Apptegy-posted 3 months ago
$115,000 - $215,000/Yr
Full-time • Senior
251-500 employees

As a Staff Data Engineer at Apptegy, you’ll have the opportunity to shape the future of our data strategy and infrastructure—not just build features. In this role, you’ll design and embed scalable, resilient data solutions that power user experiences across our product suite. You’ll work alongside a talented and growing group of Staff+ engineers, helping to define the technical vision that guides the entire organization. This role is ideal for someone who thrives on solving complex challenges at the intersection of product, engineering, and analytics. As a senior mentor, you’ll guide engineers, establish and champion data engineering best practices, and bring your strategic vision for data architecture to life. If you’re excited by the chance to make a lasting impact, influence technical direction at scale, and grow both your mentorship and technical expertise, we’d love for you to join us.

  • Lead the modernization, design, implementation, and maintenance of our data platform.
  • Own the architecture and development of end-to-end data pipelines.
  • Establish a single source of truth for all core data entities and define a synchronization strategy.
  • Define and enforce data quality, security, privacy, and governance standards.
  • Act as a technical mentor and a force multiplier for the engineering unit.
  • Partner with product, engineering, and customer success teams to understand business requirements.
  • A Bachelor's or Master's degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field, or equivalent experience with 8+ years of experience in software engineering or data engineering, with at least 3 years in a senior or staff-level role.
  • Proven experience at the Staff or Principal level in a data engineering or related technical role.
  • Demonstrated success in designing and implementing complex, end-to-end data platforms.
  • Expertise in Python, SQL, and other relevant languages for data manipulation and automation.
  • Experience with data streaming frameworks such as Kafka and Kinesis.
  • Strong knowledge of data architecture, data modeling, data warehousing and entity resolution concepts.
  • Extensive hands-on experience designing and building complex data pipelines and ETL/ELT processes.
  • Expertise in designing and implementing complex data distribution and synchronization strategies.
  • Demonstrated ability to lead technical conversations and collaborate with various stakeholders.
  • Exceptional problem-solving skills and a proactive, analytical mindset.
  • Prior experience with K-12 district and school data systems, particularly Student Information Systems (SIS).
  • Experience in the B2B SaaS industry.
  • Experience with AirFlow and DBT.
  • Familiarity with event-driven architectures and messaging services.
  • Familiarity with AWS cloud services relevant to data engineering.
  • Familiarity with Snowflake.
  • Proficiency or at least exposure to Ruby on Rails.
  • Familiarity with data pipeline, workflow management, and ETL tools like CloverDX.
  • Contributions to open-source data projects or engineering communities.
  • Comprehensive medical, dental, vision, and life insurance coverage.
  • Retirement 401(k) with employer match.
  • Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs).
  • Mental Health Reimbursement.
  • Unlimited paid time off.
  • Company-wide Winter Break.
  • Paid parental and medical leave.
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