Data Engineer

4 days ago

Fort Walton Beach, United States Talking Parents Full time

Job Title: Data Engineer / Data Scientist
Experience Level: Senior

Job Summary:

We are seeking a highly skilled Data Engineer or Data Scientist to join our team. The ideal candidate will have a strong background in working with complex datasets and querying large volumes of data in Microsoft SQL Server and/or Azure Data Explorer (KQL). You will play a key role in extracting insights from customer subscription data and platform usage, generating reports, and providing analytics that drive business decisions. This role will require collaboration with product teams, C-level executives, and technical stakeholders to ensure data requirements are translated into actionable insights and technical deliverables.

Key Responsibilities:

  • Data Querying & Analysis: Write and optimize complex SQL and KQL queries to analyze data in Microsoft SQL Server and Azure Data Explorer.
  • ETL Management: Leverage large ETL processes to gather, clean, and transform data from various sources, including subscription and usage data, for analytics purposes.
  • Analytics & Insights: Provide key analytics and insights into customer subscription behaviors, platform usage, and other critical KPIs that support business strategies.
  • Reporting: Develop data visualizations, reports, and dashboards using Excel, Power BI, or other business intelligence (BI) tools to present findings to stakeholders.
  • Azure Expertise: Utilize the Azure ecosystem, including Azure Data Lakes, Azure Data Explorer, and related Microsoft development tools, to manage and analyze large datasets.
  • SaaS Experience: Work within a SaaS or software product development environment to support product and operational data needs.
  • Collaboration & Communication: Work closely with product managers, C-level executives, and other business stakeholders to understand data-related needs and translate them into technical data requirements.
  • Data Quality & Governance: Ensure data integrity, accuracy, and adherence to data governance standards.
  • Process Improvement: Identify opportunities to enhance data pipelines, improve performance, and streamline data-related processes.
Qualifications:
  • Technical Proficiency:
    • Strong experience with Microsoft SQL Server and/or KQL (Kusto Query Language) in Azure Data Explorer.
    • Expertise in building and maintaining ETL pipelines, transforming large datasets for analytical purposes.
    • Hands-on experience with Azure Data Lakes, Azure Data Explorer, and other Azure data services.
    • Proficient in data visualization tools (e.g., Power BI, Excel) and reporting.
  • Experience:
    • 3+ years of experience in a Data Engineer, Data Scientist, or similar role in a SaaS or software product environment.
    • Proven experience analyzing subscription and usage data, with a deep understanding of customer behavior analytics.
  • Soft Skills:
    • Excellent verbal and written communication skills, with the ability to present data-driven insights clearly to both technical and non-technical audiences.
    • Ability to work collaboratively in cross-functional teams and with senior leadership.
    • Detail-oriented with strong problem-solving skills.
Preferred Qualifications:
  • Experience with Python or other programming languages for data analysis.
  • Familiarity with machine learning models and predictive analytics.
  • Understanding of data security best practices, including data masking, encryption, and role-based access controls.
  • Knowledge of data extraction from Google Play Store, Apple App Store, Stripe, RevenueCat, and Bloomreach (or other Customer Data Platforms.)

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