Data Engineer

We are looking for a Data Engineer to work on developing and maintaining data solutions and data pipeline infrastructure supporting broader data-heavy functions within the company, including Reporting, Analytics and Data Science. The Data Engineer collaborates with Software Development and DevOps teams to maintain scalability, reliability and maintainability of the company’s overall technical stack. The Data Engineer also works closely with business and product teams to ensure timeliness and efficiency of data-driven decision making.

We operate a modern data stack that includes AWS, Snowflake, Fivetran, Airflow, DBT, Datarobot and Sisense. We also implement integrations with multiple ERP, CRM and Marketing solutions and proprietary systems of Real Estate Industry and Technology partners.

The primary focus of this role is to design, develop and implement clean and structured data for use by analysts and reporting. Responsibilities also include quality documentation and guidance on data engineering best practices.

Responsibilities:  

• Operates in a remote-first environment collaborating with individuals and teams distributed across multiple time zones worldwide
• Works with internal partner teams, and, occasionally, external partners on defining the scope and the requirements for data engineering projects
• Designs, develops and implements data engineering solutions
• Maintains work performance, transparency, and process compliance through usage of the company’s task tracking tools and communication channels
• Participates in projects of a broader Engineering and Data teams by acting as SME and as a contributor to business and engineering initiatives
• Works on continuous improvement of Mynd data engineering practices through platform/tools evaluation, documentation, knowledge sharing, etc

Qualifications:

• Flexibility in adjusting to technology stack selection. Ability and desire to learn new technologies quickly
• Strong proficiency in data modeling
• SQL fluency, preferably with exposure to multiple dialects
• Scripting skills relevant to development of data pipelines (strong preference for Python)
• Understanding of QA practices relevant to data engineering
• Familiarity with source control tools and CI/CD
• Understanding of performance tuning across multiple components of the technical stack
• Bonus points for more extensive experience with Mynd’s data stack – AWS, Snowflake, Fivetran, Airflow, DBT, Datarobot and Sisense

Being authorized to work in the U.S. is a precondition of employment and we are unable to sponsor H1-B Visas at this time.

Apply Here