Join us and be part of the Shipping Evolution(R)
Our Culture
Shipwell is a fast-paced, high-energy start-up that strives to build the future of shipping every day. Diversity of thought and cross-department collaboration is very important to us. We deliver open, honest, careful communication and work as hard as we play. We create & deliver solutions that are revolutionizing the industry, which brings excitement and purpose to our work. If you are looking for a place that will help you tap into your best work-self and give you hands-on experience building something big, then we invite you to come and build the future of shipping with us!
About the Role
Data Engineer to guide the development and delivery of data solutions and capabilities. As a core member of the data team, the Data Engineer is responsible for the design and evolution of our data pipelines, storage systems, and data management tools and processes. The Data Engineer works closely with analytics, solution architecture, and other stakeholders to understand and prioritize data needs and to ensure that our data infrastructure supports key business initiatives. As a Data Engineer, you will drive work to completion with hands-on development responsibilities, and you will partner with team leadership to provide thought leadership and innovation.
What you’ll do when you get here:
- Provides technical leadership to guide delivery of end-to-end data solutions.
- Collaborates with analysts and other stakeholders to understand their data needs and ensure that the data infrastructure supports their work.
- Develop training materials and execute training in Statistical Programming activities, for new and existing staff.
- Crafts and builds reusable components, frameworks, and libraries at scale to support data capabilities.
- Identifies activities for continuous improvement/automation and makes recommendations based on detailed analysis and standard processes.
- Drives data engineering processes and guides team members to ensure work is high quality and on time.
- Fixes data issues and performs root cause analyses to proactively resolve product and operational issues.
- Hands-on experience building data pipelines using AWS technology.
- Python, SQL, ETL/ELT.
- Develop Data Pipelines to build a data lake in AWS, leveraging technologies like EC2, S3, Lambda, Glue, Dynamo DB, Redshift etc.
- Expertise in building data ingestion tools using technologies like Python to extract data from Relational Databases/External API’s.
- Experience in Redshift/Snowflake or any MPP and columnar database on the Cloud.
- Self-starter, curious, accountable, enjoys a healthy level of autonomy, strong work ethic, able to succeed in a fast-paced, high intensity start up environment.
- Demonstrates agility and welcomes change.
- Contribute to process improvement initiatives
- Continuously improve data infrastructure to increase efficiency, scalability, and reliability.
- Ensure data quality and integrity through the implementation of best practices and data governance.
What you need to have:
- 5+ years of experience in data engineering or a related field
- 3+ years' experience in cloud environments like AWS
- Hands-on experience building data pipelines using AWS technology.
- Develop Data Pipelines to build a data lake in AWS, leveraging technologies like EC2, S3, Lambda, Glue, Dynamo DB, Redshift etc.
- Strong problem-solving and analytical skills
- Strong communication and collaboration skills
- Experience with big data technologies (e.g. Hadoop, Spark) is a plus
- Experience working on CI/CD processes and source control tools such as GitHub and related dev processes
- Experience with Databricks and Snowflake
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field (or equivalent experience)
- Life long learner
Why Shipwell:
- 401k plan (including match)
- Generous parental leave
- Competitive salary and equity opportunity
- Team building events and office competitions
- Friendly, talented, and inclusive company culture
- Office in Austin, TX or 100% remote
- Health, vision, dental, teladoc, HSA, FSA, & Life insurance
- Incredible growth opportunity at a fast growing company
- Subsidized wifi, cell phone, and educational reimbursements
- Receive a technology package including a MacBook Pro
---The Salary Range for this role is between $170,000 - $$190,000 based on Years of Experience, Skillset, and Location.
Here at Shipwell, we are a Remote Forward company. You have the opportunity to work within our office located in Austin, TX or you can choose to be fully remote.
Shipwell is an Equal Opportunity Employer and we will not tolerate discrimination or harassment of any sort. We do celebrate diversity and believe experience comes in different forms; many skills are transferable; and passion goes a long way. Diversity in our team makes for better problem solving, more creative thinking, and ultimately a better product and company culture.
Even more important than your resume is a clear demonstration of impact, dedication, and the ability to thrive in a fast paced and collaborative environment. Shipwell strives to have an inclusive work environment; so if you are hard working & good at what you do then please come as you are. We want you to contribute, grow, & learn at Shipwell and we encourage you to apply if your experience is close to what we’re looking for.
We are looking forward to adding new perspectives to our team!
For more information about Shipwell visit shipwell.com, or connect with us on Twitter @shipwell, LinkedIn, and Facebook.com/Shipwellinc
