Data Engineer

We’re seeking a Data Engineer to design and manage the data pipelines, platforms, and tools that power intelligent AI applications. You will work closely with data scientists, AI software engineers, and product teams to ensure our ML and LLM workloads are backed by scalable, secure, and high-performance data infrastructure. This is a hands-on, high-impact role where reliability and flexibility of data architecture is paramount.

We’re looking for engineers who care about data as infrastructure-building durable, elegant, and secure systems that power intelligent decision-making at scale., * Design, build, and maintain data pipelines for structured, unstructured, and semi-structured data sources.

• Develop and optimize data models, ETL processes, and batch/streaming data infrastructure.
• Partner with data scientists to support training, evaluation, and deployment of traditional ML and LLM models.
• Implement scalable architectures for embeddings, vector databases, and retrieval pipelines.
• Enable real-time and offline analytics workflows through best-in-class data engineering practices.
• Ensure data quality, lineage, observability, and governance across all data products.
• Contribute to the design of feature stores and MLOps platforms for continuous learning and model updates.
• Collaborate on Responsible AI workflows to ensure compliant data usage and access controls for sensitive information.
• Continuously evaluate new tools and technologies for improving performance, reliability, and data agility.
• Participate in a highly compliant environment while assisting to maintain company controls and security within your job role.
• Other duties as assigned.

• 5+ years of experience as a data engineer building large-scale, production-grade data pipelines.
• Strong command of SQL, Python, and distributed data processing frameworks (Spark, Flink, Beam).
• Hands-on experience with ETL/ELT tools and orchestration systems (Airflow, dbt, Prefect, Dagster).
• Familiarity with cloud-native data platforms (e.g., Snowflake, BigQuery, Redshift, Databricks).
• Experience supporting ML/AI workloads and collaborating closely with model development teams.
• Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings management.
• Understanding of data privacy, access control, and compliance in regulated environments.
• Proficiency in modern DevOps tooling for data infrastructure (Docker, Terraform, CI/CD pipelines).
• Ability to work autonomously and drive projects in a startup-paced, enterprise-focused environment.

Nice To Have

• Cloud Providers: AWS (Redshift, S3, Lambda), Azure (Data Lake, Synapse), GCP (BigQuery, Cloud Functions)
• Workflow Tools: dbt, Airflow, Dagster, Prefect

• This is a full-time, salaried position + bonus.
• AbsenceSoft provides a wide variety of perks and benefits. Including full medical, dental, vision, and life insurance. We offer a 401k and 401k match after your first year with AbsenceSoft.
• We support your professional growth including industry training and CLMS Certification, opportunities for additional industry and technology certifications, and continuing education.
• The salary range for this position is $202k - $230k.

At AbsenceSoft, we value an equitable and inclusive work environment and strive to build and foster diverse teams. Even if your work experience doesn’t align exactly with the position requirements, we’d still love to hear from you. You may just be the right candidate for this or other roles.

AbsenceSoft is elevating the leave and accommodations experience and is looking to hire amazing people like you! We create user-friendly, secure, and compliant technology that empowers employers to bring humanity, certainty and efficiency to the leave and accommodations experience. Made by HR Professionals for HR Professionals, we’re proud of where we’ve been and excited about where we’re headed. We value creative, innovative people who are passionate about their work and who believe there is always a better way.

Leading With Our Core Values

Make a Difference.

We are inspired to make an impact through our hard work, talent and passion. We push ourselves each day to better serve our teams, our clients, and our community.

Team First.

We are driven by team spirit not by self-interest. We value collaboration and approach our work with humility and a desire to win together.