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Description

We are seeking a **Data Engineer with hands-on AI/ML project experience in Databricks** to join the Databricks Solution Team within the IRS Advanced Analytics Program (AAP). This role is responsible for building, optimizing, and maintaining **data pipelines and feature engineering workflows** that directly support model training, deployment, and monitoring for IRS mission teams.

As part of the AAP common services mission, the Data Engineer will deliver **scalable, reusable, and compliant data engineering solutions** using Databricks and AWS. The ideal candidate brings a strong background in **data engineering for AI/ML use cases** — ensuring data readiness and accessibility across the entire AI/ML lifecycle.

Key Responsibilities

+ Design, build, and maintain **data pipelines in Databricks** (Spark, Delta Lake, MLflow) specifically tailored for AI/ML and GenAI use cases.

+ Implement **data ingestion, transformation, and feature engineering workflows** that feed model training and inference processes.

+ Collaborate with mission data scientists to ensure **datasets are optimized for model development and experimentation** .

+ Integrate pipelines into **CI/CD workflows** for automated, repeatable, and compliant model operations.

+ Optimize data workflows for **performance, scalability, and cost-efficiency** across multi-tenant workloads.

+ Apply **governance and security controls** (Unity Catalog, IAM, audit logging) to protect sensitive IRS data.

+ Support **data validation, schema enforcement, and quality checks** to ensure reliable model outcomes.

+ Partner with Product Manager and Chief Architect to align data engineering capabilities with roadmap priorities and platform evolution.

Qualifications

Required Qualifications

+ Bachelor’s degree in Computer Science, Data Engineering, or related field and 14 years or more experience; Master's degree at 12 or more years experience.

+ Must be a U.S. Citizen with the ability to obtain and maintain a Public Trust security clearance.

+ 5+ years of **data engineering experience with AI/ML-focused projects** .

+ Hands-on expertise with **Databricks, Spark, Delta Lake, and MLflow** in the context of AI/ML pipelines.

+ Proficiency in **Python, SQL, and data transformation frameworks** .

+ Experience delivering **feature engineering and data prep** for model development and operationalization.

+ Familiarity with **ETL orchestration tools** (Airflow, Databricks Workflows, or similar).

+ Knowledge of **CI/CD integration** for data pipelines (Terraform, Git-based workflows).

+ Awareness of **AI/ML lifecycle data needs** (training, validation, inference, retraining).

Desired Skills

+ Certifications: **Databricks Certified Data Engineer Associate/Professional** .

+ Experience in **federal or regulated data environments** (FedRAMP, NIST 800-53).

+ Familiarity with **AWS data services** (S3, Glue, Lambda, Redshift) integrated with Databricks.

+ Exposure to **Trustworthy AI practices** (bias monitoring, lineage, explainability).

+ Strong problem-solving and collaboration skills with architects, MLOps engineers, and mission data scientists.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

REQNUMBER: 2511074

SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability