Our client provides smart building technology that delivers real-time insights to optimize indoor spaces, improve workforce productivity, predict real estate needs, and enhance operational efficiency, including reducing energy costs. Their smart building solutions include indoor air quality and comfort monitoring, high-efficiency HVAC filtration, space utilization sensors, occupancy-based building controls, and real estate performance analytics. With a secure, scalable, and easy-to-use connected platform, they empower owners, operators, and tenants to prepare their buildings for the future.
About The Role:
Our client combines best-in-class IoT-enabled sensors, UV-C technology, and connected data to create an unparalleled ecosystem in efficacy and sustainability that fundamentally changes the health of any building. Their IoT and analytics infrastructure is at an inflection point for extensibility and scale, and they are looking for a versatile, hands-on Data Engineer to help guide this transition.
As the founding Data Engineer, you will spend most of your time designing, building, and maintaining data pipelines and the data warehouse. The team is small with a diverse product portfolio, so they will also need your help with database improvements and schema changes to ensure a highly performant app.
To ensure success as a Data Engineer, you should have advanced programming skills, a keen eye for detail, experience building efficient data pipelines for large data volumes, and a desire to be an integral part of the software development effort.
Responsibilities
Build data pipelines:
Design, develop, and implement data pipelines to dedupe and clean incoming sensor data.
Create robust, scalable, and maintainable data infrastructure.
Design and implement flexible data models to enable analysis across business domains and instrument data quality checks to ensure accurate reporting.
Contribute to the data architecture at our client.
Collaboration:
Work directly with the full-stack software engineering team, influencing strategic design and working side by side daily as part of the Agile/Scrum process.
Collaborate with cross-functional teams, including Software/Firmware Engineers, Product Managers, and QA team members, to enhance overall software quality and performance.
About You
Bachelor's degree in Computer Science, Information Technology, or a related field.
7+ years of experience as a Data Engineer.
4+ years of experience creating and maintaining data transformation pipelines with Airflow, dbt, or similar tools.
Advanced knowledge of relational and timescale databases.
Advanced knowledge of SQL and data modeling best practices.
Up-to-date knowledge of the rapidly changing landscape of data tools and best practices.
Proficiency with programming script languages, including Python, JavaScript, and PHP.
Working experience with data analysis libraries in Python (Pandas, NumPy) or R (dplyr).
Strong understanding of software testing methodologies, tools, and best practices.
Excellent problem-solving skills and attention to detail.
Effective communication and collaboration skills within a team-oriented environment.
About The Team
The team firmly believes in over-communicating. As a remote team, over-communication is one of their core principles. This includes asking any question, no matter how small, speaking up when there are concerns, ideas, or feedback, and documenting technical information. They also prioritize convention over configuration, keeping their stacks as similar as possible across projects. As a result, new team members can ramp up on any project quickly, and the team remains open to improving this process.
Their development life cycle is predictable and efficient, but they continuously seek improvements. They welcome new solutions, methods, and technologies as long as they contribute to achieving goals efficiently. Those who are passionate about ensuring software quality through effective automated testing and possess the required skills are encouraged to apply and contribute to the success of their cutting-edge software solutions.
Benefits:
Generous time-off policies and paid holidays
Competitive total compensation with equity
Health benefits (medical, dental, vision) and 401(k) program starting on day one
Up to 12 weeks paid parental leave
Monthly stipend to support home internet and cell phone for work purposes
Budget for WFH equipment
Monthly in-office lunches and happy hours
Learning and development support
Hybrid work environment with only one mandatory day per week in office

Join our client, a pioneer in smart building technology, dedicated to optimizing indoor spaces, enhancing workforce productivity, and promoting operational efficiency. Their innovative solutions include indoor air quality monitoring, high-efficiency HVAC systems, occupancy-based controls, and comprehensive real estate performance analytics. With a secure and scalable connected platform, they are empowering clients to prepare their properties for the future.
About The Role:
As the inaugural Lead Data Engineer, you will play a crucial role in transitioning our IoT and analytics infrastructure, ensuring it scales effectively. Your primary focus will be on designing, building, and maintaining data pipelines and the data warehouse. Given the diverse product portfolio and a small team, your expertise will also be invaluable in optimizing database performance and implementing schema improvements.
To thrive in this role, you should possess advanced programming skills, meticulous attention to detail, and experience in constructing efficient data pipelines for large data volumes. Your contributions will be vital to the software development team.
Responsibilities
Build Data Pipelines:    Design and implement data pipelines to deduplicate and clean incoming sensor data.
Create a robust, scalable data infrastructure.
Develop flexible data models to facilitate analysis across various business domains and ensure data quality for accurate reporting.
Contribute to the overall data architecture strategy.

Collaboration:    Work closely with the full-stack engineering team, influencing designs and participating actively in the Agile/Scrum process.
Collaborate cross-functionally with Software/Firmware Engineers, Product Managers, and QA teams to enhance software quality and performance.

About You
Bachelor's degree in Computer Science, Information Technology, or a related field.
7+ years of experience as a Data Engineer.
4+ years of experience in creating and maintaining data transformation pipelines using tools like Airflow, dbt, or similar.
Proficient in relational and timescale databases.
Extensive knowledge of SQL and data modeling best practices.
Familiarity with the evolving landscape of data tools and best practices.
Strong programming skills in Python, JavaScript, or PHP.
Experience with data analysis libraries in Python (like Pandas and NumPy) or R (such as dplyr).
Understanding of software testing methodologies, tools, and best practices.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills in a team-oriented environment.
About The Team
Our client’s team values open communication and aims to foster a supportive remote work environment. Team members are encouraged to ask questions, voice concerns, and share ideas freely, ensuring comprehensive documentation of technical details. The team employs a convention-over-configuration approach, simplifying project onboarding and fostering continuous improvement. They are eager to explore new solutions and technologies that contribute to efficiency and project success.
Benefits:
Generous time-off policies and paid holidays.
Competitive total compensation with equity options.
Comprehensive health benefits (medical, dental, vision) and a 401(k) plan from day one.
Up to 12 weeks of paid parental leave.
Monthly stipend for home internet and cell phone expenses.
Budget for work-from-home equipment.
In-office lunches and happy hours each month.
Support for learning and development opportunities.
Hybrid work setup with only one mandatory day per week in the office.

Data Engineer Tangerine Search Inc. Jobs

Senior Data Engineer
March 12, 2025

Senior Data Engineer
March 7, 2025

Lead Data Engineer
March 7, 2025

Lead Data Engineer
February 25, 2025

Senior Data Engineer
February 24, 2025

Quick filters

Top companies

Data Engineer Tangerine Search Inc. Jobs

Senior Data EngineerMarch 12, 2025

Senior Data EngineerMarch 7, 2025

Lead Data EngineerMarch 7, 2025

Lead Data EngineerFebruary 25, 2025

Senior Data EngineerFebruary 24, 2025