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Data Engineer

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
$135,000 - $175,000 a year
Compensation is based on the role's scope, market benchmarks, the person's expertise and experience, and the impact of their contributions to our business goals.
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PadSplit

Employment type

Full-Time

Region

North America

Location

Anywhere In The USA

Salary range

$135,000 - $175,000

Posted

14 days ago

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