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AbsenceSoft · 1 day ago

AI Data Engineer

United States

Full-time

Remote

Senior Level

$152K/yr - $190K/yr

5+ years exp

AbsenceSoft is transforming the employee experience with innovative technology designed for HR professionals. They are seeking an AI Data Engineer to design and manage data pipelines and infrastructure that support intelligent AI applications, collaborating closely with data scientists and product teams to ensure high-performance data architecture.

Information TechnologyManagement Information SystemsSaaSSoftware

Responsibilities

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

Qualification

Data pipeline designSQLPythonETL/ELT toolsCloud-native platformsML/AI workloadsVector databasesDevOps toolingAutonomyData governanceCollaboration

Required

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

Preferred

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

Benefits

Impact that matters. You’ll do work that shapes the future of the modern workplace

Flexibility and trust. We’re remote-first and results driven. You’ll have the freedom and flexibility to do your best work, wherever you do it best.

Growth and development. We believe the best work happens when people are growing. You’ll have access to learning resources, leadership programs, and real opportunities to take on new challenges and expand your impact.

Competitive rewards. We offer comprehensive benefits, a performance-based bonus program, and equity opportunities – because when we grow, you should too.

Time for life. Recharge and reconnect with flexible time off, paid holidays, and flexible leave programs designed to support every season of life.

Belonging and balance. We’re building an inclusive culture where every voice is valued, collaboration is celebrated, and success is shared.