Middle Data Engineer

Ready to find your perfect job fit?

Welcome to HomeBuddy, where making a home awesome is like seeing a vision come to life! We are on a mission to create a friendly and trusted platform to connect homeowners with the right contractors across the US. 

What started as a small idea has become a fast-growing home improvement platform focusing on lead quality and long-term partnerships based on trust and mutual success. We are a product-first company with a long-term outlook - our platform consistently and positively evolves based on data insights and the most up-to-date tools.

This job is for you if:

• You would like to work in a positive atmosphere where teamwork and trust in your colleagues are primary values. 
• You succeed in an environment that values initiative and sharing feedback and where your suggestions and efforts are recognized and appreciated.
• You are used to taking responsibility for solving difficult tasks and are directly involved in how your efforts impact the final result.
  
  

This role is full-time and offers home working flexibility. 

Your future tasks will include:

• Build and maintain data infrastructure that enables the collection, storage, and retrieval of data;
• Create new data flows by integrating our data sources and ensuring they are reliable and efficient;
• Develop ETL pipelines, data warehousing, and data modeling to support business needs;
• Ensure data quality monitoring, reliability, and lineage by developing processes and tools to identify and correct data quality issues;
• Collaborate with other members of the Data & Analytics Team to optimize the data infrastructure and improve data governance;
• Provide documentation and training to end-users on data sources, pipelines, and data quality procedures;
• Stay current with the latest technologies and techniques related to data engineering, and identify opportunities to improve data infrastructure and analysis.

You’re going to need this to be successful in this role:

• 3+ years of experience in data engineering or related fields
• Expertise in Python and SQL
• Understanding of advanced data infrastructure, tools, and concepts
• Understanding of main data modeling concepts and their tradeoffs
• Experience with a cloud data warehouse (Snowflake preferred)
• Experience with a cloud platform (AWS preferred)
• Experience with a data transformation tool (dbt preferred)
• Strong analytical and problem-solving skills
• Business acumen & good communication skills (w/ technical and business stakeholders)
• Business fluency in English

Nice to Have:

• Experience with EL tools (e.g. Fivetran, Airbyte)
• Experience with orchestration tools (e.g. Prefect, Airflow, Dagster)
• Basic understanding of the ML lifecycle (training, evaluation, deployment, monitoring)
• Experience with data quality monitoring tools (e.g. Great Expectations, Monte Carlo, DataFold)
• Experience with ML pipelines and deployment tools (e.g. MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow)
• Experience with AI engineering tools and frameworks (e.g. Amazon Bedrock, LangGraph, CrewAI, Vertex AI Agent Builder)
• Familiarity with containerization and DevOps practices (e.g. Docker, Git)
• Experience in SaaS or Marketplace companies

Why choose HomeBuddy:

• Enjoy the freedom to work from anywhere without being tied to one place - while ensuring you are available to our team during the agreed working hours.
• Achieve a harmonious work-life balance with a flexible schedule tailored to your local needs, along with paid vacation, sick leave, and local holidays.
• Empower yourself with work equipment of your choice partially paid for by HomeBuddy and up-to-date apps and tools to maximize your productivity.
• Feel valued and appreciated with an industry-leading compensation package.
• Get recognized and rewarded for both outstanding individual efforts leading to extraordinary results and our team success. 
• Enhance your well-being with our allowance program covering fitness activities and mental health programs.
• Learn and expand your knowledge by both working on complex tasks and using paid training opportunities, including courses, events, and conferences.

If this sounds like you, we should talk!

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