Senior Data Engineer
Listed on 2025-12-01
-
IT/Tech
Data Engineer -
Engineering
Data Engineer, Software Engineer
Senior Data Engineer
Join to apply for the Senior Data Engineer role at Standvast Fulfillment
Who We AreStandvast is a modern, tech‑driven third‑party logistics provider that engineers solutions across the entire supply chain, enabling our customers to leverage a national fulfillment network. We deploy proprietary machine‑learning technology and best‑in‑class fulfillment capabilities to drive improved outcomes for our clients and their customers.
Solution Overview- Mass‑customized order fulfillment services
- Machine‑learning systems (AI) to drive transparency and empower client teams to improve results relentlessly
- Simple, secure, closed‑loop data flow from the customer back to the manufacturer to eliminate waste and operate lean
We are a build‑first, cloud‑first, remote‑first engineering team. Dev Ops, CI/CD, and TDD are foundational assumptions. We are a Python/Django shop with React front ends, Databricks as our data platform, Tableau as a BI tool, and AWS as our infrastructure. Most team members come from a background in large distributed systems in a retail environment.
You will be a member of our small data engineering team. This is a hands‑on, build‑oriented technical role. We’re looking for an experienced technical contributor who is excellent at their craft and can also lead others by example. You will own your code here – you will be expected to build, operate, and maintain the structures, jobs, and integrations that you create.
This is a fully remote role.
- Be a sought‑after technical partner who works with product managers and business teams to understand problems and propose solutions
- Build high‑quality solutions that implement engineering best practices
- Mentor junior data engineers and analysts, leading by example
- Maintain high operational excellence, participate in the team on‑call support rotation and constantly improve our systems
- 5+ years of professional, non‑internship experience as a data engineer
- Production experience with Databricks, Snowflake, or Big Query platforms
- Senior‑level experience with engineering practices (CI/CD, testing, monitoring, and metrics analysis)
- Highly proficient in Spark, SQL, Python (will be tested)
- Be able to travel to one of our warehouse locations 2‑3 times per year
- BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
- Authorized to work in the United States for any employer
- Preferred:
Experience setting up ML environments for data science experiments - Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of employment Visas at this time
- Prolonged periods of sitting:
The role requires working at a desk and using a computer for extended periods. - Manual dexterity:
Frequent use of hands and fingers to handle or operate office equipment, such as keyboards, phones, and copiers. - Visual acuity:
Ability to read documents, spreadsheets, and computer screens for prolonged periods. - Occasional standing, walking, and reaching:
May be required to move about the office, retrieve files, or attend meetings. - Lifting and carrying:
Ability to lift and carry items weighing up to 15 pounds. - Hearing and speaking:
Clear and effective communication in person and via phone or virtual platforms. - Minimal physical exertion:
The role primarily involves sedentary work, with occasional physical activity as needed.
- Medical insurance with 100% employer covered HRA
- Equity in a fast‑growing company
- Dental and vision insurance
- Short‑ and long‑term disability insurance are 100% employer covered
- Basic life insurance is 100% employer covered
- Accident and critical illness insurance
- Supplemental term life insurance
- 401(k) with 5% company match for non‑HCE employees
- Robust employee assistance program
- Care for customer first – Our solutions start with and focus on our clients and their customers.
- Stay humble and work hard – Our mission is to enable our clients' and teams’ success we must work tirelessly together to deliver our vision.
- Expect more – Trust, integrity, transparency,…
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