Data Engineer

Summary

Join Shift Technology's Engineering team as a Data Engineer and play a pivotal role in designing, enhancing, and scaling our cutting-edge data platform. You will collaborate on the vision and architecture of Shift’s data platform, research and implement optimal tools and frameworks, and stay ahead of the curve by exploring new technologies. This role involves mentoring peers and fostering a culture of learning and innovation. We offer a competitive total rewards and benefits package, including flexible remote and hybrid working options, competitive salary, company equity, and generous PTO. Shift Technology is committed to diversity and inclusion, and we encourage applications from all qualified individuals.

Requirements

• Expertise in modern data engineering tools and practices
• Passion for continuous learning and exploring new technologies
• A collaborative mindset with a willingness to mentor and support team members
• Proficiency in data modeling
• Experience with NoSQL data stores (graph, document, etc.)
• Experience with data transformation tools (e.g. dbt, sqlmesh, pyspark)
• Strong programming skills (e.g., Python or SQL)
• Knowledge of big data technologies like Spark
• Familiarity with data warehousing
• You can communicate fluently in English

Responsibilities

• Design and Define: Collaborate on the vision and architecture of Shift’s data platform to meet evolving business and technical needs
• Tool Selection and Implementation: Research, evaluate, and implement the best tools and frameworks to optimize our data infrastructure
• Innovation and Experimentation : Stay ahead of the curve by monitoring technological advancements, conducting research, and building proof-of-concepts (POCs) to test new solutions
• Upskill and Mentor : Share your expertise by providing technical guidance, mentoring peers, and fostering a culture of learning and innovation

Preferred Qualifications

• Experience with designing scalable, robust data platforms
• Experience with ML serving
• You often come up with new ideas to solve complex problems
• You want your work to have an impact : rather than a cog, you see yourself as the engine
• You are used to work closely with cross-functional teams including data scientists or engineers

Benefits

• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Company equity
• Focus Fridays, a half-day each month to focus on learning and personal growth
• Generous PTO and paid holidays
• Mental health benefits
• 2 MAD Days per year (Make A Difference Days for paid volunteering)