Data Engineer

At AbsenceSoft, we’re transforming the employee experience. Our secure, intuitive technology helps employers bring humanity, certainty, and efficiency to some of the most complex moments in the workplace. Built by HR professionals for HR professionals, we’re proud of where we’ve been and even more excited about where we’re going.

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.

What you'll do

• 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 ML and LLM models.
• Implement scalable architectures for embeddings, vector databases, and retrieval pipelines.
• Enable real-time and offline analytics workflows using best-in-class data engineering practices.
• Ensure data quality, lineage, observability, and governance across all data products.
• Deploy secure, cloud-native data infrastructure (AWS, Azure, GCP) for high-volume AI workloads.
• 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.
• Continuously evaluate new tools and technologies for improving performance, reliability, and agility. 

What you'll bring

• 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 (Snowflake, BigQuery, Redshift, Databricks).
• Experience supporting ML/AI workloads and collaborating with model development teams.
• Knowledge of vector databases (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).
• Ability to work autonomously and thrive in a fast-paced, collaborative environment.

Nice to Have

• Cloud: AWS (Redshift, S3, Lambda), Azure (Data Lake, Synapse), GCP (BigQuery, Cloud Functions)
• Streaming: Kafka, Kinesis, Pub/Sub, Spark Streaming, Apache Flink
• Workflow Tools: dbt, Airflow, Dagster, Prefect
• Storage & Processing: Snowflake, Databricks, Parquet, Delta Lake
• Vector Search: FAISS, Pinecone, Weaviate, txtai 

Why join us

At AbsenceSoft, we lead with our values:

Lead with Innovation - We create meaningful change through intelligence, focus and passion.  We embrace curiosity, data, and insight to shape the future of our industry. Always innovating, learning and evolving.

Elevate Every Voice - Every perspective matters. We listen, learn, and build a culture where diversity of thought and experience drives better solutions and smarter decisions.

Achieve Together - The customer fuels everything we do. We share knowledge, collaborate, celebrate wins, and face challenges as one team because success is always a collective achievement.

Drive Outcome - Every action we take delivers measurable value to our teams, our customers, and the employees they support. Accountability is non-negotiable. We honor our commitments, take responsibility for results, and see every success and setback as a chance to grow stronger.

We offer: