Senior Data Engineer

As a Senior Software Engineer you will play a key role in designing and building the foundational data infrastructure and APIs that power our analytics machine learning and product features. You’ll be responsible for developing scalable data pipelines managing cloud-native data platforms and creating high-performance APIs using FastAPI to enable secure real-time access to data services. This is a hands-on engineering role with opportunities to influence architecture tooling and best practices across our data ecosystem.

Daily Adventures and Responsibilities

• Architect and build robust scalable data pipelines (batch and streaming) to support a variety of internal and external use cases

• Develop and maintain high-performance APIs using FastAPI to expose data services and automate data workflows

• Design and manage cloud-based data infrastructure optimizing for cost performance and reliability

• Collaborate closely with software engineers data scientists analysts and product teams to translate requirements into engineering solutions

• Monitor and ensure the health quality and reliability of data flows and platform services

• Implement observability and alerting for data services and APIs (think logs metrics dashboards)

• Continuously evaluate and integrate new tools and technologies to improve platform capabilities

• Contribute to architectural discussions code reviews and cross-functional projects

• Document your work champion best practices and help level up the team through knowledge sharing

Competencies

• Excellent communication skills to work with engineering product and business owners to develop and define key business questions and build data sets that answer those questions.

• Self-motivated and self-directed

• Inquisitive able to ask questions and dig deeper

• Organized diligent and great attention to detail

• Acts with the utmost integrity

• Genuinely curious and open; loves learning

• Critical thinking and proven problem-solving skills required

• Proven experience leveraging AI tools to enhance software development processes including code generation debugging and productivity optimization.

• Candidates should demonstrate fluency in integrating AI-driven solutions into their workflows and a willingness to stay current with emerging AI technologies

Skills & Relevant Experience

Required:

• 5+ years experience in platform engineering data engineering or in a data facing role

• Experience in building data applications

• Deep knowledge of data eco system with an ability to collaborate cross-functionally

• Bachelor's degree in a quantitative field (Physical / Computer Science Engineering or Mathematics / Statistics)

Preferred:

• Experience using the Python data stack

• Experience deploying and managing data pipelines in the cloud

• Experience working with technologies like Airflow Hadoop and Spark

• Understanding of streaming technologies like Kafka Spark Streaming

The listed Pay Range reflects base salary range except for sales roles the range provided is the role’s On Target Earnings ('OTE') range meaning that the range includes both the sales commission/sales bonus targets and annual base salary for the role. This pay range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors including the candidate’s experience qualifications and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year flex PTO and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical dental and vision benefits.

Annual Pay Range

$156000—$195000 USD