The Role We Need:
PadSplit is hiring for a Data Engineer to build and maintain scalable data infrastructure that drives analytics, reporting, and decision-making across the organization. This role is critical to optimizing data pipelines, ensuring data reliability, and enabling cross-functional teams to unlock valuable insights in a remote, high-growth environment.
The Person We Are Looking For:
PadSplit is looking for a highly skilled Data Engineer with expertise in building and maintaining scalable data infrastructure using tools like PostgreSQL, AWS, Snowflake, and dbt. The ideal candidate is a collaborative problem-solver who is eager to optimize data pipelines, enhance query performance, and drive reliable, data-informed decision-making across the organization.
Here’s What You’ll Do Day-to-Day:
- Design, build, and optimize scalable ETL/ELT pipelines to facilitate seamless data ingestion and transformation processes.
- Develop and maintain data models to enable self-service analytics and reporting across the organization.
- Optimize database performance in PostgreSQL, ensuring efficient data storage, retrieval, and query execution.
- Implement and enhance search capabilities using NoSQL technologies like ElasticSearch or Solr to improve data discovery.
- Collaborate with data analysts to create insightful dashboards that support data-driven decision-making.
- Ensure data quality, governance, and security by adhering to best practices in cloud-based data environments.
- Monitor and troubleshoot issues within data pipelines, focusing on optimizing efficiency and reliability.
- Work closely with software engineers and product teams to integrate data solutions into operational workflows and product development.
Here’s What You’ll Need to Be Successful:
- 5+ years of experience in data engineering or a similar role, with a proven track record of designing scalable data solutions.
- Expertise in PostgreSQL, including database management, query optimization, and performance tuning.
- Hands-on experience with AWS cloud services such as S3, Lambda, Glue, Redshift, and IAM.
- Proficiency in data warehousing technologies like Snowflake, Redshift, or BigQuery for cloud-based data storage and analysis.
- Strong skills in data transformation, modeling, and building efficient ETL/ELT pipelines.
- Experience with data visualization tools like Mode, Looker, Tableau, or Hex to support analytics and reporting.
- Knowledge of ElasticSearch or Solr for implementing search indexing and query capabilities.
- Proficiency in SQL and Python, with experience in automation, scripting, and workflow orchestration (e.g., Airflow).
- Understanding of CI/CD pipelines, infrastructure-as-code principles, and cloud-based deployment practices.
- Strong analytical and problem-solving abilities, with a passion for leveraging data-driven insights to inform decisions.
- Nice-to-Have: Experience with streaming data solutions like Kafka or Kinesis, knowledge of machine learning pipelines, and familiarity with data privacy regulations such as GDPR or CCPA.
The Interview Process:
- Your application will be reviewed for possible next steps by the Hiring Manager.
- If you meet eligibility requirements, the next step would be a video screen with a member of the PeopleOps team for about thirty (30) minutes.
- If warranted, the next step would be a video interview with our CTO for forty-five (45) minutes.
- If warranted, the next step would be a video panel interview with key stakeholders at PadSplit for one-and-a-half (1.5) hour.
- The panel interview will require a candidate to work on a technical assessment where you will showcase your engineering skills to the panel for discussion.
- If warranted, then we move to offer!
Compensation, Benefits, and Perks:
- Fully remote position - we swear!
- Competitive compensation package including an equity incentive plan
- National medical, dental, and vision healthcare plans
- Company provided life insurance policy
- Optional accidental insurances, FSA, and DCFSA benefits
- Unlimited paid-time (PTO) policy with eleven (11) company-observed holidays
- 401(k) plan
- Twelve (12) weeks of paid time off for both birth and non-birth parents
- The opportunity to do what you love at a company that is at the forefront of solving the affordable housing crisis
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What We Do
At PadSplit we’re disrupting the affordable housing industry by creating safe, attractive, and respectable co-living environments. Our mission is to solve our affordable housing crisis one room at a time while leveraging housing as a vehicle for financial independence. If you’re motivated by the conviction that working people should have a decent place to live, and want to do something about it, come join us!
