Senior Data Engineer

At Technis, our mission is to simplify how people make decisions about physical spaces using real-world data. We design innovative products for connected spaces, and our engineers turn those designs into reality.

Our teams are curious by default; we love to solve problems and aspire to always learn and share our knowledge. We also believe great things happen when you combine thoughtful collaboration, light processes, and the freedom for people to be themselves.

To thrive in this role, you’ll need deep technical expertise, strong oral and written communication skills, and the ability to deliver robust data solutions while providing guidance to your team. You understand the importance of good documentation and enjoy crafting words that help onboard other team members faster. Through your actions, your team will successfully build, deliver, and release data-driven products into the world.

You'll work in a team composed of 5 to 8 talented cross-functional members (engineering, product, design, data, support).

Tasks

Design & Develop. Collaborate closely with your project team to develop scalable and efficient data pipelines, ensuring high-quality data ingestion, processing, and storage solutions.

Write Specs. Work with our Product and Delivery Managers to regularly refine the definition of the work in the product backlog, contributing expertise and gaining clarity when needed.

Estimate. Provide feedback on designs for completeness, implementation effort, and feasibility.

Plan. Collaborate with the Product team to plan future cycles by contributing to story definition, providing work estimates, and regularly identifying technical dependencies and blockers.

Push. Understand and advocate for ongoing cycle goals and help motivate our teams to finish those cycles on time and with minimal technical debt.

Pair. Review your team members' code submissions to ensure it meets the needs of the project in terms of quality, correctness, consistency, and performance.

Communicate. Participate in regular shares with stakeholders on project progress and delivered features and functionality.

Teach. Support the engineering department by sharing the technical knowledge you learn with your project teams.

Debug. Identify when your team members are stuck on a technical challenge and offer support.

Document. Produce documentation on methods, decisions, technical approaches, and other context to improve the developer experience on our projects.

Requirements

• 5+ years of experience in data engineering.
• Proficiency in building and maintaining data pipelines using technologies such as Apache Kafka, Spark, and Hadoop.
• Strong experience with SQL and NoSQL databases (i.e., PostgreSQL, MySQL, MongoDB).
• Hands-on experience with cloud platforms like AWS, GCP, or Azure.
• Knowledge of data modeling, ETL processes, and data warehousing solutions.
• Excited to learn new technologies and adopt new solutions to deliver amazing products and further your depth of knowledge as an engineer and technologist.
• Contributed to technical design discussions and helped evaluate different technical solutions to influence architectural decision making.
• Comfortable following general agile delivery methodologies and participating in regularly scheduled meetings and ceremonies (generally only two per week).
• Organized, self-motivated, and comfortable advocating for your needs, the needs of the project, and the needs of the team.
• Experience as a tech lead or technical management role is a plus, but not a requirement.

Benefits

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