Inside Real Estate is a fast-growing, independently-owned real estate software firm that serves as a trusted technology partner to over 500,000 top brokerages, agents, and teams. Their branded portfolio, BoldTrail, includes BoldTrail (Front Office), BoldTrail BackOffice and BoldTrail Recruit, solutions that create a complete tech ecosystem for clients, and deliver seamless end-to-end operations to scale success at any level. With an accomplished leadership team and its talented staff, Inside Real Estate brings the resources, scale, and vision to deliver ongoing innovation and success to their growing customer base.
We are looking for a Data Engineer to join a cross-functional team that serves as a virtual center of data excellence for the company.
As the Data Engineer, you will design and build analytic data stores and integration processes that meet the data needs of various internal and external constituents. The Data Engineer will be responsible for designing, building, monitoring, conceptualizing, innovating, and collaborating with team members and customers. You will be in a fast-growing and rapidly changing environment that will demand a continuous improvement mindset and a hunger for the next challenge.
Responsibilities:
- Be a proactive member of an autonomous, cross-disciplined team with a goal of building best in class data solutions that delight internal and external customers.
- Build ETL processes that integrate data from multiple, highly variant sources into analytic models and data stores that feed multiple end user solutions and perspectives
- Continually research and learn the latest approaches to building analytical solutions in highly variant data environments
- Work closely with our operations and other development teams to optimize source data acquisition processes and strategies
- Participate in technology evaluation and selection initiatives that grow the company’s core data and analytics capacity
- Understand product descriptions for new features and how they fit into the greater InsideRealEstate system while learning how our customers use them
- Take initiative on assigned day-to-day tasks and keep pace with the team to get the job done while knowing when to ask for help.
Required Qualifications:
- BS degree in Computer Science, Math or related technical field
- 2-4 years of work experience in a data engineering role
- A deep understanding of general ETL processing, data pipelines and data warehousing concepts and workflows
- Relevant work experience leveraging Apache Airflow and AWS data processing and storage solutions
- Strong knowledge of SQL, PySpark and Python as primary languages for data engineering solutions
- Significant experience with large scale data sources, structures and processes
Preferred Qualifications:
- Experience deploying infrastructure as code with tools such as AWS CloudFormation
- Experience acquiring data from web based APIs
- Experience ingesting data from one of the following: Salesforce, HubSpot, Maxio
- Deep understanding and experience building star and/or snowflake data models
We offer a competitive total rewards package including:
- Competitive salary
- 3 Medical plans to choose from - 1 PPO and 2 HDHPs
- 2 Dental plans to choose from
- Vision
- HSA - company-funded
- FSAs - healthcare, limited purpose, dependent care
- Short-Term Disability - company-paid
- Long-Term Disability - company-paid
- Basic Employee Life Insurance - company-paid
- Voluntary Dependent Life Insurance
- Voluntary Accident Insurance
- Voluntary Critical Illness
- Voluntary Hospital Indemnity
- Legal Plan
- ID Protection
- Pet Insurance
- 401(k) Retirement Savings with company match
- Paid PTO/Vacation/Sick Time
- 11 company-recognized holidays
- Company-paid Parental/Disability Leave
In addition, at IRE, we focus on driving top results providing:
- Opportunities to grow within our company;
- Potential to work in a remote setting;
- Exciting/energetic work environment and fun, creative culture.
IRE EEO Statement - We believe that the unique contributions of all Insiders are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experiences we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status.